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Data governance: misunderstanding sorting
2022-07-06 07:45:00 【Freedom3568】
List of articles
- brief introduction
- Misunderstanding analysis
- Mistake 1 : Unclear customer needs
- Mistake 2 : Data governance is the business of the Technology Department
- Mistake 3 : Large and comprehensive data governance
- Error 4 : Tools are omnipotent
- Mistake 5 : Data standards are difficult to implement
- Error 6 : The data quality problem has been found , so what ?
- Mistake 7 : You seem to have done nothing ?
- summary :
brief introduction
Big data era , Data becomes a valuable asset for society and organizations , It drives everything like oil and electricity in the industrial age , However, if there are too many impurities in the oil , The voltage of the current is unstable , The value of data is greatly reduced , It's not even available at all , therefore , Data governance is the inevitable choice for us to make good use of massive data in the big data era .
But we all know that , Data governance is a long-term and complicated work , It can be said to be dirty work in the big data field , Many times, data governance vendors have done a lot of work , The customer thinks he hasn't seen any results . Most data governance consulting projects can submit an answer sheet that satisfies customers , But when the consulting results are put into practice , For a variety of reasons , It may well be a different landscape . How to avoid this , Every enterprise doing data governance is worth
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