#CRM Big Data

[blogpopular]

CRM Analítico: Como Transformar Dados em Estratégias de Sucesso

O CRM analítico é uma ferramenta essencial para empresas que buscam não apenas gerenciar suas interações com clientes, mas também analisar essas interações para tomar decisões estratégicas. Neste artigo, exploraremos detalhadamente o conceito de CRM analítico, seus benefícios, como implementá-lo e exemplos práticos de sua aplicação. O que é o CRM Analítico? O CRM analítico é um sistema que…

[phdwritingassistance]

Transform your business strategies with the power of AI, Big Data, and Automation! 🌐 Dive into how digital transformation is revolutionizing Customer Relationship Management (CRM) by enhancing customer loyalty and driving business agility. Discover how innovation is reshaping industries for a smarter tomorrow.

[jcmarchi]

Anthony Deighton, CEO of Tamr – Interview Series

New Post has been published on https://thedigitalinsider.com/anthony-deighton-ceo-of-tamr-interview-series/

Anthony Deighton, CEO of Tamr – Interview Series

Anthony Deighton is CEO of Tamr. He has 20 years of experience building and scaling enterprise software companies. Most recently, he spent two years as Chief Marketing Officer at Celonis, establishing their leadership in the Process Mining software category and creating demand generation programs resulting in 130% ARR growth. Prior to that, he served for 10+ years at Qlik growing it from an unknown Swedish software company to a public company — in roles from product leadership, product marketing and finally as CTO. He began his career at Siebel Systems learning how to build enterprise software companies in a variety of product roles.

Can you share some key milestones from your journey in the enterprise software industry, particularly your time at Qlik and Celonis?

I began my career in enterprise software at Siebel Systems and learned a lot about building and scaling enterprise software companies from the leadership team there. I joined Qlik when it was a small, unknown, Swedish software company with 95% of the small 60-person team located in Lund, Sweden. I joke that since I wasn’t an engineer or a salesperson, I was put in charge of marketing. I built the marketing team there, but over time my interest and contributions gravitated towards product management, and eventually I became Chief Product Officer. We took Qlik public in 2010, and we continued as a successful public company. After that, we wanted to do some acquisitions, so I started an M&A team. After a long and reasonably successful run as a public company, we eventually sold Qlik to a private equity firm named Thoma Bravo. It was, as I like to say, the full life cycle of an enterprise software company. After leaving Qlik, I joined Celonis, a small German software company trying to gain success selling in the U.S. Again, I ran marketing as the CMO. We grew very quickly and built a very successful global marketing function.

Both Celonis and Qlik were focused on the front end of the data analytics challenge – how do I see and understand data? In Qlik’s case, that was dashboards; in Celonis’ case it was business processes. But a common challenge across both was the data behind these visualizations.  Many customers complained that the data was wrong: duplicate records, incomplete records, missing silos of data. This is what attracted me to Tamr, where I felt that for the first time, we might be able to solve the challenge of messy enterprise data. The first 15 years of my enterprise software career was spent visualizing data, I hope that the next 15 can be spent cleaning that data up.

How did your early experiences shape your approach to building and scaling enterprise software companies?

One important lesson I learned in the shift from Siebel to Qlik was the power of simplicity.  Siebel was very powerful software, but it was killed in the market by Salesforce.com, which made a CRM with many fewer features (“a toy” Siebel used to call it), but customers could get it up and running quickly because it was delivered as a SaaS solution. It seems obvious today, but at the time the wisdom was that customers bought features, but what we learned is that customers invest in solutions to solve their business problems. So, if your software solves their problem faster, you win. Qlik was a simple solution to the data analytics problem, but it was radically simpler. As a result, we could beat more feature-rich competitors such as Business Objects and Cognos.

The second important lesson I learned was in my career transition from marketing to product.  We think of these domains as distinct. In my career I have found that I move fluidly between product and marketing. There is an intimate link between what product you build and how you describe it to potential customers. And there is an equally important link between what prospects demand and what product we should build. The ability to move between these conversations is a critical success factor for any enterprise software company. A common reason for a startup’s failure is believing “if you build it, they will come.” This is the common belief that if you just build cool software, people will line up to buy it. This never works, and the solution is a robust marketing process connected with your software development process.

The last idea I will share links my academic work with my professional work. I had the opportunity at business school to take a class about Clay Christensen’s theory of disruptive innovation. In my professional work, I have had the opportunity to experience both being the disruptor and being disrupted. The key lesson I��ve learned is that any disruptive innovation is a result of an exogenous platform shift that makes the impossible finally possible. In Qlik’s case it was the platform availability of large memory servers that allowed Qlik to disrupt traditional cube-based reporting. At Tamr, the platform availability of machine learning at scale allows us to disrupt manual rules-based MDM in favor of an AI-based approach. It’s important to always figure out what platform shift is driving your disruption.

What inspired the development of AI-native Master Data Management (MDM), and how does it differ from traditional MDM solutions?

The development of Tamr came out of academic work at MIT (Massachusetts Institute of Technology) around entity resolution. Under the academic leadership of Turing Award winner Michael Stonebraker, the question the team were investigating was “can we link data records across hundreds of thousands of sources and millions of records.” On the face of it, this is an insurmountable challenge because the more records and sources the more records each possible match needs to be compared to. Computer scientists call this an “n-squared problem” because the problem increases geometrically with scale.

Traditional MDM systems try to solve this problem with rules and large amounts of manual data curation. Rules don’t scale because you can never write enough rules to cover every corner case and managing thousands of rules is a technical impossibility. Manual curation is extremely expensive because it relies on humans to try to work through millions of possible records and comparisons. Taken together, this explains the poor market adoption of traditional MDM (Master Data Management) solutions. Frankly put, no one likes traditional MDM.

Tamr’s simple idea was to train an AI to do the work of source ingestion, record matching, and value resolution. The great thing about AI is that it doesn’t eat, sleep, or take vacation; it is also highly parallelizable, so it can take on huge volumes of data and churn away at making it better.  So, where MDM used to be impossible, it is finally possible to achieve clean, consolidated up-to-date data (see above).

What are the biggest challenges companies face with their data management, and how does Tamr address these issues?

The first, and arguably the most important challenge companies face in data management is that their business users don’t use the data they generate. Or said differently, if data teams don’t produce high-quality data that their organizations use to answer analytical questions or streamline business processes, then they’re wasting time and money. A primary output of Tamr is a 360 page for every entity record (think: customer, product, part, etc.) that combines all the underlying 1st and 3rd party data so business users can see and provide feedback on the data.  Like a wiki for your entity data. This 360 page is also the input to a conversational interface that allows business users to ask and answer questions with the data. So, job one is to give the user the data.

