8 Ways To Ensure Data Quality - InformationWeek

InformationWeek is part of the Informa Tech Division of Informa PLC

This site is operated by a business or businesses owned by Informa PLC and all copyright resides with them.Informa PLC's registered office is 5 Howick Place, London SW1P 1WG. Registered in England and Wales. Number 8860726.

IoT
IoT
Data Management // Big Data Analytics
News
10/14/2015
07:05 AM
Lisa Morgan
Lisa Morgan
Slideshows
Connect Directly
Twitter
RSS
E-Mail

8 Ways To Ensure Data Quality

The quality of your business decisions is only as good as the quality of the data you use to back them up. Here are some tips to help you determine how reliable your data actually is.
7 of 9

Lead With Business 

IT-centric data quality practices don't serve an organization as effectively as they might if they're decoupled from business requirements. Similarly, if business professionals don't understand the importance of data quality, they're inclined to disregard it. 
'The number one mistake that people [make is to] lead with data quality initiatives, rather than leading with a business initiative. You see a lot of data quality problems that are internal to IT where the business doesn't engage because it hasn't been involved in a way that it can engage,' said Steve Jones, global VP of Capgemini's big data practice. 'People take a vanilla approach to data quality, saying all data needs to be high quality. It's not necessary and it adds massive costs. Data quality isn't a business outcome. It's about the business objective that data quality enables.' 
Data quality can remain IT-focused in some organizations because of the continued focus on schemas -- data warehouse schemas, customer schemas, and product schemas, as examples. As organizations bring in additional data sources from social media and the Internet of Things, they're unable to define a schema that applies equally well to all of them. 'Big data has gotten people to realize the phase zero of data quality is being able to navigate among those data sets, not get everyone to conform to schema,' Jones said. 
(Image: Henra via Pixabay)

Lead With Business

IT-centric data quality practices don't serve an organization as effectively as they might if they're decoupled from business requirements. Similarly, if business professionals don't understand the importance of data quality, they're inclined to disregard it.

"The number one mistake that people [make is to] lead with data quality initiatives, rather than leading with a business initiative. You see a lot of data quality problems that are internal to IT where the business doesn't engage because it hasn't been involved in a way that it can engage," said Steve Jones, global VP of Capgemini's big data practice. "People take a vanilla approach to data quality, saying all data needs to be high quality. It's not necessary and it adds massive costs. Data quality isn't a business outcome. It's about the business objective that data quality enables."

Data quality can remain IT-focused in some organizations because of the continued focus on schemas -- data warehouse schemas, customer schemas, and product schemas, as examples. As organizations bring in additional data sources from social media and the Internet of Things, they're unable to define a schema that applies equally well to all of them. "Big data has gotten people to realize the phase zero of data quality is being able to navigate among those data sets, not get everyone to conform to schema," Jones said.

(Image: Henra via Pixabay)

7 of 9
Comment  | 
Print  | 
InformationWeek Is Getting an Upgrade!

Find out more about our plans to improve the look, functionality, and performance of the InformationWeek site in the coming months.

News
Remote Work Tops SF, NYC for Most High-Paying Job Openings
Jessica Davis, Senior Editor, Enterprise Apps,  7/20/2021
Slideshows
Blockchain Gets Real Across Industries
Lisa Morgan, Freelance Writer,  7/22/2021
Commentary
Seeking a Competitive Edge vs. Chasing Savings in the Cloud
Joao-Pierre S. Ruth, Senior Writer,  7/19/2021
White Papers
Register for InformationWeek Newsletters
Video
Current Issue
Monitoring Critical Cloud Workloads Report
In this report, our experts will discuss how to advance your ability to monitor critical workloads as they move about the various cloud platforms in your company.
Slideshows
Flash Poll