The practice of data ownership
22 February 2016
Our hypothesis is that bad data is a symptom of poor organisational design; by implication, the by-product of a well-designed organisation will be normalised data that is a genuine asset to it, fit-for-purpose and suitable to for Machine Learning to be applied to it.
Improvements to business process can deliver high-quality enterprise-wide data. The following five tests can improve your processes – the results of which could dramatically improve the inner workings of your firm.
The origin of poor data quality is poor data ownership. Without a clear understanding and good ownership practice in place, data quality controls and governance are treating the symptom but ignoring the cause. Fortunately a lot can be borrowed from successful technology design approaches in order to address this.
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