Why is it so hard for companies to give users data they love? Because there are three primary hard problems underlying that goal: loading a new source, matching the new records into the existing data, and fixing the values/fields in data. Tamr makes it easy to load new sources of data because its AI automatically maps new fields into a defined entity schema. This means that regardless of what a new data source calls a particular field (example: cust_name) it gets mapped to the right central definition of that entity (example: “customer name”). The next challenge is to link records which are duplicates. Duplication in this context means that the records are, in fact, the same real-world entity. Tamr’s AI does this, and even uses external 3rd party sources as “ground truth” to resolve common entities such as companies and people. A good example of this would be linking all the records across many sources for an important customer such as “Dell Computer.”  Lastly, for any given record there may be fields which are blank or incorrect. Tamr can impute the correct field values from internal and 3rd party sources.

Can you share a success story where Tamr significantly improved a company’s data management and business outcomes?

CHG Healthcare is a major player in the healthcare staffing industry, connecting skilled healthcare professionals with facilities in need. Whether it’s temporary doctors through Locums, nurses with RNnetwork, or broader solutions through CHG itself, they provide customized staffing solutions to help healthcare facilities run smoothly and deliver quality care to patients.

Their fundamental value proposition is connecting the right healthcare providers with the right facility at the right time. Their challenge was that they didn’t have an accurate, unified view of all the providers in their network. Given their scale (7.5M+ providers), it was impossible to keep their data accurate with legacy, rules-driven approaches without breaking the bank on human curators. They also couldn’t ignore the problem since their staffing decisions depended on it. Bad data for them could mean a provider gets more shifts than they can handle, leading to burnout.

Using Tamr’s advanced AI/ML capabilities, CHG Healthcare reduced duplicate physician records by 45% and almost completely eliminated the manual data preparation that was being done by scarce data & analytics resources. And most importantly, by having a trusted and accurate view of providers, CHG is able to optimize staffing, enabling them to deliver a better customer experience.

What are some common misconceptions about AI in data management, and how does Tamr help dispel these myths?

A common misconception is that AI has to be “perfect”, or that rules and human curation are perfect in contrast to AI. The reality is that rules fail all the time. And, more importantly, when rules fail, the only solution is more rules. So, you have an unmanageable mess of rules.  And human curation is fallible as well. Humans might have good intentions (although not always), but they’re not always right. What’s worse, some human curators are better than others, or simply might make different decisions than others. AI, in contrast, is probabilistic by nature. We can validate through statistics how accurate any of these techniques are, and when we do we find that AI is less expensive and more accurate than any competing alternative.

Tamr combines AI with human refinement for data accuracy. Can you elaborate on how this combination works in practice?

Humans provide something exceptionally important to AI – they provide the training. AI is really about scaling human efforts. What Tamr looks to humans for is the small number of examples (“training labels”) that the machine can use to set the model parameters. In practice what this looks like is humans spend a small amount of time with the data, giving Tamr examples of errors and mistakes in the data, and the AI runs those lessons across the full data set(s). In addition, as new data is added, or data changes, the AI can surface instances where it is struggling to confidently make decisions (“low confidence matches”) and ask the human for input. This input, of course, goes to refine and update the models.

What role do large language models (LLMs) play in Tamr’s data quality and enrichment processes?

First, it’s important to be clear about what LLMs are good at. Fundamentally, LLMs are about language. They produce strings of text which mean something, and they can “understand” the meaning of text that’s handed to them. So, you could say that they are language machines. So for Tamr, where language is important, we use LLMs. One obvious example is in our conversational interface which sits on top of our entity data which we affectionately call our virtual CDO. When you speak to your real-life CDO they understand you and they respond using language you understand. This is exactly what we’d expect from an LLM, and that is exactly how we use it in that part of our software. What’s valuable about Tamr in this context is that we use the entity data as context for the conversation with our vCDO. It’s like your real-life CDO has ALL your BEST enterprise data at their fingertips when they respond to your questions – wouldn’t that be great!

In addition, there are instances where in cleaning data values or imputing missing values, where we want to use a language-based interpretation of input values to find or fix a missing value.  For example, you might ask from the text “5mm ball bearing” what is the size of the part, and an LLM (or a person) would correctly answer “5mm.”

Lastly, underlying LLMs are embedding models which encode language meaning to tokens (think words). These can be very useful for calculating linguistic comparison. So, while “5” and “five” share no characters in common, they are very close in linguistic meaning. So, we can use this information to link records together.

How do you see the future of data management evolving, especially with advancements in AI and machine learning?

The “Big Data” era of the early 2000s should be remembered as the “Small Data” era. While a lot of data has been created over the past 20+ years, enabled by the commoditization of storage and compute, the majority of data that has had an impact in the enterprise is relatively small scale — basic sales & customer reports, marketing analytics, and other datasets that could easily be depicted in a dashboard. The result is that many of the tools and processes used in data management are optimized for ‘small data’, which is why rules-based logic, supplemented with human curation, is still so prominent in data management.

The way people want to use data is fundamentally changing with advancements in AI and machine learning. The idea of “AI agents” that can autonomously perform a significant portion of a person’s job only works if the agents have the data they need. If you’re expecting an AI agent to serve on the frontlines of customer support, but you have five representations of “Dell Computer” in your CRM and it’s not connected with product information in your ERP, how can you expect them to deliver high-quality service when someone from Dell reaches out?

The implication of this is that our data management tooling and processes will need to evolve to handle scale, which means embracing AI and machine learning to automate more data cleaning activities. Humans will still play a big role in overseeing the process, but fundamentally we need to ask the machines to do more so that it’s not just the data in a single dashboard that is accurate and complete, but it’s the majority of data in the enterprise.

What are the biggest opportunities for businesses today when it comes to leveraging their data more effectively?

Increasing the number of ways that people can consume data. There’s no question that improvements in data visualization tools have made data much more accessible throughout the enterprise. Now, data and analytics leaders need to look beyond the dashboard for ways to deliver value with data. Interfaces like internal 360 pages, knowledge graphs, and conversational assistants are being enabled by new technologies, and give potential data consumers more ways to use data in their day-to-day workflow. It’s particularly powerful when these are embedded in the systems that people already use, such as CRMs and ERPs. The fastest way to create more value from data is by bringing the data to the people who can use it.

Thank you for the great interview, readers who wish to learn more should visit Tamr.

