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Business Intelligence Capstone Mastery Reflection - Business Intelligence Master’s Program

COURSE CONTENT & PERSONAL EXPECTATIONS

     It is the final Mastery Reflection post and I must say that it is bittersweet. So much knowledge has been absorbed, expectations have been exceeded, and yet so much is yet to be explored. The Business Intelligence Master of Science program has granted me the opportunity to build upon my experiential Business Intelligence (BI) knowledge, while introducing me to new concepts, methodologies, models and plans. 

     Specifically, here was my original outlook on what I expected to learn from the program:

• Mastery: Personal Development and Leadership will reiterate the integral roles that professional development, personal branding, social intelligence, and sound writing skills play in mastering one’s field. o Improve APA research skills and communication styles for academic success o Enhance problem-solving skills using a more strategic, non-emotional perspective

• Foundations of Business Intelligence (BI) will enhance experiential knowledge of business intelligence using a more academic and technical approach. o Improve technical conversations with other analysts and with BI systems vendors o Gain insights on BI project management 

• Enterprise Data Management will teach database design and data models, how to effectively communicate “complex technical information to a range of non-technical audiences” (Full Sail University, 2017). o Gain more insight on Human Resource Information System (HRIS) and Customer Relationship Management (CRM) o Gain knowledge on Decision Support Systems (DSS) and Enterprise Resource Planning (ERP) o Gain training on Knowledge Management Systems (KMS) and Supply Chain Management (SCM)

• Business Intelligence Technologies will improve comprehension of business intelligence systems design and data warehouse creation, as well as data warehouse management. o Gain insights on data cubes and data marts o Learn about statistical tools necessary to effectively analyze enterprise data o This will enhance my experiential learning in my current BI position

• Business Intelligence Analytics will increase knowledge of analytics and strengthens knowledge of statistical techniques. o Learn about predictive analytics o Apply predictive analytics to solve some data issues at work and improve on-demand reporting for customers o Explore whether Bayesian paradigm and Bayesian statistical methods can improve my current analyses for reporting purposes 

• Data Mining will teach effective ways to extract data and identify patterns. o Provide insightful summaries which influence strategic decision-making o Gain a broader perspective on reporting and project management issues associated with data extraction o Apply appropriate data mining concepts to daily tasks and measure effectiveness

• Patterns and Recognition will provide advanced knowledge of identifying patterns using statistics and an understanding of data structure. o Use data structure knowledge to identify limitations with using Oracle Business Intelligence, Business Intelligence and Microsoft SQL Management Studio o Use knowledge as a foundation to manipulate data for workarounds. o Use course to further capstone project preparation.

• Process Modeling and Analysis will reiterate the importance of sound business analysis and process improvement. o Apply proper use of business intelligence systems appropriate for respective companies or industries. o Explore DSS and key performance indicators (KPIs) further. o Improve current reporting and KPIs for recruiting and employee metrics through appropriate process modeling

• Data Visualization and Creative Reporting will sharpen presentation of complex analyses and reports to diverse audiences. o Learn more about dashboards and web-based reports o Use dashboards for on-demand reporting o Automate web-based report for frequently requested reports

• Business Intelligence Leadership and Communication Skills will refine investigative abilities which allows opportunities to create effective data analysis plans. o Apply “skills necessary for successful BI Professionals including listening, negotiation and meeting management” (Full Sail, 2017). o Finalize program capstone o Practice technical communication with BI associates 

• Business Intelligence Case Studies will allow opportunities to apply the BI skills and processes that I have acquired throughout my coursework to diverse array of business issues. o Explore appropriate use-cases for reporting, analyses and testing theories o Select and evaluate cases in detail based on issue at hand and proposed solution o Concisely summarize case results

• Business Intelligence Capstone will grant the opportunity to showcase lessons learned throughout the BI Master’s program. o Present data warehouse, key findings, thesis, recommendations and executive dashboard using sound data visualization skills o Exemplify “technical competence” (Full Sail, 2017) in capstone presentation and at work through technical communication when presenting new ideas o Provide a dashboard at work for on-demand reporting and provide snapshots of valuable data which measure key HR performance.   

     Needless to say, the program met my original expectations, in that, I hoped to apply what I learned in my BI career to improve current processes, enhance my overall position, and to be groomed for roles which required an elevated skillset.

ACCOMPLISHMENTS

     Beyond my expectations, I was able to grow my perspective so that it is well-rounded and multifaceted; as it encompassed leadership views, analyst insights, consultant recommendations, identifying challenges and developing models for process improvement. Presentation and visualization skills also matured from strictly professional to professionally engaging. So much so, that I used my improved skills to present current and future states of a reporting process to my client, helping them cut down their client spend research from 40 hours to 5 minutes. 

     My wording was changed from passive to confident; my data maintenance approach was instead used as a foundation for innovation and providing insights. And, lastly, being able to repeatedly rise to occasions under pressure, while working full-time as a consultant, as well as helping to run a business, and ensuring that I am completing assignments and engaging with my classmates—trained me to manage my time in a way that I may not have otherwise explored. 

