Gartner Research

Apply These Techniques to Maximize Your Return on Data Quality Technology Investments

Published: 18 November 2019

ID: G00441733

Analyst(s): Ankush Jain

Summary

Data and analytics leaders adopting data quality technology can maximize the value of their investments by proactively pursuing a strategy focused on understanding latest pricing, licensing and deployment models; as well as contract negotiation tactics and augmented data quality.

Table Of Contents
  • Key Challenges

Introduction

Analysis

  • Pursue Data Quality Technology Cost Optimization as a Continuous Discipline
    • Balancing the Negotiation Team and Process
    • Using Data Quality Technology RFPs
    • Developing a View of Enterprisewide Data Quality Solutions and Associated Spending
  • Research Data Quality Tools Pricing Trends, Evolving Licensing Metrics and True Total Cost of Ownership
    • Investigate and Then Adopt Vendor’s Latest Pricing Strategy, Metrics and Deployment Models
    • Compute True Total Cost of Ownership and Control Rising Maintenance Costs
  • Make Best Use of the Impact of AI/ML, RPA and the Convergence of Data Management Functions on the Pricing and Licensing of Data Quality Solutions

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