Tuesday, October 15, 2019

Creating a Successful Data and Analytics Program - Introduction (Part 1 of 6)

This blog post is the first in a 6-part series that outlines a framework for implementing a Data and Analytics Program. The intention is not to delve into the specific details of execution because there are many options that can work but to spell out the foundation and key principles upon which a successful program is built. The information presented is an amalgam of details culled from multiple years of research, experience, and conversations with others who have undertaken such an endeavor. The guidelines and advice are based upon industry standards and best practices along with lessons learned and the latest emerging technologies and techniques.


The first thing to recognize and accept is that Data and Analytics is not an IT or even a technology initiative. It is a business initiative that requires technical know-how and support. The concept of Data and Analytics needs to be deeply embedded in the organization at all levels so that information and insights are actively sought, shared, and acted upon. Focusing solely on the technologies involved and centralizing the initiative within IT without significant collaboration are two very common reasons given for why Data and Analytics programs fail. That said, this 6-part series is not going to be yet another "Top 10 Reasons Why Things Fail" story. Instead, we will look at how a company can implement a successful Data and Analytics program and the roles that various colleagues play.

In part 2 of the series, we will start by spelling out our ambitions...

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