#library organizational chart

[libraryorgcharts]

Seattle Public Library Seattle, Washington link

[nonagesiiiimus]

GTN peripheral materials pt 1: eden's locked tomb reread

decided to start off with all the periphery in the print edition of gideon.

dramatis personae

i love the little italicized and before gideon's name. in my head it's read like "aaaaand last but most definitely not least.... GIDEON!!!!" like some kind of circus ringmaster. gideon runs out, shaking her clasped hands over her head like she won a prize fight.

all of these descriptions of the houses give me so many questions about the history of them. who is the Centurion of the second? or the shining dead of the third, and what is the procession? is there a physical tome that the eighth hold onto, or is it more metaphorical? (7-9)

also love the hint of abigail's mastery over the river by calling the fifth the "watchers of the river" (8)

the seventh being the rose unblown... the beautiful preservation of something very fleeting. life, beauty, passion.

the titles of people are very interesting to me too. the ninth house is so catholic coded. the fact that the tridentarii are princesses and their cavelier is a prince is super fascinating. isaac is a baron, dulcie is a duchess: it makes me really wonder about the power structures in each house. they're incredibly varying. a baron or duchess isn't normally the highest power in a country- still powerful, but not the same as a king- and yet they are the ones sent as the highest ranking scions of their house. i want to see the organizational chart for each house!

additionally: Rhodes, Tisis, Koniortos Court: are these cities? countries? municipalities? we know the library is the stronghold of the sixth, and it's a compound of sorts- like a miniature city of academia and history. i wish we could see a map of each house.

i want more clarity on what the fourth specializes in. combat for sure, spying is hinted at. FIDELITY, or faithfulness, is such a strong word.

i am also soooo curious about the fifth's structure. we know that they're rich from harrow's comments ("we are not becoming an appendix of the third or fifth houses", p. 58) and their "beautifully made" clothes (p.94) and from abigail, we see they are spirit magicians and "watchers of the river" from the book's opening poem (below). what's up with the koniortos court? koniortos is greek for dust or flying dust, with tracks with the fifth house presumably being on Jupiter. my assumption is that it's more of a royal court? especially because magnus is the "seneschal", which indicates a senior court position (more monarchical than judicial), and abigail is born AT court according to Judith's notes at the end of the book (p. 461-462).

opening poem

Two is for discipline, heedless of trial;

Three for the gleam of a jewel or a smile;

Four for fidelity, facing ahead;

Five for tradition and debts to the dead;

Six for the truth over solace in lies;

Seven for beauty that blossoms and dies;

Eight for salvation no matter the cost;

Nine for the Tomb, and for all that was lost.

no real notes here, except i think this is extremely relevant to each house and how their representatives on the first house act.

dedicating the next post to the Sermon and Judith's notes, as well as the naming guide Tamsyn provides!

[two-crabs]

14 15 26 37 for amity

14. What animal do they fear most? — she's not afraid of them but also amity does not fuck with cats.

15. How do they speak? Is what they say usually thought of on the spot, or do they rehearse it in their mind first? — amity thinks really really hard about how to say something in a way that sounds intelligent and considered and like she reads a lot, and then when that inevitably is an indecipherable mess she gets exasperated and just says whatever it was she was thinking in the first place.

26. What is their preferred mode of transportation? — a nice car that someone else is driving. (two-for-two so far!)

37. Do they have a system for remembering names, long lists of numbers, things that need to go in a certain order (like anagrams, putting things to melodies, etc)?  — like the library of alexandria, amity's notes app contains all human knowledge, every single one of her passwords, complicated diagrams and flow charts for the organizational bodies she's encountered. names and jobs of random npcs people she's met. annotated screenshots of important maps. definitions of bizarre arcane words she's learned. and also like the library of alexandria, once she closes the app she immediately forgets what she put in there and the knowledge is lost forever (or until she "cleans" it and deletes a bunch of important stuff by accident).

[archivyrep]

Archivists on the Issues: Sophisticated Bureaucracies, Archives, and Fictional Depictions [part 1]

Archivists on the Issues is a forum for archivists to discuss the issues we are facing today. Today’s post is by Burkely Hermann (me), Metadata Librarian for National Security Archive and current I&A Blog Coordinator. There are spoilers for each of the books, animated series, films, and other media he will be discussing. It was originally published on the Issues and Advocacy blog on Jan. 3, 2023. It was also published on my Wading Through the Cultural Stacks blog on Feb. 13, 2023.

This organizational chart of the National Archives and Records Administration is an example of an archival bureaucracy

Large government, corporate, and private archives are bureaucratic. Even though the so-called Information Revolution threatened to upend existing practices within archival bureaucracies, and structures of these institutions, new records management strategies developed, in Europe and U.S., which are as hierarchical as previous methods. [1] Bureaucracy remains firmly entrenched, in language, practices, and strategies of collecting institutions, whether the National Archives or Library of Congress. In this post, I'll discuss the role of bureaucracies in archival institutions and connect my findings to fictional depictions.

Recordkeeping often lends itself to bureaucracy, whether in non-profit organizations, corporations, or governments. Sometimes practices change and reinforce the bureaucracy of these institutions. This can include discouraging creation of "rich narrative reports", while supporting archival classification and arrangement as an "infrastructural tool". Furthermore, some bureaucracies are repressive, affecting restitution of captured wartime records. [2]

Unsurprisingly, culture of documentation has changed from being transactional to bureaucratic as organizationally sophisticated bureaucracies first developed in the 19th century. Scholar Francis Blouin called for new principles about diplomatics, referring to study of form, creation, and transmission of records, and their relation to facts within them, and their creators, to order to "identify, evaluate, and communicate their nature and authenticity." [3] Blouin argued that bureaucratic culture produces transactional and literary records, systematic recordkeeping, analytic records, and records created in respect to "sovereignty of people in democratic societies". In Blouin's view, in such societies, public accountability necessitates "particular forms and genres of recordkeeping." [4]

Other scholars have noted growing complexity, changing nature, and interrelatedness of government bureaucracies. Recently there has been a tendency to "free up" bureaucracy while encouraging entrepreneurship and risk-taking. The latter undermines archival missions. [5] Modern bureaucracies have defined existing file systems, even as archivists and historians are presented with many challenges. This includes influence on archival theory, especially by Weberian bureaucratic thinking, and controlling access to records. This was even the case in Eastern Europe, with political shifts in latter years of the Cold War caused archival access procedures to change. [6]

Modern bureaucracies have produced a "sheer mass of records". In the past, this caused archivists to use sampling in order to determine "research potential" of records and appraise them. Even so, archivists continued to experience frustrations when "dealing with" bureaucracy, while being a part of complex bureaucratic structures, which can include competing groups. [7] More recently, there has been discussion of how various technologies can change bureaucratic processes, including in the United Nations and Vatican. Other scholars have asked whether the role of archives in the life-cycle of government records is a way of "holding democratic governments accountable". The latter is the case in Germany, which has a strict division between records management and archival functions, with records remaining in custody of government bureaucracies. [8]

Fictional depictions of bureaucracies reflect some of these realities. One of the best known examples are the Vogans in Douglas Adams' The Hitchhikers Guide to the Galaxy, who destroy Earth because the planet is in the way of a hyperspace freeway. They are the embodiment of bureaucrats. The Vogans are inefficient, with absurdly lengthy official processes, and their continued efforts to thwart "any real progress in the galaxy." Adams' makes clear a metaphor: the house of protagonist Arthur Dent will be destroyed by an uncaring (and extremist) bureaucracy, just as the Vogans are doing to the planet. [9] Archives are not directly shown, but characters in the 2005 film view a restricted archival record from the Magrathean Public Archive. The record cuts off before revealing the name of a supercomputer, with a message stating that information has been deleted, as I noted in my post on the Issues & Advocacy blog back in December.

