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.
Introduction
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.
(To continue reading please open the PDF link below)
How can we help?
Our deep knowledge, project-based engagement model and technology accelerators means we deliver your objectives to our own high-quality engineering standards. The results are rapid adoption with a long and reliable service life, good value and satisfied customers. Find out how we can help you...
Read more