[punk-pins]

fundamentally you need to understand that the internet-scraping text generative AI (like ChatGPT) is not the point of the AI tech boom. the only way people are making money off that is through making nonsense articles that have great search engine optimization. essentially they make a webpage that’s worded perfectly to show up as the top result on google, which generates clicks, which generates ads. text generative ai is basically a machine that creates a host page for ad space right now.

and yeah, that sucks. but I don’t think the commercialized internet is ever going away, so here we are. tbh, I think finding information on the internet, in books, or through anything is a skill that requires critical thinking and cross checking your sources. people printed bullshit in books before the internet was ever invented. misinformation is never going away. I don’t think text generative AI is going to really change the landscape that much on misinformation because people are becoming educated about it. the text generative AI isn’t a genius supercomputer, but rather a time-saving tool to get a head start on identifying key points of information to further research.

anyway. the point of the AI tech boom is leveraging big data to improve customer relationship management (CRM) to streamline manufacturing. businesses collect a ridiculous amount of data from your internet browsing and purchases, but much of that data is stored in different places with different access points. where you make money with AI isn’t in the Wild West internet, it’s in a structured environment where you know the data its scraping is accurate. companies like nvidia are getting huge because along with the new computer chips, they sell a customizable ecosystem along with it.

so let’s say you spent 10 minutes browsing a clothing retailer’s website. you navigated directly to the clothing > pants tab and filtered for black pants only. you added one pair of pants to your cart, and then spent your last minute or two browsing some shirts. you check out with just the pants, spending $40. you select standard shipping.

with AI for CRM, that company can SIGNIFICANTLY more easily analyze information about that sale. maybe the website developers see the time you spent on the site, but only the warehouse knows your shipping preferences, and sales audit knows the amount you spent, but they can’t see what color pants you bought. whereas a person would have to connect a HUGE amount of data to compile EVERY customer’s preferences across all of these things, AI can do it easily.

this allows the company to make better broad decisions, like what clothing lines to renew, in which colors, and in what quantities. but it ALSO allows them to better customize their advertising directly to you. through your browsing, they can use AI to fill a pre-made template with products you specifically may be interested in, and email it directly to you. the money is in cutting waste through better manufacturing decisions, CRM on an individual and large advertising scale, and reducing the need for human labor to collect all this information manually.

(also, AI is great for developing new computer code. where a developer would have to trawl for hours on GitHUB to find some sample code to mess with to try to solve a problem, the AI can spit out 10 possible solutions to play around with. thats big, but not the point right now.)

so I think it’s concerning how many people are sooo focused on ChatGPT as the face of AI when it’s the least profitable thing out there rn. there is money in the CRM and the manufacturing and reduced labor. corporations WILL develop the technology for those profits. frankly I think the bigger concern is how AI will affect big data in a government ecosystem. internet surveillance is real in the sense that everything you do on the internet is stored in little bits of information across a million different places. AI will significantly impact the government’s ability to scrape and compile information across the internet without having to slog through mountains of junk data.

[gowns]

stupid little discount tricks, since people are asking

when shopping online: sign up for the email newsletter. there's usually a signup discount code for 5-15% off. (you can unsubscribe later)

search "website" + "discount code" "coupon code" etc

have a credit card plug in like the one i have that automatically searches for coupon codes

fill your shopping cart then "abandon it" and you might get an email offering you a discount

check social media, because every once in a while a company will advertise a sale or code on an instagram graphic and nowhere else.

keep track of when companies do their seasonal sales and the amounts (kind of playing the long game here). but for instance, when hanna andersson was having a 20% off sale a couple months ago i held off because i knew there was a 40% spring sale coming up. at the end of every season, they do big sales to try to offload things to make room for the new season's inventory.

search for items on reselling sites e.g. poshmark, ebay, etc, and watch the prices and how they compare to retail. depending on the item you may also want to scope out craigslist, fb marketplace. you know that 40% off hanna andersson sale i mentioned? it still won't be as dirt cheap as finding those clothes on facebook.

you know the junk mail you get? that also has coupons... you can play the long game here with some "extreme couponing," comparing the different discounts that come out from different stores at different times.

never buy anything full price, unless it's urgent or some kind of everyday purchase

(this one i learned from my bastard stepfather, it's not great for retail workers but you will usually get a discount): when shopping in person, find a dumb little flaw in an item then bring it up to the cashier and be like "oh there's a button missing (or what have you) can i have a discount?" usually the retail workers are like "ughhhh horrible little man. sure. have a discount." this does not always work and fills me with shame whenever i do it but when it does work. hey. discount!

if you combine all these things you will find yourself never paying full price for anything. discounts forever.

more saving money tricks:

join your local buy nothing group - this is a facebook thing but they're also trying to build up the website. post an "ISO" (in search of) whatever you need and you'd be surprised at what you can find. we got a lot of our furniture and rugs from the buy nothing group when we moved. for freeeeee

(this one sounds like an ad but it's not i just like my service:) to save on your phone bill, use a service like twigby, which will buy out your phone contract and then you pay a discount for the same cell plan / cell towers. i pay only $25 a month for a lot of data and texts. i used to pay like $100 a month for the same. i've had it for years now, nothing shady about it.

keep receipts for everything, you can return most things. if the return policy is strict, begging and pleading works sometimes.

speaking of begging and pleading. you guys know about like, gym memberships and dance classes? i used to do customer service for a ballet studio that used a popular fitness CRM. if people emailed me like "hey my classes expired, can you please put them back :(" i would do it. it's very easy to do it - i'd just go into their account and adjust it. so like, imagine: people who didn't email customer service would just have expired classes. people who DID email me with a sad email like "hey my classes expired can you help :(" would usually get extended classes, refunds, trades for comparable services, etc.

remember all the secondhand sites mentioned above? whatever you buy, you can later resell. it takes a little bit of time to take pictures and write out the details in the reselling posts, but if you're hurting for money it's not a bad way to get $. people will buy random things. computer parts. old video games. furniture. clothes and shoes are very easy to resell on a site like poshmark or depop, but you can also search facebook for certain clothing brands and find B/S/T (buy sell trade) groups. also search for your town + "swap meet" / "classifieds" "resell" / "buy sell trade" etc groups.

(another tip from the bastard stepdad, i do not fully endorse this but hey, it works in times of desperation): to maximize value at a restaurant, you can take things that are out on the table, like sugar, pepper, jam, etc. if you want to get real silly about this you take advantage of free bread / free chips by scooping them all into a tote bag. (i was rattled with shame when my stepdad did this when i was younger but you know what. it's a thing you can do.)

grocery-specific tips:

always look at the number next to the retail price, with the unit price. you want the cheaper unit price 95% of the time. it only doesn't make sense to buy the cheaper unit price when you're buying something for a really limited use. look around the item for similar items and make sure you're getting the best value. this was drilled into me at a young age but not everyone knows about this

always scope out the corners of a grocery store, they usually have a rack of discounted / about to expire food that is usually fine.

there is also dumpster diving which is also usually fine. i don't have too many tips about this because it's not my forte but the tips are out there; when grocery stores are closing they want to just get rid of stuff. so take advantage. weird tip here: go to a farmer's market when they're about to close. a lot of the purveyors just want to go home and will totally sell you their stuff at a cheaper rate so they can pack less into their truck. this works especially well for bread products at the farmer's market because they won't be able to sell day-old bread at the next day's farmer's market.

when you're living high on the hog from all your discounts, make sure you give freely in return. i donate food to food pantries and community fridges; i give away stuff on my buy nothing group + shelters; i put books in the free little libraries; etc.

[accountsend]

Scaling Up: Strategies for Navigating Business Development in a Time of Rapid Growth

Article by Jonathan Bomser | CEO | AccountSend.com

Imagine your business as a ship embarking on an exciting voyage across uncharted waters. The journey from a small enterprise to a thriving powerhouse is exhilarating, but it comes with its own set of unique challenges. As you sail through the tumultuous tides of rapid growth, how do you navigate this transformation with finesse? In this comprehensive guide, we'll delve into seven practical strategies that will serve as your guiding stars, leading your B2B business development efforts through the intricate dance of rapid expansion.

Download the infographic here!

Embrace Technological Advancements: Empowerment through Efficiency and Insight

In today's digital landscape, embracing technological advancements isn't just an option; it's a strategic imperative for businesses on the path to growth. Imagine freeing your team from the shackles of repetitive tasks by harnessing cutting-edge tools. Visualize a scenario where automation breathes life into efficiency, allowing your workforce to focus on strategic initiatives that drive innovation and propel your business forward.

But the technological realm offers even more. Dive into the realm of big data, where hidden treasures of actionable insights await. By deciphering patterns and trends, you're equipped to make informed decisions that steer your ship towards prosperous horizons. The integration of Customer Relationship Management (CRM) systems isn't just a technical feat; it's a game-changer that transforms how you manage your sales pipeline. Seamlessly synchronized data empowers you to anticipate needs, tailor strategies, and fuel growth.

Strengthen Your Team: The Foundation of Sustainable Expansion

As your business evolves, so must your team. Picture your team as architects, constructing the future of your enterprise. Beyond skills, focus on nurturing a team that thrives in the face of change, a team capable of embracing challenges and growing with your business.

Investing in your team is an investment in your business's future. Imagine providing them with the tools and knowledge to tackle evolving demands. As they acquire new skills and insights, their collective potential becomes a force to be reckoned with, ready to champion your business's ascent to new heights.

Deepen Customer Relationships: Nurturing Bonds Beyond Transactions

The heartbeat of your business is your customers. While the allure of acquiring new clients is undeniable, the value of nurturing existing relationships cannot be overstated. Imagine building relationships that transcend transactions, turning customers into brand advocates.

Engage in a symphony of regular interactions, value addition, and meaningful feedback loops. The art of customer retention goes beyond satisfaction; it's about building emotional connections that result in loyal partnerships. A satisfied customer not only stays but becomes a beacon of positive referrals and influential reviews, guiding others to your doorstep.

Expand Into New Markets: A Voyage into Uncharted Territories

Expanding into new markets is akin to a thrilling expedition, a journey that promises new vistas and untapped potential. However, such an endeavor requires strategic planning and market intelligence. Visualize comprehensive market research as your compass, leading you to identify opportunities that align with your offerings.

Adaptation is key in uncharted waters. Tailor your products and services to resonate with the unique demands of these new markets. As you set sail, you're not just expanding geographically; you're weaving your brand into new narratives, positioning yourself as a valuable player in diverse landscapes.

Develop Strategic Partnerships: The Catalyst for Amplified Growth

Partnerships aren't just alliances; they are the accelerants that propel growth. Imagine uniting with entities whose strengths complement your own. Picture collaborations that broaden your reach, amplify your impact, and open doors to unexplored avenues.

Cultivate these partnerships as you would a thriving garden. Nurture them, and watch as they evolve into fertile ground for mutual growth. Through collaboration, you tap into networks that wouldn't have been accessible individually, unlocking a realm of new possibilities.

Invest in Your Brand: Crafting an Identity that Evolves

As your business expands, your brand should evolve too. Think of your brand as a living entity, adapting to the ever-changing marketplace. It's more than just aesthetics; it's about creating an experience that resonates with your audience.

Investment in your brand is an investment in your business's perception. Imagine refining your branding materials to mirror your growth journey. Enhance your digital footprint, creating an online presence that captures your brand's essence. Launch targeted campaigns that evoke emotions and build connections. Your brand isn't just a logo; it's the embodiment of your commitment to excellence and innovation.

Regularly Review and Adapt Your Strategy: The Symphony of Agility

In the dynamic realm of business growth, stagnation is the adversary. What propelled you to success yesterday might hinder you today. Regularly reviewing your strategy isn't a choice; it's an imperative.

Imagine your strategy as a living organism, evolving in response to the shifting environment. Regular recalibration ensures you stay nimble and responsive, enabling you to pivot seamlessly in response to changing market dynamics, customer preferences, and emerging trends.

Conclusion: Crafting Your Growth Odyssey

Scaling your business isn't just about getting bigger; it's about getting better. Each strategy we've explored is a thread in the tapestry of your growth journey. These strategies, fortified by the potency of verified B2B emails and sales leads, become your compass in this uncharted territory.

As you embark on this transformative voyage, remember that growth is an art—a symphony of strategy, innovation, and adaptation. These strategies are your notes, harmonizing to guide you to success. Equipped with verified B2B emails and sales leads, you're ready to navigate the complexities of scaling with confidence. Seize the helm of your growth story, and watch as your business unfurls its sails, navigating towards a horizon brimming with achievements, inspiring others to set sail on their growth odyssey.

[roseliejack123]

Java's Lasting Impact: A Deep Dive into Its Wide Range of Applications

Java programming stands as a towering pillar in the world of software development, known for its versatility, robustness, and extensive range of applications. Since its inception, Java has played a pivotal role in shaping the technology landscape. In this comprehensive guide, we will delve into the multifaceted world of Java programming, examining its wide-ranging applications, discussing its significance, and highlighting how ACTE Technologies can be your guiding light in mastering this dynamic language.

The Versatility of Java Programming:

Java programming is synonymous with adaptability. It's a language that transcends boundaries and finds applications across diverse domains. Here are some of the key areas where Java's versatility shines:

1. Web Development: Java has long been a favorite choice for web developers. Robust and scalable, it powers dynamic web applications, allowing developers to create interactive and feature-rich websites. Java-based web frameworks like Spring and JavaServer Faces (JSF) simplify the development of complex web applications.

2. Mobile App Development: The most widely used mobile operating system in the world, Android, mainly relies on Java for app development. Java's "write once, run anywhere" capability makes it an ideal choice for creating Android applications that run seamlessly on a wide range of devices.

3. Desktop Applications: Java's Swing and JavaFX libraries enable developers to craft cross-platform desktop applications with sophisticated graphical user interfaces (GUIs). This cross-platform compatibility ensures that your applications work on Windows, macOS, and Linux.

4. Enterprise Software: Java's strengths in scalability, security, and performance make it a preferred choice for developing enterprise-level applications. Customer Relationship Management (CRM) systems, Enterprise Resource Planning (ERP) software, and supply chain management solutions often rely on Java to deliver reliability and efficiency.

5. Game Development: Java isn't limited to business applications; it's also a contender in the world of gaming. Game developers use Java, along with libraries like LibGDX, to create both 2D and 3D games. The language's versatility allows game developers to target various platforms.

6. Big Data and Analytics: Java plays a significant role in the big data ecosystem. Popular frameworks like Apache Hadoop and Apache Spark utilize Java for processing and analyzing massive datasets. Its performance capabilities make it a natural fit for data-intensive tasks.

7. Internet of Things (IoT): Java's ability to run on embedded devices positions it well for IoT development. It is used to build applications for smart homes, wearable devices, and industrial automation systems, connecting the physical world to the digital realm.

