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You can't ignore data governance in implementing your analytics strategy
Why do 87% of data science projects fail?
Non-Availability of Quality Data ....
The data is usually raw and may contain many missing or absurd values. In such cases, it sometimes becomes impossible to make the given dataset into a model-friendly dataset. Thus, if the data quality is not good enough, the data science project will likely fail.
What is the anecdote? ... Data Governance.
But the truth is that data governance is a big challenge for each enterprise. According to a Gartner survey, over 90% of data governance projects fail to perform well.
The MESA Analytics Working Group explores what good data governance could be and how it can reasonably be achieved.
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By MESA Knows Smart ManufacturingWhy do 87% of data science projects fail?
Non-Availability of Quality Data ....
The data is usually raw and may contain many missing or absurd values. In such cases, it sometimes becomes impossible to make the given dataset into a model-friendly dataset. Thus, if the data quality is not good enough, the data science project will likely fail.
What is the anecdote? ... Data Governance.
But the truth is that data governance is a big challenge for each enterprise. According to a Gartner survey, over 90% of data governance projects fail to perform well.
The MESA Analytics Working Group explores what good data governance could be and how it can reasonably be achieved.