Blog Posts: Data
This Breakthrough Conversation with Liz Marsh explores the critical nature of data quality, the common obstacles organizations face in preserving it, and the future of data management.
In the third installment on our series exploring the biggest obstacles data and analytics organizations face today and ways to overcome them, we discuss data and technology challenges.
The fundamental problem with most analytics initiatives is that they are often undertaken in an under-characterized context. Get to know your firm’s information economy to make progress in AI.
We now know technology alone isn’t the solution and are led to think that culture is the biggest obstacle to analytics adoption. But that’s a sloppy excuse. Read why.
Back in the slammin' 70s, John Tukey published Exploratory Data Analysis, in which he championed the idea of playing around with datasets before jumping into hypothesis testing. Tukey argued that…
“Data-driven” is such a passive phrase. Who the driver is matters a great deal. When you think about data science, the image of models, algorithms, and statistical methods comes to…
Every large company wants and needs scalable analytics. That’s always been the case. It’s also always been the case that it is a mighty struggle to achieve the scale required.…
Governance of data and related analytical processes isn’t something that most people get excited about. In fact, many people dread the idea of working under – or even discussing –…
The most important factor in determining if a given data science project will succeed or fail in a business environment is not the quality of the results. In an ideal…