Thought Leadership


11 Reasons Why Most Business Intelligence Projects Fail

Mico Yuk discusses 11 reasons for that the majority of Business Intelligence Projects fail, and discusses what can be done to resolve the issues that exist Datasticians’s insight: Excellent view of BI/Analytic/Big Data project failures. Datasticians’s advisory services can help you to prevent these type of issues. Feell to to contact us to discuss options.

Analytics or BI? Centralized or federated data? Geisinger’s CDO shares insights

Nicholas Marko, MD breaks down the differences between big data analytics and business intelligence, and explains how Geisinger chooses between centralizing and federating data. Datasticians’s insight: A solid article to look at how to manage federated or decentralized data and analytics functions. There are many ways to do this and this article relates to the […]