     The BI Master’s Program has prepped me for the real world by all BI standards. It has encouraged me to continue being a life-long student and bridge any skills gaps standing in between my current professional self and the future elevated leader I aspire to be in the BI industry. Gaining certificates from Lynda.com do not only show that I take professional development seriously, but are credentials that I can list on resumes and applications to validate my background in BI. 

     Personal branding which may have appeared to be unrelated to BI prior to being in the program, is now a must. Actively seeking advice from my personal Board of Directors does not only shape the professional I am but it also helps me to increase my opportunities for showcasing my expertise and using my voice in the industry.

APPPLICATION

     So, how will I apply all that I have learned? I will not. For I have already begun applying everything I learned in 12 courses—from Foundations of Business Intelligence, all the way to my Capstone. And, to me, that is the epitome of a successful academic career. Knowing that I have a high ROI and I had already begun seeing the benefits of such a program, so early on, means that my work, sleepless nights, sacrifices, and resilience have not been in vain.

     One week ago, I secured an Operations Intelligence job where I will use Business Intelligence for operational efficiency, to increase sales, and to provide insights to leadership, including the CEO, for two chains of 3.000 restaurants. Without my newly acquired Master of Science Business Intelligence Degree, I would not have already analyzed 10 top fast food restaurants from the QSR 50 list. In addition, without my constant practice of data analysis, I may not have quickly analyzed sales data for a small business which enabled proper distribution of their products to their clients, while being understaffed.

     So, upon graduation, I will continue to use everything I have learned to diversify my BI knowledge and career pursuits. And in doing so, I will enjoy the many career directions that I can explore while using and applying the concepts of Business Intelligence. I am thankful to have learned from the best in the industry and hope to maintain relationships with all of my professors and as many classmates as possible. Still onward, still upward!

  REFERENCES

Business Intelligence Master of Science (2017). In Full Sail University. Retrieved June 2, 2019, from https://www.fullsail.edu/degrees/business-intelligence-master

Marr, Bernard (2017). Big Data in Practice How 45 Successful Companies Used Big Data Analytics to Deliver Extraordinary Results (pp. 25-30). West Sussex, UK: John Wiley & Sons. Retrieved June 2, 2019.

Richelle Desire LinkedIn https://www.linkedin.com/in/richelledesire

©2019 Richelle Desire

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Business Intelligence

As a student of Business Intelligence, I came into the program with an open mind. I didn’t set any specific expectations except give it my all and learn as much as possible. I was advised I would be accessing a lot of big data and utilizing different tools to organize the data into simpler charts. I expected to have more visuals or walk through assignments where I could understand what is being asked and learn. I knew I was going to be challenged since BI is similar to excel, which isn’t a strength of mines as of yet, but I welcomed the challenge. I know mistakes happen and as we learn. I am still learning how to use the tool, but I am getting more comfortable with it.       I plan on using this skillset to assist with my record label, so I can excel and surpass my competitors. The Entertainment Business is a huge industry that is hard to break into but when you create your own business, you have to work twice as hard and advise why you’re different. The general public purchases products /services associated with a specific brand and each competitor wants to be ‘valued’ by the masses, so they can excel financially and longevity. For example, Larger companies release annual reports that advise all their company’s data/information; that data is observed/dissected by competitors, so they too can compete with their competitor. Everyone wants to rewrite a product/service that claims to be a newer, improved version of something that the masses can’t live without. This drives a demand which in short increases revenue.

This course made me realize our daily routines are monitored and we teach these companies how to reach us with our own data footprint. The data teach them when, where and how to market to us, and they in return sell our own ideas back to us. We are being researched and the craziest thing is we don’t pay it any attention. We download apps on our phones that give certain permissions to companies and they sell that data to other companies. We are literally being bought and purchased while also buying into our own ideas. As an author stated before, “knowledge is power”. (unknown)

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Process Modeling & Analysis Mastery Update

This month in my Process Modeling and Analysis (PMA) class, I gained a more in-depth understanding of sound business analysis and process improvement. 

My expectation was to gain an advanced knowledge of business intelligence systems appropriate for respective companies and industries

I am pleased that the PMA course has met this goal and more specifically enhanced my palette in the following areas:

 Apply proper use of business intelligence systems appropriate for respective companies or industries. 

 Explore DSS and key performance indicators (KPIs) further. 

 Improve current reporting and KPIs for recruiting and employee metrics through appropriate process modeling

My expectations were met and, in some ways, were exceeded while learning about different types of process models such as discrete-event simulation flow charts, Pricing Analysis and Decision Analysis. Interestingly I started a new job where I am responsible for establishing a reporting process that would make reporting client costs easier at a large corporation. In the third week, I saw first-hand how a process fails without a good model and how much more time and effort tasks can take as a result. I was also able to add more BI terms to my Mastery Glossary which will serve me long after graduation. 