© 2022-2023 Burkely Hermann. All rights reserved.

Continued in part 2

Notes

[1] Bearman, David. “Diplomatics, Weberian Bureaucracy, and the Management of Electronic Records in Europe and America.” The American Archivist 55, no. 1 (1992): 169–70, 173–76, 180.

[2] Wosh, Peter. "Bibles, Benevolence, and Bureaucracy: The Changing Nature of Nineteenth Century Religious Records." The American Archivist 52, no. 2 (1989): 166-167, 169, 172, 175, 178; Montgomery, Bruce. "Saddam Hussein's Records of Atrocity: Seizure, Removal, and Restitution." The American Archivist, 75, no. 2 (2012): 326, 331, 333, 357.

[3] Blouin, Francis. "A Framework for a Consideration of Diplomatics in the Electronic Environment." The American Archivist 59, no. 4 (1996): 466-467, 471, 477-478.

[4] Ibid, 476.

[5] Wilson, Ian. "Reflections On Archival Strategies." The American Archivist 58, no. 4 (1995): 414, 416-417, 421, 423-424.

[6] Elliott, Clark. "Science at Harvard University, 1846--47: A Case Study of the Character and Functions of Written Documents." The American Archivist 57, no. 3 (1994): 448-450, 460; Menne-Haritz. "Appraisal or Documentation: Can We Appraise Archives by Selecting Content?" The American Archivist 57, no. 3 (1994): 528, 532-533; Ress, Imre. "The Effects of Democratization on Archival Administration and Use in Eastern Middle Europe." The American Archivist 55, no. 1 (1992): 86, 90-91.

[7] Kepley, David. "Sampling in Archives: A Review." The American Archivist 47, no. 3 (1984): 237-238; Lutzker, Michael. "Max Weber and the Analysis of Modern Bureaucratic Organization: Notes Toward a Theory of Appraisal." The American Archivist 45, no. 2 (1982): 120-122, 124, 126, 130.

[8]Taylor, Hugh. "'My Very Act and Deed': Some Reflections on the Role of Textual Records in the Conduct of Affairs." The American Archivist 51, no. 4 (1988): 456, 459-460, 464, 466; Zandt, Lauren. "A Future in Ruins: UNESCO, World Heritage, and the Dream of Peace." The American Archivist 84, no. 1 (2021): 214-217; Blouin, Jr., Frank. "A Case for Bridging the Gap: The Significance of the Vatican Archives Project for International Archival Information Exchange." The American Archivist 55, no. 1 (1992): 184, 186-188; Hering, Katharina. "Zwölf Wege ins Archiv. Umrisse einer offenen und praktischen Archivwissenschaft." The American Archivist 84, no. 1 (2021): 212-213.

[9] Fatima, Zahra. "Humor, Satire and Verbal Parody in The Hitchhiker’s Guide to the Galaxy: A Relevance Theoretic Approach." NUML Journal of Critical Inquiry 14, no. 11 (2016): 45, 51; Thompson, Thomas David. “The Hitchhikers Guide to the Galaxy: A Metaphorical Look at Life, the Universe, and Everything.” Bachelors, California Polytechnic State University, 2015, see pages 15-16.

[advanto-software]

How to Select Classes for Data Science That Will Help You Get a Job

It is always exciting and at the same time challenging as one can think of entering a career in data science. As much as organizations start practicing big data in their operations, they are likely to require data scientists. Performance in class greatly determines whether one will succeed in this competitive world hence the need to select the right courses. Read on for this step-by-step guide that will enable you to come up with a realistic plan on which classes to take to acquire skills and make yourself more marketable to employers. Here in this article, Advanto Software will guide you in the selection of classes for Data Science.

Defining the Essence of Classes for Data Science

We have to emphasize that, while considering courses, one should define the basic skills needed for a data scientist’s position. In simple words, data science is an interdisciplinary approach involving statistical analysis, programming, and domain knowledge. The primary skills needed include:

Statistical Analysis and Probability

Programming Languages (Python, R)

Machine Learning Algorithms

Data Visualization Techniques

Big Data Technologies

Data Wrangling and Cleaning

1. In this case, one should try to concentrate on those academic disciplines that form the basis for data science classes.

Statistical Analysis and Probability

Data science’s foundation is statistical analysis. This process comprises knowledge of distributions, testing of hypotheses, and inference-making processes out of data. Classes in statistical analysis will cover: Classes in statistical analysis will cover:

Descriptive Statistics: Arithmetic average, positional average, most frequent value, and measure of variation.

Inferential Statistics: Confidence Intervals, Hypothesis Testing, and Regression Analysis.

Probability Theory: Bayes’ Theorem, probability density and distribution functions and stochastic processes.

Programming for Data Science

To be precise, a data scientist cannot afford to have poor programming skills. Python and R are the two most popular languages in the area. Look for classes that offer:

Python Programming: Development skills in certain libraries, for instance, Pandas, NumPy, and Scikit-learn.

R Programming: This means focus on packages such as; ggplot, dplyr, and caret.

Data Manipulation and Analysis: Approaches to data management and analysis.

2. Master Level Data Science Concepts

Machine Learning and AI

Machine Learning is an important aspect of data science. Advanced courses should delve into:

Statistical Analysis and Probability

Supervised Learning: Supervised techniques like; decision trees, random forest, and Support Vector Machines both classification and regression.

Unsupervised Learning: Supervised methods such as decision trees, regression analysis, logistic regression, neural networks, support vector machines, and Naïve Bayes.

Deep Learning: Some of the most commonly referred neural networks include the following; neural networks, convolutional neural networks (CNNs), and recurrent neural networks (RNNs).

Big Data Technologies

Given the emergence of big data, big data technologies are becoming vital to be acquainted with. Classes to consider include:

Hadoop Ecosystem: Explaining Hadoop, MapReduce, and Hadoop file system (HDFS).

Spark: Learning Apache Spark about Big data faster data processing and analysis.

NoSQL Databases: Functions related to databases such as the use of MongoDB and Cassandra.

3. Emphasize Data Visualization Skills

Visualization Tools: Intensive analytical training in Tableau, Power BI, or D3 tools. Js.

Graphical Representation: Ways of effective and efficient making of charts, graphs, and dashboards required for business and other organizational units.

Interactive Visualization: Challenging language design and creating interesting data-driven narratives with the help of libraries like Plotly or Bokeh.

4. Field Work and Application organizations

Project-Based Learning

Hands-on experience is vital. Opt for classes that offer:

• Capstone Projects: Simulated business scenarios that replicate problems that organizations encounter.

• Case Studies: Solutions to data science problems in different domains and perspectives on the problems in depth.

• Internships and Co-ops: Companies and actual practice with them as a certain advantage.

Industry-Relevant Case Studies Classes For Data Science should include:

Domain-Specific Applications: Use of data science in various fields such as financial and banking, health services, sales, and marketing, or any other field of one’s choice.

Problem-Solving Sessions: Employing real-life business scenarios and finding quantitative solutions to the problems arising.

5. Evaluate the Fairness of the Credentials Presented by the Course Providers

Accreditation and Certification

It should be certain that the classes are from accredited institutions or offer certificates that are well-accepted in the market. Look for:

University-Backed Programs: University or Course / Curriculum offered by an accredited University or an Intuition.

