Without accurate and trustworthy data, the value of data-driven decision making is greatly diminished.
We’ve all seen the scenario where business people simply don’t trust the reports they receive. They can base their decisions on them anyway; they can ignore them and make decisions that don’t even pretend to be fact based; they can strike out on their own and try to create their own systems to meet their specific needs, creating more data silos.
The options aren’t pretty.
Enterprises are increasingly recognizing the importance of having accurate, trustworthy data. These key data governance practices can help ensure data quality, and they need not be heavy-handed or inflexible.
Included in this e-book:
This asset is sponsored by IBM.