Gartner Research

Best Practices for Cost Optimizing Your Data Management Program

Published: 26 April 2017

ID: G00325836

Analyst(s): Ted Friedman , Roxane Edjlali, Mei Selvage, Ehtisham Zaidi , Saul Judah , Adam Ronthal , Guido De Simoni, Eric Thoo

Summary

Data and analytics leaders must focus on the discipline of cost optimization as they work to make data management essential to the organization's digital future. Applying cost optimization techniques across all five data management disciplines will greatly reduce costs and maximize business value.

Table Of Contents
  • Key Challenges

Introduction

Analysis

  • Take Control of Your Data Integration Tools' Licensing and Use Mature Data Virtualization Capabilities
  • Develop a Formal Business Process for Data Quality by Embedding Responsibility for Data Quality Issues in Distributed Business Functions
  • Rationalize Your DBMS Portfolio and Explore New Deployment Models
  • Adopt a Logical Data Warehouse Architecture to Cost Optimize Your Data Management Solutions for Analytics
  • Build a Metadata Management Program to Improve Standardization and Support Long-Term Data Management Cost Optimization

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