Professional Certifications: Certifications from some of the many professional bodies like the Data Science Council of America or the Institute for Operations Research and the Management Sciences.

Instructor Expertise

The strengths of teachers prove to be very influential.

Instructor Background: Academic background or work experience, the author’s research papers and projects, and accomplishments in the field.

Course Reviews and Ratings: In the present study, information from past students about the usefulness of the course.

6. As for the factors making up the community, one has to consider Flexibility and Learning Formats.

Decide based on your preferences

Online Courses: In some cases, the students’ ability to set their own pace of learning and; Online programs are generally cheaper than their traditional counterparts.

On-Campus Classes: Close contact with the instructors as the students engage in a well-organized learning process.

Conclusion

Choosing the Advanto Software classes for data science is not a mere decision of choosing courses, but rather, it involves identifying the important competencies, extending the course topics to the basic and the modern levels, and also ensuring that the courses provide practical experience as much as possible with the 100% job assurance. It will therefore be beneficial to select courses that provide more extensive coverage on statistics, data programming, machine learning, and data visualization to enhance your chances of getting a job in data science. It is also important to evaluate the credibility of course providers and how learning formats can be adaptable to one’s career paths.

Join us now: advantosoftware.com/

[thecertexpert]

How to Build a Successful Data Analytics Career: Essential Skills, Tools, and Certifications

As businesses increasingly rely on data-driven decision-making, the demand for skilled data analytics professionals continues to surge across industries such as finance, healthcare, marketing, and technology.  

If you're seeking to build a successful career in data analytics, mastering core skills, utilizing key tools, and obtaining recognized certifications are critical steps to standing out in this competitive field. This guide outlines the key components to elevate your career in data analytics. 

What is Data Analytics? 

Data analytics is the process of examining large sets of data to uncover hidden patterns, correlations, and insights that inform decision-making. It involves various techniques and tools to collect, clean, and analyze data, transforming raw information into actionable intelligence. Key aspects include: 

Descriptive Analytics: Summarizes historical data to understand what has happened. Examples include reports and dashboards that provide insights into past performance. 

Diagnostic Analytics: Investigates data to understand why something happened. This involves identifying the causes of past outcomes and trends. 

Predictive Analytics: Uses statistical models and machine learning algorithms to forecast future trends and behaviors based on historical data. 

Prescriptive Analytics: Recommends actions to achieve desired outcomes. This involves optimizing strategies and decisions to improve future performance. 

Data analytics is used across various industries to drive strategic decisions, enhance operational efficiency, and gain a competitive edge. 

What Does a Data Analyst Do? 

A data analyst plays a vital role in interpreting data to support organizational decision-making. Their key tasks include: 

Collecting and Cleaning Data: Ensuring data accuracy and reliability by gathering and refining data from various sources. 

Analyzing Data: Applying statistical techniques to identify trends, patterns, and correlations. 

Visualizing Data: Designing charts and dashboards to present insights clearly. 

Reporting Findings: Summarizing analysis results and providing actionable recommendations. 

Collaborating: Partnering with different teams to address their data needs and deliver analytical support. 

Using Tools: Leveraging software like Excel, SQL, and Python for effective data analysis. 

Keeping Current: Continuously updating skills and knowledge with the latest industry trends and tools. 

Data analysts help organizations make data-driven decisions by converting complex data into clear, actionable insights. 

Let's discuss the fundamental skills for a data analytics career in the next section. 

1. Fundamental Skills for a Data Analytics Career 

To excel in data analytics, you need a combination of technical expertise and soft skills. Below are the foundational skills necessary for success in this field: 

a) Statistical Analysis and Mathematical Competency 

A strong grasp of statistics and mathematical concepts is indispensable for interpreting data, identifying trends, and making accurate predictions. 

b) Data Visualization 

Presenting data in a clear and visually engaging manner is crucial for stakeholders to understand complex insights.  

Proficiency in tools such as Tableau, Power BI, and D3.js allows you to translate raw data into actionable intelligence. 

c) Programming Expertise 

Languages like Python, R, and SQL are essential for data manipulation, querying databases, and automating analytical tasks. Python, particularly, is widely favored due to its extensive libraries, including Pandas and NumPy, which simplify data processing. 

d) Analytical Thinking and Problem-Solving 

The ability to address complex business challenges through data-driven solutions is a core competency. Strong problem-solving skills allow you to interpret data trends and derive meaningful insights. 

e) Communication Skills 

It’s not enough to analyze data and you must also effectively communicate your findings to non-technical stakeholders. Clear and concise communication ensures that complex data insights are easily understood and actionable. 

Here we will go through the key tools required for Data analytics professionals.  

2. Key Tools for Data Analytics Professionals 

Mastering industry-standard tools is vital for executing data analysis efficiently. Here are some of the essential tools commonly used in data analytics: 

a) Excel 

While basic, Excel remains a versatile tool for small-scale data analysis. It offers functions, formulas, and pivot tables, enabling efficient data management and analysis. 

b) SQL 

Structured Query Language (SQL) is critical for querying and managing relational databases. Whether you're working with platforms like MySQL, PostgreSQL, or cloud-based services like AWS Redshift, SQL is a core skill for accessing large datasets. 

c) Tableau / Power BI 

These leading data visualization tools help professionals create dynamic, interactive dashboards. They enable businesses to make informed, data-driven decisions quickly. 

d) Python & R 

Both Python and R are fundamental for advanced data analysis. Python, with its robust libraries like Matplotlib for visualization and Scikit-learn for machine learning, is essential for automating and streamlining data processes. R excels in statistical analysis and specialized visualizations. 

e) Big Data Platforms 

With the increasing volume and complexity of data, big data tools like Apache Hadoop and Spark have become indispensable. These platforms allow for the processing and analysis of massive datasets across distributed systems. 

Here is a comprehensive overview of the leading certifications for advancing your career in data analytics. 

3. Top Certifications to Advance Your Data Analytics Career 

Certifications can enhance your credentials, providing proof of your expertise and knowledge. Below are five top certifications that can help you stand out in the data analytics industry: 

a) Google Data Analytics Professional Certificate 

Overview: Designed by Google and offered through Coursera, this beginner-friendly certification provides comprehensive training in data analytics, covering everything from data cleaning to visualization. 

Program Details: The program typically takes six months to complete and includes hands-on projects and real-world case studies. Key tools taught include Google Sheets, SQL, and Tableau. 

Key Benefits: 

Ideal for beginners with no prior experience 

Hands-on experience through practical projects 

Builds a robust portfolio of work using real-world datasets 

Who Should Take This: Aspiring data analysts, career switchers, and professionals seeking a structured introduction to data analytics. 

b) Certified Analytics Professional (CAP) 

Overview: The CAP certification is a prestigious credential for experienced analytics professionals. It validates your ability to apply analytics to solve complex business problems and deliver actionable insights. 

Program Details: The CAP exam covers the entire analytics lifecycle, from identifying business needs to deploying models. Eligibility requires a combination of education and professional experience. 

Key Benefits: 

Globally recognized credential for analytics professionals 

Covers all stages of the analytics process 

Strengthens leadership and decision-making capabilities 

Who Should Take This: Mid-career professionals, business analysts, and data scientists aiming for leadership roles in analytics. 

c) AI+ Data & Robotics™ by AICERTs  

Use the coupon code NEWCOURSE25 to get 25% OFF on AI CERT’s certifications. Click Here to explore all the courses and enroll today. 

