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IDC PlanScape: Data Quality Management

Publisher IDC
Published Dec 18, 2023
Length 15 Pages
SKU # IDC18395979

Description

IDC PlanScape: Data Quality Management


This IDC PlanScape discusses the importance of data quality management. The dimensions of data quality may seem simple, but data quality issues are complex. "Dirty data is often a symptom of deeper people, process, and technology issues that impact the quality of the data, but getting to the root cause can be difficult and time-consuming and may shed light on less-than-optimal processes and practices," says Stewart Bond, research vice president, Data Intelligence and Integration Software research at IDC. "Cleaning up data within operational and analytical repositories without first understanding where the bad data is entering the system is the equivalent of bailing a boat without knowing where the holes are. Figure out where the holes are and where the bad data is coming from and why, then correct the issue and plug the hole so that you don't run out of energy continuously cleansing the data."

Please Note: Extended description available upon request.

Table of Contents

15 Pages
IDC PlanScape Figure
Executive Summary
Why Is Data Quality Management Important?
What Is Data Quality Management?
Who Are the Key Stakeholders?
How Can My Organization Take Advantage of Data Quality Management?
Defining a Data Quality Strategy
Data Quality Assessments
Root Cause Analysis
Resolution
Clean and Correct
Measure and Monitor
DataOps
Advice for Technology Buyers
Related Research
How Do Licenses Work?
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