Data accuracy and the bottom line: Making the case for proactive data quality

Data accuracy and the bottom line: Making the case for proactive data quality

Cover

According to analysts, data accuracy is critical in technology-driven business processes, making it a must to involve business users in data quality efforts.

To win approval for involving business users in data quality efforts, IT managers should draw a connection between accurate data and the bottom line.

This exclusive guide outlines key data quality challenges, the business ramifications of poor data quality, and steps to implementing a forward-thinking data quality approach.

Vendor:
Melissa Data Corp
Posted:
17 Jan 2013
Published
17 Jan 2013
Format:
PDF
Length:
8 Page(s)
Type:
eGuide
Language:
English
Already a Bitpipe member? Login here

Download this eGuide!

By submitting you agree to receive email from TechTarget and its partners. If you reside outside of the United States, you consent to having your personal data transferred to and processed in the United States. Privacy