CIO Article for Tricentis by Jason English
It’s up to CIOs to create a strong automation approach that fixes existing faulty data and transforms the siloed data quality effort.
The big one has been coming for a while. The combined pressures of real-time business data streaming in from multiple sources, and the Moore’s law-defying increase in storage and compute scalability of hybrid cloud, has led us to this inevitable data explosion.
The impact of this data explosion?
A loss of business intelligence. A resulting lack of decision integrity, because of the complex data that informed business decisions can no longer be trusted.
The sky is falling, the data is failing
I’ve been warning about this phenomenon for a while. [Read “The growing complexity of business data is sabotaging your business intelligence”].
But what if it’s too late to reverse the chain reaction? What if your BI process is already compromised, and you’re underwater in an unmanageable swamp of data, which produces faulty results?
In these situations, damage control alone won’t help. Frantically working to close the gap long enough to patch it, and seal it, will require more than human effort. We need to look for more powerful countermeasures.
We need ways to reduce the blast radius of bad data reaching BI reports, and reduce the impact of the bad decisions being supported by flawed and inconsistent data.
Only through total accountability and complete automation will enterprises be able to plan a way forward: to a state where business intelligence data consistently supports decision integrity.