8. Scientific and Research Applications: In scientific computing and research projects, Java's performance and libraries for data analysis make it a valuable tool. Researchers leverage Java to process and analyze data, simulate complex systems, and conduct experiments.

9. Cloud Computing: Java is a popular choice for building cloud-native applications and microservices. It is compatible with cloud platforms such as AWS, Azure, and Google Cloud, making it integral to cloud computing's growth.

Why Java Programming Matters:

Java programming's enduring significance in the tech industry can be attributed to several compelling reasons:

Platform Independence: Java's "write once, run anywhere" philosophy allows code to be executed on different platforms without modification. This portability enhances its versatility and cost-effectiveness.

Strong Ecosystem: Java boasts a rich ecosystem of libraries, frameworks, and tools that expedite development and provide solutions to a wide range of challenges. Developers can leverage these resources to streamline their projects.

Security: Java places a strong emphasis on security. Features like sandboxing and automatic memory management enhance the language's security profile, making it a reliable choice for building secure applications.

Community Support: Java enjoys the support of a vibrant and dedicated community of developers. This community actively contributes to its growth, ensuring that Java remains relevant, up-to-date, and in line with industry trends.

Job Opportunities: Proficiency in Java programming opens doors to a myriad of job opportunities in software development. It's a skill that is in high demand, making it a valuable asset in the tech job market.

Java programming is a dynamic and versatile language that finds applications in web and mobile development, enterprise software, IoT, big data, cloud computing, and much more. Its enduring relevance and the multitude of opportunities it offers in the tech industry make it a valuable asset in a developer's toolkit.

As you embark on your journey to master Java programming, consider ACTE Technologies as your trusted partner. Their comprehensive training programs, expert guidance, and hands-on experiences will equip you with the skills and knowledge needed to excel in the world of Java development.

Unlock the full potential of Java programming and propel your career to new heights with ACTE Technologies. Whether you're a novice or an experienced developer, there's always more to discover in the world of Java. Start your training journey today and be at the forefront of innovation and technology with Java programming.

[salesforce-blog]

What are Big Objects? And how is it solving the age-old Salesforce data storage problem?

When Marc Benioff started Salesforce back in 1999, it was a typical CRM solution which could automate the sales process. Today, after almost two decades, Salesforce has become the world’s #1 CRM provider & offers a gamut of other cloud solutions. Innovation with the time and market adaptability has made Salesforce the market leader. They kept on adding new products and solutions along with their key acquisitions. Today if you see Salesforce’s gamut of offerings, they have got all the solutions which can help any business thrive by optimizing key business verticals and reducing operational costs. Read More

[skilltech9]

Importance of Digital Marketing for Small and Large Businesses

1. Cost-Effective

Once upon a time marketing been considered as luxury, because of its conventional nature. The cost for one billboard or distributing samples was high, commodity, not every business could go. Nonetheless, digital mediums have enabled all types of businesses with varied budgets or indeed not budgets, to request their brand on one steady platform.

Digital marketing sweats bear slightly any original investment. This is great for small businesses. Utmost digital marketing tools offer introductory features free of cost. It's over to the businesses to make the swish use of them.

2. High Reach

A simple rule of branding- go wherever your cult is. While understanding the significance of digital marketing, know that maturity of your cult is online. Hence, marketing online will increase your reach.

With digital marketing, the reach is global. Hence, you can take orders for your product or service from each over the world and it need not be limited to one area. And when you go global, you can still niche your cult to named individualities. Thus, it’s a win- win.

3. Brand awareness

Putting your brand out there on quest machines like Google, Bing, Yahoo, etc and social media platforms analogous as Instagram, Twitter, Quora, Facebook, etc will earn you an online character that the entire world can see.

Digital marketing helps you produce awareness of your brand and its USP( Unique Selling Proposition). If a customer has no awareness of your brand also he can't make a conversion. To attack this, brand visibility is extremely important. With pay- per- click and other kinds of paid elevations, you can really attract guests to your small business. We recommend this Facebook and Instagram Advertisements online course to understand some farther.

4. Erecting a customer Base

Another reason is that you can't keep a record for every person that walks in your shop or every customer who might not like your product. CRM and remarketing ways help make customer bases.

The challenge with small businesses is that one needs to make a customer base. This is predicated on erecting a fellowship with a strong customer relationship. With CRM tools analogous as Hub Spot and Oracle, you can manage this easily.

They need to retain being businesses and concentrate on brand character, client retention, and the growth of the business.

5. Brand Image

An established company’s image is everything. The right marketing strategies can have a profound impact on your company's brand image. Through digital marketing, effective campaigns can be designed and the compass of fixing any glitches directly is there.

Brand image is crucial for every brand and with digital marketing, you will know about both positive and negative reviews.

6. Measurable Results

With digital marketing, companies can have real time analytics regarding results, growth etc. With this, they can anatomize the effectiveness of the campaign and accordingly formulate strategies. Moment, the significance of assaying data is truly important to estimate the effectiveness and success of your campaigns.

The significance of digital marketing is majorly related to the fact that results and criteria are measurable.

7. Increase in ROI

With digital marketing, returns can be suddenly high if your campaigns are on the right track. Companies can increase their profit with digital media by investing in announcements and thus, adding metamorphoses.

The investment in digital media is important lower than in traditional media and the returns are also advanced. Did you know? You can run announcements on certain digital platforms for as low as 1$.

8. Retaining pious guests

The main thing of digital marketing for big businesses piecemeal from adding their business is icing that their customer base is pious and satisfied.

These are reasons enough to indicate that the significance of digital marketing for businesses is vital and thus, you must consider espousing it for your business. A smart and affect- predicated option would be to go for digital marketing marketable training.

[blogpopular]

Análise de Dados de Marketing: A Chave para Decisões Estratégicas Eficazes

A análise de dados de marketing se tornou uma ferramenta essencial no ambiente empresarial moderno. Com o crescimento das plataformas digitais e o aumento da concorrência em todos os setores, as empresas precisam de insights precisos para se destacar. Através da coleta, interpretação e aplicação de dados, a análise de dados de marketing permite que empresas tomem decisões estratégicas baseadas em…

[designlabpune]

From Data to Dollars - Navigating the Marketing Landscape with Our Agency

In today's hyper-competitive business landscape, marketing has evolved into a data-driven science more than ever. Every digital footprint, every click, every social media interaction generates a wealth of information that savvy marketers can use to drive results. As a leading marketing agency, we understand the transformative power of data, and we are here to guide you in the journey from data to dollars.

Data Revolution in Marketing

Marketing used to rely heavily on intuition and creativity. While these elements still play an important role, they are now based on a deeper understanding of the data. The digital age has ushered in an abundance of information that can be used to create highly targeted and effective marketing campaigns.

Rise of Big Data

Big data has become the backbone of modern marketing. The term refers to the vast amounts of structured and unstructured data generated every day. This includes customer interactions on websites, social media posts, emails, and more. Using this data can provide valuable insights into customer behaviour and preferences.