Overview: This certification explores the integration of artificial intelligence and robotics in data analytics, preparing professionals for cutting-edge roles in the rapidly evolving fields of AI and data automation. 

Program Details: The course emphasizes hands-on learning, covering advanced AI techniques, machine learning algorithms, and robotic process automation (RPA) to optimize and automate data analytics tasks. 

Key Benefits: 

Focus on innovative AI and robotics technologies 

Practical, hands-on experience with AI tools 

Prepares you for in-demand roles in AI-driven data analytics 

Who Should Take This: Data professionals and AI enthusiasts looking to specialize in AI and robotics applications within the analytics domain. 

d) Microsoft Certified: Data Analyst Associate 

Overview: This certification focuses on utilizing Microsoft Power BI to transform raw data into business insights. It is highly valuable for professionals who work within the Microsoft ecosystem. 

Program Details: Candidates must pass the “Analyzing Data with Microsoft Power BI” exam, which assesses skills in data modeling, visualization, and creating scalable data solutions. 

Key Benefits: 

Builds proficiency in Microsoft Power BI, a top business intelligence tool 

Enhances your ability to model and visualize data 

Suitable for professionals working within Microsoft environments 

Who Should Take This: Data analysts and business professionals utilizing Power BI for reporting and analysis. 

e) Cloudera Certified Associate (CCA) Data Analyst 

Overview: This certification is ideal for professionals interested in working with big data. It validates your ability to perform data analysis using SQL and the Apache Hadoop platform. 

Program Details: The hands-on exam tests your ability to perform real-world data tasks such as importing, querying, and exporting large datasets using the Cloudera ecosystem. 

Key Benefits: 

Proves expertise in SQL and big data tools like Hadoop 

Focus on practical, real-world scenarios 

Recognized by employers in big data and cloud industries 

Who Should Take This: Data analysts, big data engineers, and cloud professionals who need to demonstrate proficiency in large-scale data environments. 

4. Building Your Portfolio and Networking 

In addition to earning certifications, building a strong portfolio and expanding your professional network are key to advancing your career. 

a) Portfolio Development 

A well-structured portfolio showcasing your projects is crucial for demonstrating your analytical skills. Contribute to open-source projects, participate in Kaggle competitions, and display your work on GitHub to build your credibility and expertise. 

b) Networking 

Networking is vital for leveraging AI's advancements in data science. As AI enhances automated analysis, predictive analytics, and real-time data processing, connecting with industry professionals can provide valuable insights and opportunities.  

Improved data visualization and natural language processing are making data insights more actionable, while AI's role in data privacy and IoT integration drives innovation and efficiency. Expanding your network can keep you at the forefront of these developments. 

Conclusion 

The field of data analytics is expanding at an unprecedented rate. By developing essential skills, mastering the right tools, and earning key certifications, you’ll be well-prepared to thrive in this dynamic industry. Whether you're diving into sales analysis or driving business insights through predictive modeling, there’s no better time to invest in your future as a data analytics professional. 

To elevate your career in data analytics, consider enrolling in the AI+ Data™ certification. For more information or to get started, contact us now. 

[govindhtech]

Copilot Agents, Pages & More In Microsoft 365 Copilot Wave 2

Second, the Microsoft 365 app Copilot is improving quickly. Its users say Copilot in Microsoft Teams has transformed meetings forever and is the most valuable feature. We’re delighted to do the same for advanced Excel data analysis, PowerPoint storytelling, Outlook mailbox management, and more.

Third, Copilot agents make it easier and faster than ever to automate and execute business operations for you, letting you extend your team like never before.

Enterprises and small businesses help Copilot improve daily. Over 700 product upgrades and 150 new features were released this year based on that feedback. With GPT-4o and better orchestration, performance has increased greatly. Over two times faster copilot replies and nearly three times higher satisfaction. It created the world’s best AI feedback loop with Copilot. Copilot will continue to receive all the newest models and be improved based on your feedback, bringing new capabilities and models like OpenAI o1 with advanced reasoning.

Copilot Pages, the first AI-era digital artifact

Copilot is AI’s new UI. The process begins with Business Chat (BizChat), a single hub that integrates online, work, and line of business data into your workflow. BizChat combines your organizational content into a rich database of information and insight, letting you work with Copilot like a partner and converting every item into a reusable business asset. Iam thrilled to inform about Copilot Pages, a dynamic, persistent canvas for multiplayer AI collaboration.

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Pages preserves AI-generated material so you may modify, contribute to, and share it. Copilot lets you and your team collaborate in a page, seeing everyone’s work in real time and iterating with Copilot like a partner to add new data, files, and web content. This new work pattern is multiplayer, human-to-AI-to-human collaboration. Page availability begins today for Microsoft 365 Copilot subscribers and will expand in September 2024.

In upcoming weeks, Copilot Pages will be available to over 400 million users with a Microsoft Entra account, providing web grounding, enterprise data protection (EDP), and Pages. Microsoft Copilot is available at Microsoft.com/copilot and may be pinned in the Microsoft 365 app, Outlook, and Teams.

Powering productivity with Microsoft 365 Copilot

Microsoft 365 apps function for millions worldwide. There, Copilot is already a daily habit, boosting productivity and saving time.

Copilot in Excel 

Microsoft Excel is the front-end for all your business data, so people use it to work with it and get real value. Microsoft has announced Copilot in Excel’s general availability. Now you may work with non-table data. Its new talents allow more formulas like XLOOKUP and SUMIF, conditional formatting, and Copilot iteration on visualizations like charts and PivotTables to maximize Excel’s capability. Copilot in Excel now handles text as well as numbers.

Python, one of the most popular data-working computer languages, is now available with Copilot in Excel. Copilot lets anyone use natural language to forecast, risk, machine learn, and visualize complicated data without coding. It’s like hiring a skilled data analyst. Public preview of Excel-Python Copilot.

Copilot in PowerPoint 

Nobody turns an idea into a polished presentation in one prompt. Now publicly accessible, Narrative builder in Microsoft PowerPoint lets you collaborate with Copilot like a collaborator to generate a superb first draft in minutes while maintaining creative control. Copilot generates an outline with topics you may change and refine to create a presentation draft from your prompt. Soon, you can ground your topics with files in the outline. Brand manager lets Copilot use your company’s template for enterprise-ready, on-brand presentations. Copilot will soon import SharePoint Organization Asset Library company-approved photos.

Copilot in Teams

The spoken and chat exchanges at meetings today are crucial. Copilot in Teams can now analyze the meeting transcript and chat to provide a complete picture. For example, you can ask Copilot if you missed any questions in a meeting, and it will swiftly examine what was spoken and typed in the chat to find any unanswered questions. With Copilot in Teams, no inquiry, idea, or input is lost. This feature usually launches in September 2024.

Copilot in Outlook

Everyone struggles with email overload. Now, Copilot in Outlook lets you rapidly get to the messages that matter by evaluating your inbox based on email content and role context, such as who you report to and which email threads you’ve responded to. No more reading long emails Copilot automatically summarizes each one and highlights why it prioritized it and top observations. Soon, you may teach Copilot your favorite topics, keywords, and persons, making such emails high priority. The public will preview these features in late 2024.

Copilot in Word 

Microsoft Word commonly requires content from other documents and apps. However, finding and using the right information can take time and disrupt your writing. Later in September 2024, Copilot in Word will let you easily reference online data, work data like Word, PowerPoint, PDFs, and encrypted documents, emails, and meetings. It combines this information into your work flow so you can quickly write a good first draft. Microsoft made Copilot in Word a better writing buddy. A new, on-canvas start experience with suggested suggestions to jumpstart your creative process and inline collaboration with Copilot while you work on specific document sections are now generally accessible.

