Big Data and Good Data and Enterprise Architecture

As consultant Tom Davenport said, “At American Airlines, they told me they had 11 different usages of the term ‘airport’. As a frequent traveler on their planes, I was initially a bit concerned about this but when they explained it, the proliferation of meanings made sense. They said the cargo people view any place you can pick up or drop off cargo as an airport. The maintenance people viewed any place that you can fix an airplane as an airport. The people who work with Air Transportation Authorities relied on a list of international airports.” This scared me. If we try to take these disparate databases that have different definitions of the word airport, what are we going to get? I know I want to make sure that the pilot flying the airplane knows which word is being used in what context. But, I ask, how do you have the unique meanings when you essentially have a running database? Good Data comes before Big Data - we will explore how to get there. It requires Enterprise Architecture.

Om Podcasten

The 2020’s Enterprise is about sorting through the internet-driven advice madness that exists in business today. The great thing about the internet is that anyone can write anything about anything. The problem with the internet is that anyone can write anything about anything! Published practices are quite different than “best practices.” This program will provide practice-based insights in business transformation, organizational transformation and technology transformation, based on real world practices. Business executives, managers, practitioners, and staff are bombarded daily with utopian solutions that more often than not deliver significantly less than promised. This show is “no jargon,” just human communication. Be treated like a “customer” not a “user.” Our philosophy is to provide you with insights that can provide true value to organizations and individuals that face today’s and tomorrow’s competitive pressures, and provide a usable takeaway from each program.