Marketing Automation

Marketing automation tools have made it easier than ever to collect, analyze, and act on data. These tools enable businesses to streamline their marketing efforts, sending personalized messages to the right audience at the right time.

Personalization and Customer Journey Mapping

Data allows marketers to create highly personalized experiences for customers. By understanding the customer journey, from awareness to conversion, marketers can optimize their messaging and content at each stage, increasing the likelihood of conversion.

Our Data-Driven Approach

At our agency, data is at the core of everything we do. We have developed a comprehensive approach that takes clients from data analysis to actionable insights and ultimately to increased revenue.

Data Collection

The first step in our process is data collection. We work with our clients to identify all available data sources, from website analytics to CRM systems. We ensure that data is collected in a structured and systematic manner to facilitate analysis.

Data Analysis

Once the data is collected, our team of data analysts gets to work. We use advanced analytics techniques to uncover hidden insights like customer segmentation, purchasing patterns and conversion funnels.

Strategy Development

With a deep understanding of data, we develop data-driven marketing strategies tailored to each client's goals. This strategy involves specific tactics and campaigns designed to drive results.

Execution

Once the strategy is created, our marketing team executes the campaigns. We use marketing automation tools to deliver personalized messages to the right audience at the right time. Our team constantly monitors and adjusts campaigns to ensure they are delivering the desired results.

Measurement and Optimization

The data doesn't stop at the implementation stage. We continue to collect and analyze data throughout the campaign lifecycle. This allows us to make adjustments in real-time to optimize performance and maximize ROI.

Case Study: How Data Driven Dollars

To illustrate the power of our data-driven approach, let's take a look at a real-world case study.

Customer Background

Our client, a medium-sized e-commerce retailer, was struggling to compete in a crowded marketplace. They had a loyal customer base but were looking to expand their reach and increase revenue.

Data Analysis

We started by analyzing existing customer data. This included website traffic, customer purchase history, and email marketing performance. Our analysis revealed several key insights:

Customer Segmentation: We identified different customer segments based on their purchasing behaviour and demographics.

Abandoned Carts: We discovered a high rate of abandoned shopping carts on the website.

Email Engagement: We found that some email campaigns were performing better than others in terms of click-through and conversion rates.

Strategy Development

Armed with these insights, we developed a data-driven strategy:

Customer Segmentation: We created highly targeted email campaigns for each customer segment, tailoring product recommendations and messages to their preferences.

Cart Recovery: We've implemented an automated cart recovery email series to remind customers of their abandoned carts and encourage them to complete their purchase.

Email Optimization: We optimized email content and timing based on our data analysis, increasing engagement and conversion rates.

Execution

We executed the strategy for several months, continuously monitoring performance and making adjustments based on real-time data.

Result

The results were impressive:

Revenue Growth: The client saw a 30% increase in revenue during the campaign.

Cart Recovery: The cart recovery email series led to a 20% reduction in abandoned carts and a 15% increase in cart conversions.

Email Engagement: Email engagement rates improved by 25%, which increased conversion rates.

This case study explains how data can be leveraged to achieve tangible results. By understanding customer behaviour and tailoring marketing efforts accordingly, our agency was able to convert data into dollars for our client.

Importance of Data Privacy

Although data is a powerful tool in marketing, it must be handled responsibly. Data privacy is an important issue, with consumers concerned about how their data is collected and used.

Compliance With Regulations

Our agency takes data privacy seriously and ensures compliance with all relevant regulations such as GDPR and CCPA. We work closely with our customers to establish transparent data collection and use policies.

Ethical Data Use

Ethical data use is not just a legal requirement; It is also a moral imperative. We are committed to using data in ways that respect the privacy and rights of individuals.

Transparency With Customers

We believe in transparency with customers regarding data collection and use. Building trust is essential in today's digital age, and being open about data practices is an important step in that direction.

The Future of Data-Driven Marketing

The world of data-driven marketing is constantly evolving. As technology advances and consumer behaviour changes, marketers must adapt and innovate to stay ahead. Here are some of the key trends shaping the future of data-driven marketing:

Artificial Intelligence and Machine Learning

AI and machine learning are revolutionizing marketing. These technologies can analyze large amounts of data in real time, making more accurate predictions and personalized marketing efforts possible.

Predictive Analytics

Predictive analytics uses historical data to predict future trends and behaviours. This allows marketers to be proactive rather than reactive and adapt their strategies based on predictive insights.

Customer Experience

Customer experience is becoming the central focus of data-driven marketing. By understanding every touchpoint in the customer journey, marketers can create seamless and personalized experiences that drive loyalty and revenue.

Privacy-First Marketing

As concerns about data privacy grow, marketers will need to adopt a privacy-first approach. This means giving consumers more control over their data and being transparent about how it is used.

Integration of Offline and Online Data

The lines between offline and online data are blurring. Marketers will need to integrate data from both sources to create a holistic view of the customer.

Conclusion

In today's marketing landscape, data is the currency that drives success. From understanding customer behaviour to optimizing campaigns in real-time, data is at the heart of everything we do at our agency. We've seen firsthand how data can be turned into dollars, and we're committed to helping our clients navigate the data-driven marketing landscape to achieve their goals. If you're ready to harness the power of data and take your marketing efforts to the next level, contact us today. Together, we will turn data into dollars and propel your business into the digital age.

[ratboydipshit]

client took 3 weeks to put together the client list they wanted to get imported to their crm and i was like "send me the raw stuff and i'll do the data entry too it'll be easier" and they say "nooo im good at excel i'll do it and get it to you asap". just got the document yesterday and its frankly fucked. i cant import this shit as-is and the degree of fucked-ness is so severe that i'm having to basically cell-by-cell recreate it with proper organization. i have a big secondary table called "special handling" and its just literally all the ones that are either missing info or too stinky to parse with a functioning human brain

[etceterabd]

THE 6 FREE MARKETING TOOLS EVERY MARKETER NEEDS TO USE

Are you aware of the top marketing tools out there that not only help you get your job done better, but are completely FREE? There are a number of excellent free marketing tools, and we’ve compiled some of the top in the categories that help you master your marketing. Whether you add all or a few to your marketing toolbox, you’ll reap the benefits of these resources right away and work smarter, not harder.

Project Management: Trello

Lead Generation: Hubspot

Design: Canva

Content: Answer the Public

SEO: Google Free Business Profile and Google Analytics

Social Media Management: Buffer

PROJECT MANAGEMENT: TRELLO

This highly visual organization tool is a master at project management. It lays everything out intuitively on “boards” reminiscent of an old-school desk blotter and designed to manage projects, workflows, and tasks, from the big picture down to the finest detail. With the free version of Trello, you can create unlimited boards that contain a project or process, lists encompassing all tasks and divided into “To Do,” “Doing,” and “Done” (or your own custom process), and smaller, movable “cards” with the information you need to accomplish these tasks, tied to deadlines and assigned doers. 