Copilot in OneDrive

Professionals keep their personal work files in Microsoft OneDrive, but we all spend too much time finding the proper documents or remembering which ones have the content we need. Copilot in OneDrive can swiftly reason over all your files to locate the information you need, making it easy to get insights, summarize, and compare up to five files with a clear, easy-to-read summary of the contents and differences without opening a file. OneDrive Copilot will be accessible by September 2024.

Copilot agents enable unprecedented team scaling

Introducing the general availability of Copilot agents. AI aides are called agents to automate and execute business procedures for humans. Simple prompt-and-response agents, agents that replace repetitious activities, and completely autonomous agents are all possible. You can do all this and more with Copilot agents by integrating agent power into your job. Copilot manages and orchestrates background agents for you. All Copilot agents are easy to operate and provide Responsible AI and EDP your data never escapes Microsoft 365 trust boundaries and everything happens within your tenant. Use pre-built agents like the new Visual creation agent to create AI-generated graphics, designs, and movies.

Its new, simpler agent builder powered by Copilot Studio makes building Copilot agents even easier.

BizChat

Anyone may simply create a Copilot agent in BizChat or SharePoint, unlocking the massive knowledge library in your SharePoint files. For instance, you could use agent builder to create an agent in BizChat, quickly connect it to SharePoint to load it with business process data, and instantly have a powerful knowledge resource you can share with colleagues in Teams or Outlook. Mention the agent like any other colleague to share new information and ask real-time inquiries. To develop a more powerful agent, you can tweak it in Copilot Studio to connect to a data source or conduct actions for you.

In the coming weeks, BizChat copilot agents and agent builder will be available to all customers. Copilot agents and SharePoint agent builder will preview in early October.

Read more on govindhtech.com

[affillicourse123]

The Velocity Profits Review: Unlock Your Financial Freedom in 2024

In a world where financial independence is a growing goal, the quest for effective online marketing methods has never been more immediate.

Many individuals want to embrace ingenious systems that promise to turn dreams into reality, but not all systems deliver on their promises.

That's where the Velocity Profits System gets in the spotlight, stirring enjoyment and skepticism.

Created by industry veterans Gerry Cramer and Chris Reader, the Velocity Profits Program positions itself as a groundbreaking technique for online entrepreneurship. Focusing on leveraging AI-powered tools and the thriving appeal of video advertisements on platforms like TikTok, this course claims to equip students with the crucial skills for success in a competitive market landscape.

However, is it an indispensable resource, or is it just another fleeting pattern?

In this article, we will provide an extensive analysis of the Velocity Profits System through the eyes of a real student, exploring its core features, training breakdown, and the experiences of individuals who attempted to start.

Join us as we dissect this ambitious venture's triumphs and trials, ultimately answering the burning concern: Should you enlist in Velocity Profits?

What is Velocity Profits System?

Discover the future of digital marketing and monetary liberty with the Velocity Profits System, a powerhouse platform customized to improve your making potential to brand-new heights! Crafted by the innovative trio of online service mavens - Rob Jones, Gerry Cramer, and Mark Ling-- Velocity Profits marches at the forefront of development. It's your ticket to utilizing modern AI innovation and sophisticated digital marketing methods aimed at sculpting your path to success.

Whether you're simply starting or an experienced online marketer, Velocity Profits accommodates all ability levels. Incorporating various financial instruments assures you will be your ruthless ally in the quest for high-ticket offers and reliable profit sources.

Here's the clincher: Velocity Profits' commitment to satisfaction is ironclad. Go through the ropes, and if you've sailed the course but haven't discovered your treasure in 180 days, you're entitled to an incredible 100% refund! They're not just selling you a dream—they're inviting you to start a well-charted journey to passive income.

Join the enthusiastic community of go-getters harnessing the full potential of Velocity Profits, where your financial fate awaits to be composed in the stars.

Introduction of The Velocity Profits Program Creators

Regarding forming dreams into reality with robust passive income streams, the Velocity Profits program stands tall among its contemporaries - thanks to the titans behind it. Visionaries Rob Jones, Gerry Cramer, and Mark Ling are not simply names but the pillars of online organizational change. These skilled experts have put their vast knowledge into crafting a tool laser-focused on making digital marketing and AI technology available to the masses.

Velocity Profits caters with a velour glove to both novices in the digital world and battle-hardened marketing veterans, making sure nobody is left in the race towards monetary emancipation. Envision has a library of proven templates at your fingertips-- this is just a taste of the preparatory toolbox Velocity Profits equips you with right from the start.

And let's talk assurances-- because who doesn't desire a security net? With Velocity Profits, plunge into the strategies and strategies, dive deep into the knowing, and if within 180 days the treasure chest doesn't open, you're covered with an incredible money-back pledge. Rob, Gerry, and Mark don't simply preach; they've set a banquet of success and invite you to feast.

Core Features of Velocity Profits Couse

Prepare yourself to unlock the secrets of high-octane affiliate marketing with the Velocity Profits Course-- a dynamic blend of cutting-edge AI innovation and human marketing know-how. This course isn't just a run-of-the-mill training program; it's a thoroughly crafted engine developed for maximum efficiency in the digital marketing quick lane. Whether you're just getting your feet damp or you've been swimming with the marketing sharks, Velocity Profits is your golden ticket to riding the waves of success.

Here's what makes the Velocity Profits Course the supercar of marketing approaches:

AI-Powered Simplification: Say goodbye to the complex, labor-intensive marketing of the past. With AI in your co-pilot's seat, simplify your projects and accelerate efficiency with minimal hands-on involvement.

Risk-Reduced Strategies: Dodge the typical pits of advertisement account shutdowns and unforeseeable earnings streams. Velocity Profits charts a course for smoother cruising in the troubled seas of digital marketing.

Scalability Without Ceiling: Once you hit that sweet spot with your marketing funnel, the sky's the limit. This course gives you the turbo boost to scale your earnings to dizzying heights without looking back.

Oiled-Up Marketing Machine: Access an arsenal of tools and design templates, each a cog in a well-oiled maker powering you towards repeatable and assured marketing success.

User-Friendly Interface: Embark on your journey with ease, thanks to an intuitive user interface that caters to both fresh faces and seasoned marketing mavens.

Conclusion: Should You Enroll in Velocity Profits?

Passive income and high-ticket offers are not simply nebulous dreams; they're genuine, attainable goals that can change your financial trajectory. However, sculpting out a path to success in the digital marketing arena can typically feel like browsing a maze. Here's where Velocity Profits beams like a lighthouse, providing a clear, effective system crafted with novices and skilled financiers in mind.

The platform's strength depends on its blend of advanced strategies with simplicity—ideal for those who desire a no-nonsense path to reliable profit sources. If you're trying to find a methodical way to escalate your earnings, Velocity Profits does not just hint at success; it hands you the extremely templates and scripts you need.

Dive into the heart of video marketing—the untapped potential of TikTok ads is a goldmine, and Velocity Profits reveals how to craft video advertisements that aren't just seen but felt and acted on. Reviews across the board praise its honest insight into the world of digital profits, with many declaring it a fresh technique, an AI-powered approach that has actually opened steady income streams.

When it comes to making an educated choice, the platform's sincere pros and cons analysis equips you with the understanding to choose confidently. In the busy world of digital marketing, Velocity Profits might be the spark that ignites your block in affiliate marketing, propelling you toward big-time commissions.

Decision: Enroll if you're ready to let your profits skyrocket!

