For someone that’s been preaching data governance and data quality for more than fifteen years, its been fascinating to see how these two topics have been gaining traction in the last few years. A few week’s back I touched on the difference between data governance and data quality – governance is about “what” and “who”,…
It may sound counter-intuitive but the “what” of metadata is probably the least important thing. Why do I say that? We, let’s start by looking at what metadata is. Metadata is information about other data that gives it context. Two common examples are the data dictionary and the business glossary. The “what” of the data…
But to business, having customer data consolidated into a master data management application often leaves a bad taste.
What makes the difference, for any AI project, is the quality and quantity of data that is available to feed the model.
We all know the three V’s of big data – volume, variety and velocity (it’s big, it’s complex and it changes rapidly). Recent events got me thinking about the three E’s… Explosiveness We have been hearing for years of the massive volumes of data being generated every second, yet, for most businesses the examples used…
Concerns about the quality of data are inhibiting the adoption of AI in South Africa and world wide – access the report
Proper information governance will help to ensure that executives, auditors and shareholders can trust the financial results being presented. Information governance is about changing behaviour to maximise the value of data, manage complexity and mitigate risks.