Trello helps you boost your productivity. It keeps everyone moving, with spaces to comment on the cards, and add files and checklists. It also integrates with Slack, Dropbox, Outlook, Gmail, Salesforce, and more, with “power-ups,” or plug-ins, that expand your capabilities. The free version gets you unlimited cards, built-in automation, due dates, mobile and desktop apps, unlimited activity logs, templates, and unlimited power-ups. Then if you find you’re needing more, it’s a reasonable jump in monthly rate for more robust options.

LEAD GENERATION: HUBSPOT

Hubspot is known for many things to many marketers. It’s a robust CRM platform with highly effective marketing, sales, and service tools. The software is king at lead generation. It helps marketers attract potential visitors and leads through inbound marketing, ushering them through the buyer’s journey, and converting them into customers. 

While HubSpot’s capabilities are wide-ranging and complex, you can take advantage of its CRM tools in a free suite that includes email marketing, live chat, forms, pop-ups, ads, landing pages, reports, and more. This version has some very helpful features; marketers can add more information about incoming leads with data gleaned from the internet, populating charts with social profiles, job titles, where they came from online, and what they viewed before they filled out their form. You’ll be able to track these potential customers when they return to your site as well, and since each action is mapped, you can track timing too. The free version of HubSpot also provides analytics so you know which of your pages, offers, and traffic sources are pulling the highest conversions. You’ll see the number of visits before customers buy and identify other trends in site navigation so you can optimize your site. 

Hubspot also offers paid subscriptions, but these free capabilities are highly effective, so you can always add on later if you’d like:

DESIGN: CANVA

In the way that self-publishing content through social media has revolutionized the media industry, Canva has similarly given people a free platform with which to create beautiful brochures, business cards, banners, infographics, cards, logos, designs for promotional items, social media images, posters, newsletters, videos and so much more. Started in 2013, the platform offers many tools for free, including 250,000+ templates, 100+ design types (social media posts, presentations, letters, and more), free photos and graphics, additional team members, and 5GB of cloud storage, plus access to easy tutorials and other great resources, including a robust blog for marketing, design, and branding. You can level up to Pro and Enterprise for more features, which are free for classrooms and nonprofits.

Canva offers excellent tools for laying out and designing professional-looking  pieces even if you’re not a professional designer. With this design tool, you can create postcards for your upcoming sale, Instagram images for branding, or a flyer with your services. Its intuitive interface has made good design more accessible for all of us.

CONTENT: ANSWER THE PUBLIC

This content-generating tool is so simple that you’ll want to play with it for hours. It makes a great party game too, especially since it’s powered by a perky robot. The premise is simple: just enter the topic you’re interested in covering for your content strategy, and it will (within seconds), deliver an elegantly charted image containing more search terms than you can possibly use. The way it works is by collecting the autocomplete data from the 3 billion+ daily Google searches and mapping them out into “what,” “how,” “where,” and more.

You get an unfiltered look into the minds of searchers, to learn the information that they’re really seeking—and sometimes it’s surprising. You can leverage this content to create the next headlines and search terms for your blogs and social media posts. If your audience feels like you’re reading their minds, it’s because you pretty much are.

With Answer the Public’s free version, you can conduct more than 500,000 searches a month; if you need more you can also upgrade to their other plans:

SEO: GOOGLE BUSINESS PROFILE AND GOOGLE ANALYTICS

THE GOOGLE FREE BUSINESS PROFILE

The Google Free Business Profile is a no-brainer. If you have not yet completed this one-time task, head there right now and get your business set up. This tool will direct all users who find you on Google to the critical information they seek: your phone number, website, address, hours, ratings, description, posts, health and safety measures, women-owned/Black-owned/veteran-owned and other status, and more. It includes a map so users can see your location at a glance and a spot for product and services photos. You can create offers, respond to reviews, send and receive direct messages, and post FAQ answers. Since people will be looking for you on their phones and other devices, this first impression is crucial—and it’s 100% free.

GOOGLE ANALYTICS

To track how well your website is performing, Google Analytics is an excellent tool. It measures real-time traffic and lets you set custom goals like purchases or signups. You can delve into revenue, return on investment (ROI) and return on ad spend (ROAS). When you link it to Google Ads, you can track ad performance and use their advanced machine learning capabilities to optimize advertising campaigns, based on cost per acquisition (CPA), ROI, or ROAS. With this information, you’ll learn which channels are performing best, see where your customers are coming from (devices and geographically), and use this information to optimize your site. Not bad for a free tool! 

Related: 6 Metrics Your Boss Actually Cares About

SOCIAL MEDIA MANAGEMENT: BUFFER

Who has the time to continually post on social media? You do, now that you have a free tool that does it for you! With Buffer, you can schedule your social media posts across social sites in advance, so they’re set. 

Their free option gives you up to three channels and their profiles, with ten social posts per queue (and no monthly or yearly limit), basic publishing tools, and a landing page builder for you to send leads to. They even shorten links automatically to save you characters. Buffer is a great way to manage the posts you’ve been meaning to post but haven’t gotten around to yet. It’s your social media assistant, automated.

If you like working with Buffer (and you will), you can opt for their next available plan, which lets you look at analytics, use their engagement tools, build a shopping landing page, and integrate with other apps:

These free marketing tools are all so helpful, and their paid versions often include even more helpful capabilities. We recommend trying them for free and if you find they’re really working for you, they may be worth an additional investment since they’re providing a strong return. Check them out and let us know how you do!

And if you need help integrating any of these tools or would like more marketing muscle in your toolbox, reach out to our team. We’re suckers for time-saving tools, and we love to help make marketing easier, smarter, and of course, better.

[mattved]

Mega projects

Two years ago, I changed jobs.

The role of BI Analyst that I moved from was about 80% hard-skill based. I took on it while living with a disability resulting from post-operation difficulties and it served me well, providing me with great work-life balance at acceptable wage. Thanks to the arrangement, I was able to take care of myself, deal with my physical handicap, and finally undergo a couple of surgeries, which restored my somewhat healthy status.

Following that, I finally started properly recovering mentally. Soon, I had been able to take on many of my previous hobbies other than gaming. I bought a bicycle, which I'd driven the 20 odd kilometers to work couple of times and even managed to climb the way to the dorms where my then girlfriend (now wife) stayed. I also managed to recondition and sell off computer hardware that I had had piling up for a good while then. I started new electronics projects and fixed appliences for friends and family. I redesigned my blog, made a website, designed a brandbook for an acquaintance, and edited hours of videos. It was almost as if I were back at the uni with little extra money, which allowed me to invest into stuff.

The next obvious thing to happen for any purpose-driven individual was becoming more proactive at work. I suggested expansion and overall improvement of architecture behind the firm's BI suite, because it was clearly necessary - more on that in an earlier article. In spite of my being categorized under finance, there was no real budget for it and most of my proposals ended up in an abbyss. I even paid for Google Cloud resources to automate some of the data science stuff.

When a new CTO came in and things finally started to move, he was more keen on bringing his own people to do the important work. Myself, being previously involved in projects of country-level importance including system implementation and process redesign, even being offered a similar role in the Netherlands, albeit shortly before being diagnosed with cancer, I felt it was unfair not to give me the opportunity. So I left to seek it elsewhere.

