Blog Posts: Data

Read this article for a rare example of experience design and data architect teams collaborating to gain a deeper understanding of the end user, and ultimately better data platform.

Viewing data governance as a tactical decision layer can help us understand the interplay between data strategy and data management. Ensure your strategic goals are translated into actionable operations.

Building on our four-part series on the machine learning lifecycle, this article captures another data scientist’s take on the six critical steps in creating good data science products.

In Part 3 of “Machine Learning Lifecycle,” the author explores the nuts and bolts of data collection, from defining data sets to data splits.

In Part 14 of our series on data innovation in healthcare, Ryan Sousa examines how Children’s Minnesota accelerated their data and analytics capabilities and created a data-driven culture.

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.