Data Quality Management Lacking Among Businesses

Data Quality Management Lacking Among Businesses

Data quality must improve significantly if businesses are to reap benefits, according to a Blazent survey of 200 C-level and senior IT professionals.

According to the report, less than half (40 percent) of C-level executives and data scientists are very confident in their organization’s data quality, with the majority (94 percent) recognizing the impact poor data quality has on business outcomes.

Two key disadvantages are lost revenue (42 percent) and bad decision-making (39 percent).

"The lack of faith in data quality management was surprising, in spite of the clear need for it.
Business users do not have a clear sense of the breadth and depth of the data quality problem in spite of the fact that they are continuously exposed to the effect of bad data," Gary Oliver, CEO of Blazent, told in an interview. "Also, I was somewhat surprised at the lack of alignment between line of business and IT groups, considering they’re two eggs in the same basket."

Read Also:
When Big Data Becomes Bad Data

Oliver said given the amount of data coming in from too many directions, and given that the existing tool sets and IT infrastructure mechanisms are clearly overwhelmed, the results are easy to understand, if a bit surprising.

"There needs to be a more systematic and proactive alignment between line of business and IT management in support of quality data--and therefore information--in order to make effective business decisions," he said. "The challenge for data migration is that migrating anything to the cloud is a complex job that needs to be done while the business continues to run at increasingly faster speeds. Not unlike changing the tires on a moving car, except this car has billions of wheels and is moving so fast you can’t see it."

When asked about root causes for poor data quality, nearly half (47 percent) cited Data migration as a leading cause.

 



Sentiment Analysis Symposium

27
Jun
2017
Sentiment Analysis Symposium

15% off with code 7WDATA

Read Also:
5 Ways Startups Can Leverage Big Data for a Competitive Advantage
Read Also:
Data Scientists: The talent crunch (that isnt?), FOMO and Spanish silver

Data Analytics and Behavioural Science Applied to Retail and Consumer Markets

28
Jun
2017
Data Analytics and Behavioural Science Applied to Retail and Consumer Markets

15% off with code 7WDATA

Read Also:
Social media data analytics: How to apply them in education

AI, Machine Learning and Sentiment Analysis Applied to Finance

28
Jun
2017
AI, Machine Learning and Sentiment Analysis Applied to Finance

15% off with code 7WDATA

Read Also:
4 Key Testing Areas for Successful Business Intelligence Programs

Real Business Intelligence

11
Jul
2017
Real Business Intelligence

25% off with code RBIYM01

Read Also:
The Case for the Data Management Maturity Model

Advanced Analytics Forum

20
Sep
2017
Advanced Analytics Forum

15% off with code Discount15

Read Also:
Open data adoption on the rise

Leave a Reply

Your email address will not be published. Required fields are marked *