I found it with a firm two miles from my birthplace, which was founded some two years after I was born. [Coincidence? Likely.] They (or rather we) are a used car retailer and at that point in time needed to replace an old CRM system. And that's what I was tasked with, all the way from technology and supplier tender to the launch and establishment of iterative development cycles. It was notch up from what I did some time before then, exactly the challenge I felt I needed.

Supported by the director of ICT with profound experience working with a global logistics giant, I completed the implementation in two years. The role encompassed project management, across business stakeholders and external suppliers, creating technical specifications, but most of all, doing a lot of the programming myself - especially the integrations. Along the way, I was joined by a teammate, whom I slowly handed over the responsibility of overseeing the operations and providing L1 - L2 support.

The final 9 months leading up to that were particularly difficult, though - finalizing every little bit to the continually adjusting requirements put forward by the key process owners. In the week before go-live, I worked double hours to finish everything and enable a "big bang" transition. D-Day 3 am, I had to abort due to not making the final data migration in time, meaning that the switch happened on Valentine's day.

The extended care period, over which we had to fix every single bug and reduce glitches took about two more months. And even though we managed to present the whole thing as complete, oversight and further expansion still take about two days of my week.

Over the duration of the CRM project, I was fully invested in it and still managed to deliver some extras, like helping out with reporting, integrating Windows users repository with chip-based attendance system from late '00s, working with some weird APIs, and administering two servers loaded with devops utilities.

Personal life did not suffer entirely. I dedicated most to spending time with my girlfriend, even managed to marry her during that period. There were some home-improvement activities that needed to be done and a small number of hurried vacations. But all my side-projects and hobbies ended up being on hold.

And that is literally the only thing I regret about the project and, to date, from the whole job change. Now is the time to try and pick up where I left off. Regaining the momentum in writing and video editing will be particularly difficult. My wife wants me to help out with her cosplay, so I have good motivation to return to being crafty again and refresh the experience from when I made a LARP crossbow and melee weapons. Furthering home-improvement is a big desire of mine but cost is an issue nowadays, with rent and utilities being entirely on my shoulders.

And then there are two things that I want to achieve that I failed at for way too long. Obtaining a driver's license (or possibly making my wife get it) and losing weight. The latter, I am working on with the handy calorie tracking app that dine4fit.com is, especially in my current region, and my Garmin watch. We will hopefully go swimming again soon as well. The former is a whole different story surrounded by plenty of trauma that still needs some recovery and obviously the sacrifice of cost and time to complete it.

I believe I have now strongly improved my work-life balance, by far not to what I was used to at the uni, but to a level that should let me do things that I want to do. And I wish to maintain it for a while. Maybe before embarking on yet another mega project, albeit with a much better starting point than the one I had in this case? Who knows.

And about the money, I believe a spike will come eventually, with transition to another employer, most likely. But the longer I am here, the more experience comes my way in doses much greater than those I would get elsewhere if I were to move just now. I'm 28 and if I lose weight and make sure to overcome obstacles of personal nature, I will do better. As for not being a millionaire by the age of 30, I should be able to handle that.

I almost died five years ago, gave up on pursuing my master's, lost the chance to take on the opportunity I had in the Netherlands, and now live where I'd wished, even managed temporarily, to move away from. I do well understand how scarce our time is, but I have to cut myself some slack when others don't (upcoming article "cancer perks"). For what it is, I still rock, don't I?!

[ajpandey1]

Amazon Web Service & Adobe Experience Manager:- A Journey together (Part-1)

In the world of digital marketing today, providing a quick, secure, and seamless experience is crucial. A quicker time to market might be a differentiation, and it is crucial to reach a larger audience across all devices. Businesses are relying on cloud-based solutions to increase corporate agility, seize new opportunities, and cut costs.

Managing your marketing content and assets is simple with AEM. There are many advantages to using AWS to run AEM, including improved business agility, better flexibility, and lower expenses.

AEM & AWS a Gift for you:-

We knows about AEM as market leader in the Digital marketing but AWS is having answer for almost all the Architectural concerns like global capacity, security, reliability, fault tolerance, programmability, and usability.

So now AEM become more powerful with the power of AWS and gaining more popularity than the on-premises infrastructure.

Limitless Capacity

This combination gives full freedom to scale all AEM environments speedily in cost effective manner, addition is now more easy, In peak traffic volume where requests are very huge or unknown then AEM instance need more power or scaling . Here friend AWS come in to picture for rescue as the on-demand feature allows to scale all workloads. In holiday season, sporting events and sale events like thanks giving etc. AWS is holding hand of AEM and say

"Hey don't worry I am here for you, i will not left you alone in these peak scenario"

When AEM require upgrade but worried about other things like downtime backup etc then also AWS as friend come and support greatly with its cloud capability. It streamlines upgrades and deployments of AEM.

Now it become easy task with AWS. Parallel environment is cake walk now, so migration and testing is much easier without thinking of the infrastructure difficulties.

Performance testing from the QA is much easier without disturbing production. It can be done in AEM production-like environment. Performing the actual production upgrade itself can then be as simple as the change of a domain name system (DNS) entry.

Sky is no limit for AEM with AWS features and Capabilities :

As a market leader AEM is used by customers as the foundation of their digital marketing platform. AWS and AEM can provide a lot of third part integration opportunity such as blogs, and providing additional tools for supporting mobile delivery, analytics, and big data management.

A new feature can be generated with AWS & AEM combination.Many services like Amazon Simple Notification Service (Amazon SNS), Amazon Simple Queue Service (Amazon SQS), and AWS Lambda, AEM functionality easily integrated with third-party APIs in a decoupled manner. AWS can provide a clean, manageable, and auditable approach to decoupled integration with back-end systems such as CRM and e-commerce systems.

24*7 Global Availability of AEM with Buddy AWS

A more Agile and Innovative requirement can fulfill by cloud transition. How innovation and how much Agile, in previous on-premise environment for any innovation need new infrastructure and more capital expenditure (Capex). Here again the golden combination of AWS and AEM will make things easier and agile. The AWS Cloud model gives you the agility to quickly spin up new instances on AWS, and the ability to try out new services without investing in large and upfront costs. One of the feature of AWS pay-for-what-you-use pricing model is become savior in these activities.

AWS Global Infrastructure available across 24 geographic regions around the globe, so enabling customers to deploy on a global footprint quickly and easily.

Major Security concerns handled with High-Compliance

Security is the major concern about any AEM website. AWS gifts these control and confidence for secure environment. AWS ensure that you will gain the control and confidence with safety and flexibility in secure cloud computing environment . AWS, provides way to improve ability to meet core security and compliance requirements with a comprehensive set of services and features. Compliance certifications and attestations are assessed by a third-party, independent auditor.

Running AEM on AWS provides customers with the benefits of leveraging the compliance and security capabilities of AWS, along with the ability to monitor and audit access to AEM using AWS Security, Identity and Compliance services.

Continue in part-2.......