Skip to content
The 7 Principles of Collaborative Intelligence

Last week we held the first ever summit on Collaborative Intelligence.  We coined the term to contrast with both centralized data warehousing and the free-for-all do-it-yourself model.  Neither approach has really satisfied our customers needs. We gathered last week in Atlanta to help define a middle way.  Coming out of the event we have settled

Stop Re-Writing (and copying and pasting) Your SQL

We hear it all the time: data engineers and analysts complaining about how hard it is to locate existing SQL assets, whether generated by themselves or by a teammate, for reuse in a new project. Inevitably, after combing through your hard drive and company network, or using email or internal chat tools to beg others

Why Git Fails for Analytics Teams

As strong advocates for analytic code sharing and reuse, we’re often asked why we don’t integrate with GitHub or other Git repositories. The simple answer is that Git isn’t often a great fit for sharing SQL code. This post explains why, and suggests a better alternative. It’s tedious to rewrite the same SQL over again.

The Future of Analytics is Decentralized

Centralized analytics moves too slowly to respond to an evolving set of business needs. There’s simply no way a centralized data engineering team can understand and build all the analytic capabilities every team in the business needs…nor can it be fast enough. Businesses can’t afford to wait weeks or months for the centralized engineering team