[keyshop24]

Discovering Microsoft Visio: A Comprehensive Guide

Microsoft Visio is a powerful diagramming and vector graphics application that empowers users to create visually appealing diagrams, flowcharts, organizational charts, and more. In this guide, we explore the features, benefits, and practical applications of Microsoft Visio for professionals, teams, and organizations.

Introduction to Microsoft Visio

Microsoft Visio is part of the Microsoft Office suite, renowned for its versatility in creating diagrams and visual representations of complex information. Originally released in 1992, Visio has evolved into a sophisticated tool for professionals across various industries to visualize, analyze, and communicate ideas and processes effectively.

Key Features of Microsoft Visio

1. Versatile Diagram Types

Microsoft Visio supports a wide range of diagram types, including:

Flowcharts: Visualize workflows, processes, and decision-making steps.

Org Charts: Create hierarchical structures for organizations and teams.

Network Diagrams: Design and document network topologies, configurations, and infrastructure.

Floor Plans: Create layouts for buildings, offices, and facilities.

Gantt Charts: Plan and track project timelines, tasks, and dependencies.

2. Templates and Shapes

Visio provides customizable templates and a vast library of shapes and symbols tailored to specific diagram types. Users can drag and drop shapes onto the canvas, resize and format them, and connect shapes with dynamic connectors for clear visual communication.

3. Data-linked Diagrams

Visio allows users to link diagrams to external data sources, such as Excel spreadsheets or databases. This feature enables real-time updates of diagram elements based on changes in underlying data, enhancing accuracy and efficiency in data visualization.

4. Collaboration and Sharing

Co-authoring: Collaborate in real-time with team members on the same diagram using Visio Online or SharePoint integration.

Integration with Office 365: Share diagrams via OneDrive for Business, SharePoint Online, or email, facilitating seamless collaboration and document management.

5. Integration with Microsoft Ecosystem

Visio integrates seamlessly with other Microsoft products, enhancing productivity and workflow integration:

Microsoft 365: Access and edit Visio diagrams from any device with web-based editing capabilities.

Microsoft Teams: Share and discuss Visio diagrams directly within Teams channels or chat conversations for streamlined collaboration.

Benefits of Using Microsoft Visio

1. Enhanced Visual Communication

Visio empowers users to convey complex information and concepts visually, making it easier to understand and analyze relationships, processes, and systems.

2. Improved Decision-making

Visualizing data and processes in Visio helps stakeholders and decision-makers gain insights, identify patterns, and make informed decisions based on clear, concise visual representations.

3. Streamlined Documentation

Visio serves as a valuable tool for documenting processes, workflows, and organizational structures, providing a standardized format for internal documentation and external communication.

4. Scalability and Customization

From small businesses to large enterprises, Visio scales to meet diverse diagramming needs and offers extensive customization options to tailor diagrams to specific requirements and preferences.

Practical Applications of Microsoft Visio

1. Business Process Mapping

Use Visio to map out and analyze business processes, identify inefficiencies, and streamline workflows for improved operational efficiency and productivity.

2. IT Network Planning

Design and document network infrastructures, server configurations, and IT environments with detailed network diagrams and topology maps created in Visio.

3. Project Management

Create Gantt charts and project timelines in Visio to plan, schedule, and track project tasks, milestones, and resources effectively.

4. Facility Layouts and Planning

Design floor plans, office layouts, and facility diagrams in Visio to visualize spatial arrangements, furniture placement, and equipment positioning for effective space management.

Conclusion

Microsoft Visio is a versatile tool that empowers users to create, collaborate on, and communicate complex information and ideas through visual diagrams and charts. Whether for business analysis, project management, or technical documentation, Visio enhances productivity, facilitates decision-making, and promotes clear communication across teams and organizations.

[processrequisition]

A Comprehensive Comparison of Leading Process Mapping Tools

In today’s digital landscape, organizations rely on process mapping tools to visualize, analyze, and optimize their workflows. These tools play a crucial role in improving efficiency, identifying bottlenecks, and fostering continuous improvement within businesses of all sizes and industries. However, with a wide array of process mapping tools available in the market, choosing the right one can be a daunting task. This blog provides a comprehensive comparison of some of the leading process mapping tools to help you make an informed decision for your organization.

Lucidchart

Overview: Lucidchart is a popular cloud-based diagramming application known for its intuitive interface and extensive template library. It offers robust features for creating process maps, flowcharts, and diagrams collaboratively.

Key Features:

Drag-and-drop interface for easy diagram creation.

Integration with various platforms such as Google Workspace, Microsoft Office, and Slack.

Real-time collaboration and commenting.

Visio file import/export capability.

Extensive shape libraries and customizable templates.

Pros:

User-friendly interface suitable for both beginners and advanced users.

Cloud-based accessibility allows for seamless collaboration.

Rich integrations with other productivity tools.

Scalable for both small teams and large enterprises.

Cons:

Advanced features may require higher-tier subscriptions.

Limited offline functionality compared to desktop-based tools.

Microsoft Visio

Overview: Microsoft Visio is a widely used diagramming and process mapping tool that integrates seamlessly with other Microsoft Office applications. It is available both as a standalone desktop application and through Microsoft 365 subscriptions.

Key Features:

Extensive library of shapes, templates, and stencils.

Integration with Excel for data visualization.

Advanced diagramming capabilities including BPMN 2.0 support.

Real-time collaboration through Microsoft Teams.

Customizable templates for various industries and processes.

Pros:

Powerful integration with Microsoft ecosystem.

Robust diagramming features suitable for complex workflows.

Extensive customization options.

Offline functionality with desktop application.

Cons:

Steeper learning curve for new users.

Costly compared to some cloud-based alternatives.

Collaboration features may require Microsoft 365 subscription.

Bizagi Modeler

Overview: Bizagi Modeler is a process mapping tool specifically designed for business process modeling and automation. It offers a user-friendly interface and powerful capabilities for designing, documenting, and optimizing processes.

Key Features:

Drag-and-drop process modeling with BPMN notation.

Simulation and analysis of process workflows.

Integration with Bizagi Studio for process automation.

Cloud collaboration and sharing of process models.

Decision table and business rule modeling.

Pros:

Free to use with no limitations on model size.

Strong capabilities for process simulation and analysis.

Integration with Bizagi Studio for end-to-end process automation.

Community support and resources available.

Cons:

Limited integrations with third-party applications.

More focused on BPMN and process automation rather than general diagramming.

SmartDraw

Overview: SmartDraw is a versatile diagramming tool that offers robust capabilities for process mapping, flowcharting, and organizational charting. It is known for its ease of use and comprehensive template library.

Key Features:

Automated diagramming with templates and symbols.

Integration with Microsoft Office, Google Workspace, and popular cloud storage services.

Real-time collaboration and sharing.

Visio file import/export compatibility.

Automatic formatting and alignment of diagrams.

Pros:

Intuitive interface suitable for users of all skill levels.

Extensive template library for various diagram types.

Cross-platform accessibility with both desktop and online versions.

Affordable pricing compared to other enterprise-grade tools.

Cons:

Less customization compared to some advanced tools.

Limited integration options compared to specialized BPM tools.

Draw.io (Diagrams.net)

Overview: Draw.io, now known as Diagrams.net, is an open-source diagramming application that offers powerful capabilities for creating process maps, flowcharts, and diagrams. It is available as a web application and can be integrated with various cloud storage services.

Key Features:

Free and open-source with no user limits or subscriptions.

Integration with Google Drive, OneDrive, and Dropbox.

Real-time collaboration and revision history.

Extensive shape libraries and customization options.

Offline use with desktop application (Electron-based).

Pros:

Free to use with no feature limitations.

Strong community support and regular updates.

Integration with popular cloud storage services.

Customizable and extensible with plugins and add-ons.

Cons:

Interface may be less intuitive for beginners.

Less support for enterprise-level features compared to paid tools.

Self-hosted option requires technical setup and maintenance.

Conclusion

Choosing the right process mapping tool depends on your organization’s specific needs, budget, and existing software ecosystem. Each tool reviewed here offers unique features and capabilities, from user-friendly interfaces and extensive template libraries to advanced BPMN support and integration options. Whether you prioritize ease of use, advanced diagramming features, or cost-effectiveness, there is a process mapping tool that can meet your requirements and help streamline your business processes effectively. Evaluate these options based on your organization’s goals and preferences to make an informed decision that drives efficiency and innovation in process management.

SITES WE SUPPORT

Process Requisition - Wix

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[sathya32]

Deconstructing Data Roles: Scientist, Analyst, and Researcher

Professionals with the ability to infer inferences from data are in great demand in the big data era. However, technical terms employed in data-related fields might lead to miscommunications.Using knowledge from Pune's Best DataScience Course, let's investigate the primary reasons behind people's fascination with data science.

Data Researcher An explorer in the vast realm of data is what a researcher is like. Their primary duty is to collect and organize data from various sources. Think of them as information gatherers who look through datasets, databases, and other sources to find relevant content.

Primary Responsibility

1. Data Collection: They look through a range of sources, such as websites, surveys, research papers, and databases, to obtain raw data. 2. Data Cleaning: Raw data, which is often chaotic, must be cleaned and structured before analysis can begin. Data researchers are in charge of this initial cleanup. 3. Data exploration: Prior to diving into in-depth analysis, they conduct preliminary research to understand the structure, patterns, and potential insights within the data. 4. Documentation: Keeping thorough records of the procedures and data sources

Data Analyst:

Once the data has been gathered and cleaned up, the data analyst ought to take over. Data analysts go through data to identify important trends, patterns, and insights, much like detectives do. Because they provide certificates and job placement options, I heartily recommend the Datascience Online Training if you're interested in learning more about data science. These services are available both offline and online.

Primary Responsibility

1. Data Interpretation: Data analysts use statistical techniques and visualization tools to identify trends and glean insights from data. 2. Report Generation: Often with the aid of tables, graphs, and charts, they compile their findings into concise and understandable reports and dashboards. 3. Visualization: When complicated information is presented visually, stakeholders can understand it more easily. Data analysts are adept at visualizing data using tools like Tableau, Power BI, and Python libraries like Matplotlib and Seaborn. 4. Data-oriented Suggestions: Based on their research, data analysts make recommendations.

Data Scientist:

The wizards of the data realm are data scientists. They can tackle complex problems because they have a special combination of subject knowledge, statistical experience, and programming skills.

Primary Responsibility

1. Advanced Analytics: Data scientists use state-of-the-art statistical techniques and machine learning algorithms to extract patterns and forecasts from data.

2. Model Development: They build and enhance predictive models to solve specific business problems such as demand forecasting or customer churn prediction. 3. Algorithm Implementation: Data scientists write code to implement models and algorithms using Python or R, among other computer languages. 4. Cross-functional Collaboration: Data scientists work closely with stakeholders from all departments to understand business objectives and align data-driven solutions with organizational goals.

[libraryorgcharts]

Meridian Library District Meridian, Idaho link

[businesmodeling]

Understanding Business Process Modeling Notation

Business Process Modeling Notation (BPMN) is a method used to visually represent the steps of a planned business process from start to finish. It serves as a key component of Business Process Management (BPM), providing a detailed depiction of business activities and information flows necessary to complete a process.

History and Evolution

BPMN was initially developed by the Business Process Management Initiative (BPMI) and has undergone several revisions over time. In 2005, the BPMI merged with the Object Management Group (OMG), which subsequently took over the development of BPMN. In 2011, OMG released BPMN 2.0, introducing a more comprehensive standard for business process modeling. This version, now known as Business Process Model and Notation, expanded the set of symbols and notations available for creating Business Process Diagrams (BPDs). Additionally, BPMN has been complemented by the Decision Model and Notation standard since 2014, addressing decision flows in business processes.

Purpose and Benefits

At its core, BPMN aims to improve efficiency, adaptability, and competitiveness by providing a standardized visual representation of business processes. It serves as a common language for stakeholders involved in process understanding, implementation, and optimization, bridging the gap between business intent and technical execution. BPMN diagrams facilitate easier communication and collaboration among stakeholders, leading to the development of efficient processes that deliver high-quality results. Moreover, BPMN diagrams can aid in the generation of XML documents required for executing various processes, with standards like Business Process Execution Language for Web Services (BPEL).

Diagram Elements and Symbols

BPMN diagrams consist of various elements and symbols, including:

Flow Objects: Representing events, activities, and gateways within a process. Connecting Objects: Including sequence flow, message flow, and association, defining relationships between flow objects. Swimlanes: Dividing the diagram into pools and lanes to represent different participants or organizational units. Artifacts: Providing additional information such as data objects, groups, and annotations to enhance diagram clarity. Key Components of BPMN Diagrams

Events: Triggering actions that start, modify, or complete a process, classified into various types based on their function. Activities: Tasks or actions performed by individuals or systems, often detailed with sub-processes and variations. Gateways: Decision points within a process, directing the flow based on conditions or events. Sequence Flow: Indicating the order in which activities are performed. Message Flow: Depicting messages exchanged between participants across organizational boundaries. Association: Linking artifacts or text to events, activities, or gateways for additional context.

Sub-Models and Diagram Types

BPMN supports the creation of sub-models within diagrams to cater to diverse audiences, including private, abstract, and collaboration processes. Additionally, other diagram types such as choreography, collaboration, and conversation diagrams offer alternative views of process interactions and messaging flows.

Key Tips for Business Process Modeling

Clearly define the scope of the process, identifying its start and end points. Map the current business process to identify inefficiencies before modeling improvements with BPMN. Aim for diagrams that fit on a single page to enhance readability and understanding. Layout sequence flows horizontally and associations vertically for clarity. Customize diagram versions for different stakeholders based on their level of detail requirements. Use BPMN for process modeling, avoiding organizational structures or data flow representations. How to Use Lucidchart for BPMN Modeling

Lucid chart provides a user-friendly platform for creating BPMN diagrams. Users can access BPMN shapes libraries, drag and drop elements onto the canvas, and customize diagram appearance and layout. The tool enables easy collaboration, sharing, and exporting of BPMN diagrams to facilitate communication and implementation of business processes.

SITES WE SUPPORT

Business Modeling - Wix

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[scit-pune]

Charting Your IT Leadership Journey

In the lively urban center of Pune, where creativity flourishes and technology is dominant, Symbiosis Centre for Information Technology (SCIT) stands out as a symbol of top-tier IT education. SCIT is well-known for its innovative MBA in IT Management program and is considered one of the top MBA IT colleges in Pune, providing students with a transformative experience in developing industry-ready leaders. Let's explore what distinguishes SCIT and why it's the top choice for IT professionals who are looking to advance their career.

A Glimpse into SCIT:

Nestled within the prestigious Symbiosis International University, SCIT has been at the forefront of IT education for over two decades. With a focus on innovation, research, and industry relevance, SCIT prides itself on nurturing talent and fostering a culture of excellence among its students.

