Thoughts on the Data Ecosystem

Improving Data Access: Getting Past Step One

In my previous post, I explored commonalities found in any given “data project.” Here we’ll run the first of the five gauntlets: data access.

Data Prep to Data Pipes: 5 Facets of a Data Project

At this point, we’ve all heard the news.

Data is growing at an exponential rate. Data is the new oil. Data is a strategic advantage. Data is big. Data is small. Certainly Goldilocks believes her porridge data is jusssst right.

Let a Thousand Data Silos Bloom

It’s a story as old as time. It’s a story of evolution, a story of freedom. And it’s a story of stuffing a genie back into its bottle.

Yes, I speak of the ancient enterprise battle royale: Productivity vs. Control.

These battles are constantly happening throughout the enterprise, usually with very good intentions. But, like so many good intentions, they often pave the road to, um… employee circumvention. Hey, gotta get stuff done, right?!?

5 Steps to Faster Data Projects

Data projects come in many shapes and sizes. From big data predictive analytics to small data spreadsheet projects, from building new open data applications to reconciling a couple of ERP tables in the accounting department.

Decentralized Data Projects are the Norm

In an excellent post, CIO Isaac Sacolick asks, what technologies work best for decentralized data scientists?

Enterprise Data Projects: It Takes a Village

I recently found an article discussing the four different types of Data Scientists. Turns out there’s a quite a bit of wiggle in what the term “Data Scientist” might mean – from business savant to data viz wiz to world class coder to Ph.D. in statistics. A question is posed: