Gartner Research

Evaluate and Adopt Modern Data Quality Tools Based on Eight Changing Trends

Published: 12 June 2017

ID: G00326526

Analyst(s): Saul Judah , Mei Selvage, Ankush Jain , Alan Dayley

Summary

Data quality tools are experiencing fundamental changes in eight key areas: audience, governance, data diversity, latency, analytics, intelligence, deployment and pricing. To meet digital business demand, data and analytics leaders urgently need to evaluate, adopt and fully leverage these tools.

Table Of Contents
  • Impacts

Analysis

Impacts and Recommendations

  • Democratization of data quality among businesspeople requires data and analytics leaders to carefully choose modern data quality tools that can directly support this primary audience and trust-based data governance
    • 1. Audience
    • 2. Governance
  • Accelerating digital business transformation is forcing data and analytics leaders to deal with increasing data diversity and ultralow latency
    • 3. Data Diversity
    • 4. Latency
  • The increase in data volume, variety and velocity means that data and analytics leaders must seek out modern data quality tools with advanced analytics, intelligent capabilities, diverse deployment options and alternative pricing models
    • 5. Analytics and Visualization
    • 6. Intelligent Capabilities
    • 7. Deployment
    • 8. Pricing

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