MBA in IT Management:

At the heart of SCIT's offerings lies its flagship program, the MBA in IT Management. Designed to equip students with a blend of business acumen and technical expertise, this program prepares graduates to navigate the complexities of IT management roles with confidence and proficiency.

The curriculum is carefully curated to cover a spectrum of subjects including strategic IT planning, project management, cybersecurity, IT governance, and more. Through a combination of classroom lectures, case studies, industry projects, and experiential learning opportunities, students gain invaluable insights into the dynamics of the IT industry and develop the skills necessary to drive innovation and organizational success.

What makes SCIT a good choice?

Skilled teachers: SCIT has a group of experienced faculty who bring industry knowledge and academic expertise to teaching. Their support and coaching are essential in molding the next generation of IT industry leaders.

Industry Connect: SCIT's robust industry collaborations offer students the chance to experience actual challenges and opportunities in the real world. Guest lectures, workshops, and industry visits that occur regularly enhance the learning process and provide valuable knowledge about industry trends and best practices.

Worldwide Viewpoint: Being a member of the Symbiosis group, SCIT provides students with chances to gain global experience through exchange programs, international conferences, and partnerships with well-known universities around the globe. In today's interconnected world, having a global perspective is extremely valuable as it provides students with a wider comprehension of IT management at an international level.

Cutting-edge Infrastructure: SCIT's contemporary campus boasts cutting-edge facilities such as high-tech classrooms, specialized labs, a fully stocked library, and recreational features, offering students an environment conducive to both academic and personal development.

SCIT's placement cell is committed to helping students connect with top IT companies through placement assistance efforts. SCIT makes sure that graduates are ready for successful careers after graduation with the help of a solid network of recruiters and alumni. In conclusion, for individuals aspiring to pursue a career in IT management, Symbiosis Centre for Information Technology (SCIT) emerges as the preferred choice among MBA IT colleges in Pune. With its rigorous curriculum, expert faculty, industry connections, and holistic approach to education, SCIT equips students with the skills, knowledge, and confidence to thrive in today's competitive IT landscape.

[vinooshiya]

Deciphering Data: Harnessing Visualization Tools for Insightful Analysis

In the realm of data analysis, the ability to visualize data effectively is paramount to extracting meaningful insights. Data analysts rely on a diverse set of visualization tools to translate raw data into actionable intelligence. Below, we'll explore several prominent tools favored by analysts for this purpose from the best data science course in Bangalore.

Tableau: Recognized for its intuitive interface, Tableau empowers analysts to create dynamic dashboards and visualizations with ease. Through simple drag-and-drop functionality, users can generate a wide range of visual representations, from basic charts to sophisticated predictive models. Tableau also offers advanced features such as data blending and spatial mapping for comprehensive analysis.

Microsoft Power BI: Seamlessly integrating with Microsoft's ecosystem, Power BI is a versatile tool for data visualization and business intelligence. Its seamless connectivity with various data sources enables analysts to transform raw data into compelling visuals, including charts, graphs, and geographical maps. With real-time analytics and collaboration capabilities, Power BI facilitates data-driven decision-making across organizations.

If you want to learn more about Data Science, I highly recommend the Data Science online training because they offer certifications and job placement opportunities. You can find these services both online and offline.

Python's Matplotlib and Seaborn: Tailored for analysts proficient in coding, Matplotlib and Seaborn are popular libraries for data visualization in Python. Matplotlib provides a robust set of plotting functions for creating basic visuals, while Seaborn simplifies the process of generating complex statistical plots. Leveraging Python's extensive ecosystem, these libraries empower analysts to manipulate and explore data efficiently.

R ggplot2: Following the principles of grammar of graphics, ggplot2 is a favored choice for data visualization in the R programming language. Its concise syntax enables analysts to craft intricate visualizations by combining elementary components. With a plethora of visualization options and customization features, ggplot2 serves as a valuable tool for conveying insights effectively.

Plotly: Available across multiple programming languages, including Python, R, and JavaScript, Plotly offers versatility and interactivity. Supporting an extensive range of chart types and equipped with features for building web-based visualizations, Plotly facilitates exploratory data analysis and the development of interactive dashboards and applications.

In essence, data visualization lies at the core of data analysis, enabling analysts to derive actionable insights from complex datasets. Whether through user-friendly interfaces like Tableau and Power BI or through coding with Python and R, analysts possess an array of tools to transform data into valuable knowledge, driving informed decision-making and organizational success.

[sifytechnologiessify]

https://www.sifytechnologies.com/digital-services/digital-asset-management/

Unlocking Digital Potential: Sify's Digital Asset Management Revolution

In the dynamic landscape of the digital age, where information flows at the speed of light, businesses are constantly seeking innovative solutions to manage their digital assets efficiently. Sify Technologies, a global leader in digital transformation, has emerged as a trailblazer with its cutting-edge Digital Asset Management (DAM) solution, empowering organizations to harness the full potential of their digital assets.

The Power of Sify's DAM: A Seamless Digital Experience

Sify's Digital Asset Management is a robust platform designed to streamline the creation, storage, retrieval, and distribution of digital assets. Whether it's images, videos, documents, or other multimedia content, Sify's DAM ensures a seamless and organized digital experience, enabling businesses to stay ahead in the competitive digital landscape.

Key Features and Benefits:

Centralized Asset Repository: Sify's DAM provides a centralized repository for all digital assets, eliminating the chaos of scattered files and folders. This ensures easy accessibility and retrieval, fostering collaboration among teams.

Intelligent Metadata Tagging: Leveraging advanced metadata tagging, Sify's DAM enables precise categorization and quick retrieval of assets. This not only saves time but also enhances overall workflow efficiency.

Version Control and Collaboration: With version control capabilities, Sify's DAM ensures that teams are always working with the latest and approved versions of digital assets. Real-time collaboration features facilitate seamless teamwork, fostering creativity and productivity.

Scalability and Flexibility: Sify's DAM is designed to grow with your business. Its scalable architecture accommodates the increasing volume of digital assets, making it a future-proof solution for evolving organizational needs.

Security at its Core: Security is paramount in the digital realm, and Sify's DAM takes it seriously. Robust access controls, encryption, and regular security updates ensure that your digital assets are protected from unauthorized access and cyber threats.

Realizing Business Value:

Sify's DAM goes beyond mere asset management; it's a strategic tool that adds tangible business value. By enhancing collaboration, reducing time spent on asset searches, and ensuring brand consistency, businesses using Sify's DAM witness increased productivity and improved brand reputation.

Use Cases:

Marketing and Branding: Marketers can swiftly access approved assets, ensuring brand consistency across campaigns, while creative teams can collaborate seamlessly on design projects.

Media and Entertainment: Managing vast libraries of multimedia content becomes effortless, facilitating content creation, distribution, and licensing processes.

E-commerce: Streamlining product image management, ensuring the accuracy of product information, and enhancing the overall customer experience by delivering visually appealing content.

Future-Ready Digital Transformation:

In a world where the digital landscape is ever-evolving, Sify's DAM positions businesses for success by providing a foundation for future digital transformation initiatives. By efficiently managing digital assets, organizations can focus on innovation, customer engagement, and staying ahead in an increasingly competitive market.

Sify's Digital Asset Management is not just a tool; it's a catalyst for digital success. As businesses navigate the complexities of the digital world, Sify stands as a trusted partner, empowering organizations to unlock the full potential of their digital assets and chart a course towards a future of innovation and growth. Experience the power of Sify's DAM and embark on a journey of seamless digital excellence.