I’ve spent my career looking at how large quantities of complex information affects every part of our lives and this is the most exciting time to be doing that. Information …
Themes from a Chief Data Officer Forum – the 180 day perspective
Time flies as Virgil observed some 2,045 years ago. A rather shorter six months back I attended the inaugural IRM(UK) Chief Data Officer Executive Forum and recently I returned for …
Is IT Splitting up?
A recent report by Forrester, revealed that more than half of companies with 10% year on year revenue growth have appointed Chief Data Officers (CDOs). Although overall only 45% of …
Data Governance: “Where’s the Money, Honey?”
Becoming a data-driven company: what’s not to like about it? Many organizations are embarking on their own “Big Data” journey, and many are finding that it’s not obvious how to …
Demystifying Big Data Governance
by Peter Hora Big Data is a popular buzzword but when it’s actually used in everyday tasks, practical questions about data governance, no different from those being asked of other …
Big Data Demands Big Picture Thinking, Part 3
View PostBig Data Demands Big Picture Thinking, Part 2
View PostDefining Business Analysis for Big Data
In the beginning of the Information Era, there was business analysis for application development. Waterfall methods, Rapid Application Development, Agile methods,.. all were based on delivering a functioning piece of …
Big Data Demands Big Picture Thinking, Part 1
View PostBig Data is All the Rage, But Dimensional Data Warehouses Get the Job Done
By: Aaron Fuller, Principal Consultant and Owner, Superior Data Strategies aaron@superiordatastrategies.com Previous article on TDWI here. Although there’s considerable potential in big data, overinvesting in the technology can starve what produces consistent value …
How To Prioritise Your Big Data Analytics Use Cases
That’s it, you’ve made it. A Big Data Analytics team has been implemented in your company. A few use cases have been identified and for now, they are executed on …
Why 99% Accuracy May Not be Enough When Analysing Big Data
When you’re analysing huge amounts of Big Data, an algorithm that’s 99% accurate may not be sufficient. We use Bayes’ theorem to explain why you need better algorithms and better-quality …
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