Lastly, I look forward to not only use my newfound knowledge throughout the Business Intelligence program and in my professional life, but also to open my eyes to other opportunities where I can use process models to not only establish new processes but to also enhance existing models.

Looking forward to my next course, Business Intelligence Leadership and Communication. Onward and upward!

Reference:

Business Intelligence Master of Science (2017). In Full Sail University. Retrieved  February 27, 2019, from https://www.fullsail.edu/degrees/business-intelligence-master 

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Enterprise Data Management Mastery Journal Update

This course’s Mastery Reflection is listed below and is posted on my Tumblr at: http://richelledesirebusinessintel.tumblr.com

This month in my Enterprise Data Management class, I gained a more in-depth understanding of enterprise data management.

My expectation was to learn about database design and data models, and how to effectively communicate “complex technical information to a range of non-technical audiences” (Full Sail University, 2017).

I am pleased that the Enterprise Data Management course has met this goal and more specifically enhanced my palette in the following areas:

 Gain training on Knowledge Management Systems (KMS) and Supply Chain Management (SCM)  Gain knowledge on Decision Support Systems (DSS) and Enterprise Resource Planning (ERP)  Gain training on Knowledge Management Systems (KMS) and Supply Chain Management (SCM)  Strategies / Resources  Conduct analyses including cost analyses of BI Vendors  Learn more about ETL  Learn more about dimensional modeling and star and snowflake schemas

My expectations were met and, in some ways,, were exceeded while learning about Master Data and Metadata as well as data governance. I was also able to add more BI terms to my Mastery Glossary which will serve me long after graduation.

Lastly, I went ahead and purchased the ebook versions of the course textbooks because I found that they were both directly related to my tasks on the job. Having the electronic version on my phone means that I can access them anywhere, which is very convenient for me.

As I continue my journey, I will apply all that I have learned in Enterprise Data Management to my current and future positions in Business Intelligence.

Looking forward to my next course, Business Intelligence Technologies. Onward and upward!

Reference:

Business Intelligence Master of Science (2017). In Full Sail University. Retrieved  July 29, 2018, from https://www.fullsail.edu/degrees/business-intelligence-master

[richelledesirebusinessintel-blog]

INTENTION STATEMENT

Growing up in Dominica, a lush, untouched island in the Caribbean with a population of less than 100,000, reading was fundamental to my strict academic studies but also one of my favorite pastimes. I can still remember borrowing a book about data from my Primary School Library (Elementary School). Though I no longer remember the title or the author of the book, I still reflect on a phrase in the book that talked about turning data into information. That phrase piqued my curiosity as I later began to understand how effortlessly hard copy documents would transition to electronic documents. Now electronic, these documents were then retrieved as data to influence strategic decision making.

 Data influences so many of our choices today both at the company and consumer level. It would be unwise and financially irresponsible for an organization to develop and market products and services without some research. 

As the consumer, when searching for a product or service that we have not yet purchased before, a simple Google search can show us a wealth of options regarding quality, pricing, geographic limitations, and so much more data.

 Even doctors can ask their patients to track their illness, progress, and triggers in apps such as Migraine Buddy as stated by TechCrunch (2014).

 So, to put it simply, the world we live in today heavily relies on data in every industry. There is an increasing need for business intelligence teams to retrieve, analyze and present data for the economic benefit of organizations and consumers alike. And, anyone familiar with supply and demand will understand that this increasing need for business intelligence teams mean “endless upward mobility” for data roles as stated by D!gitalist Magazine (2015).

 Currently, I am enrolled in a Master of Science Business Intelligence degree program at Full Sail University where I am able to explore the structure of databases and use tools to manipulate data in a way that I may not have done during my career. My intention is to use a combination of experiential learning and technical academic knowledge to improve my data analyses, use alternate methods of reporting employee data for over 200,000 of my organization’s employees, and to eventually grow into a management position where I can lead a team of analysts who influence strategic decision-making.

 I am looking forward to the next 11 classes which will increase what I know now. The opportunities which will arise as a result of an additional Master’s Degree are more than I had ever imagined for myself and require diligence and devotion even after a long day at work.

 However, I am excited to embark on this journey of mastery! And, to ensure that I am not derailed, I am applying concepts from Robert Greene’s Mastery, which provides countless approaches for mastering one’s field.

 If you would like to find out more about my journey, feel free to also connect with me via LinkedIn.

 ©2017 Richelle Desire.

 References:

 1.    (2017). In Migraine Buddy. Retrieved November 5, 2017, from http://app.migrainebuddy.com

 2.    (2014). In TechCrunch. Retrieved November 5, 2017, from https://techcrunch.com/2014/07/29/migraine-buddy/

 3.    (2015). In D!gitalist Magazine. Retrieved November 5, 2017, from http://www.digitalistmag.com/future-of-work/2015/10/16/data-analysts-scientists-more-important-than-ever-03551480