Gartner Research

Peer Lessons Learned: Implementing Data Quality Tools

Published: 12 June 2019

ID: G00407453

Analyst(s): Peer Contributors

Summary

Data quality tools enable enterprises to optimize their data quality through activities like generalized cleansing, parsing and standardization, profiling, and monitoring of data. Data and analytics leaders can learn from the implementation experience of their peers shared on Gartner Peer Insights.

Table Of Contents

Overview

Peer Lessons Learned

  • Lesson 1: Identify Your Data Quality Use Cases and Engage Your Business Users
  • Lesson 2: Evaluate Tools Based on Compatibility, Cost and Proof of Concept Results
  • Lesson 3: Build Strong Relationships With Your Vendor and Implementation Partner
  • Lesson 4: Build Your Team Strategically and Prioritize Professional Development
  • Lesson 5: Prioritize Data Governance and Explore All Tool Capabilities for Maximum Benefit
  • Methodology

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