TDWI Upside - Where Data Means Business

Contributor: Barry Devlin


Dr. Barry Devlin, founder and principal of 9sight Consulting, is among the foremost authorities on business insight and big data, and is one of the founders of data warehousing, having published the first architectural paper on the topic in 1988. With over 30 years of IT experience, including 20 years with IBM as a Distinguished Engineer, he is a widely respected analyst, consultant, lecturer and author of the seminal book, “Data Warehouse—from Architecture to Implementation” and numerous White Papers. His new book “Business unintelligence—Insight and Innovation beyond Analytics and Big Data” is published later this year. A regular contributor to multiple publications, Barry is based in Cape Town, South Africa and operates worldwide.

  


All articles by Barry Devlin


The Data Basis of Pokémania

The success of Pokémon Go means more than profits for the developers -- it may be the first of many ways companies exploit large amounts of location data.

Autonomous Vehicles: Impact on Business and Society (Part 4 of 4)

Many of the technology challenges facing driverless cars are already well understood and, in some cases, solved. We have to give more thought to the legal, ethical, and societal impacts.

Autonomous Vehicles: The Employment Outlook (Part 3 of 4)

Just as flesh-and-blood horse power was displaced by engine horsepower, human driving skills will transfer to the machine intelligence of driverless cars. Will new jobs be created or found to replace those displaced by self-driving vehicles?

Autonomous Vehicles: A World of New Data and Analytics (Part 2 of 4)

The data gathered by today's cars has already formed the foundation of new applications and novel businesses. The driverless car will only accelerate this trend.

Autonomous Vehicles: A Horse of a Different Color (Part 1 of 4)

The driverless car is coming. In this series, we'll look at the implications to data collection and privacy, to data analytics, and to business and society in general.

Data-Driven Brexit: A Wakeup Call for Analysts

The field of analytics has failed to grasp the reality that data is not reality.

Smart Things, Dumb Data

Just because devices collect data doesn't mean we can use it. Why data from IoT devices needs to be standardized.

How Do You Make Decisions? (Part 4 of 4)

We need a new model of decision making to handle the real-world elements of our processes.

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