How much tech debt are you living with? The biggest challenge IT leaders face is moving their roadmap forward while still paying down tech debt from all of the projects and decisions that have come before. Every system integration, feature addition and line of code can lead to wasted hours and major delays down the line. […]
Stop Taking on Unnecessary Tech Debt Read More »
20 years ago the term “minimum viable product” was coined and over the following decades the concept has taken on an almost religious following among digital product developers. Despite its many benefits, the MVP philosophy continually trips up organizations in one key area. If you don’t carve out an MVP exception for your data collection,
When it Comes to Data Collection, Avoid MVP and Choose MDC Instead Read More »
In the movie “Memento”, the main character tattoos notes all over his body to retain key pieces of information because he has no short-term memory. It’s a severe solution to a severe problem, but it gets the job done for him. Fortunately, we don’t suffer from that same problem, but in the corporate environment we
The Importance of Annotations for Data Insights Read More »
There’s a certain thrill that comes from giving up control. Stepping out of the airplane with a parachute strapped to your back, buckling into the seat of the roller coaster car, or even just saying to the chef “surprise me” all share the same qualities. You are surrendering your fate to someone or something else,
Why You Can’t Just Let AI Do All the Work Read More »
When you’re trying to understand how to get value from your data, you might not immediately think of a restaurant kitchen, but it actually offers the perfect analogy. It also highlights exactly why so many companies are having such a hard time getting the desired return on their data investments. Sourcing your ingredients = capturing
Cooking is the Perfect Analogy for Data Science Read More »
When we talk to people about using ALL of their data to find actionable insights, we often hear: “We’ve got it all in our data lake.” That’s when we gently break the news to them that it’s not ALL in there. The truth is that there are four different types of data in every company,
There are four types of data in your company (and only one is in your data lake) Read More »
