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The Data Engineer’s Roadmap

Data engineering is a fascinating and fulfilling career – you are at the helm of every business operation that requires data, and as long as users generate data, businesses will always need data engineers. In other words, job security is guaranteed.  But, with such great power comes great responsibility. The journey to becoming a successful data engineer […]

3 Common Business Intelligence Challenges

Typical business intelligence implementations allow business users to easily consume data specific to their goals and daily tasks. The ability to analyze both past and present events unlocks information about the current state and is essential for remaining competitive in today’s data-forward market. With that in mind, there are some common business intelligence challenges that […]

Five Tips for Telling a Compelling Data Story

Running a business is impossible without data. Data clarifies the facts, revealing insights that help everyone from top executives to front-line employees make better decisions. Nonetheless, it is as much an art as a science to make sense of data and use it to maximum effect. Information overload is one reason. The amount of data […]

5 Simple Ways to Improve Data Literacy

Building and maintaining a data-driven business is the only way to ensure your long-term success in today’s increasingly digital commerce landscape. This involves more than hiring a team of IT professionals or buying the latest data analytics tools – it requires you to improve your employees’ Data Literacy skills as well. Data-driven organizations must capture […]

What Can Artificial Intelligence Do for Me? (Part 2)

In my previous blog post, I described some concrete techniques and surveyed some early approaches to artificial intelligence (AI) and found that they still offer attractive opportunities for improving the user experience. In this post, we’ll look at some more mathematical and algorithmic approaches to creating usable business intelligence from big piles of data.  Regression Analysis Regression […]

Do You Need a Semantic Layer?

I co-founded my company to focus on the challenges of supporting a large number of data analysts working on disparate sets of data managed in a massive lake. We borrowed the term “semantic layer” from the folks at Business Objects, who originally coined it in the 1990s. The term was actually over 20 years old […]