Gartner Research

Solution Path for Planning and Implementing the Next-Generation Data Warehouse

Published: 24 November 2015

ID: G00276447

Analyst(s): Mei Selvage

Summary

To modernize and advance the maturity of your data warehouses, data management practitioners should adopt this comprehensive roadmap to holistically address data, people, process and technology. This paper helps you plan and implement a logical data warehouse (LDW) initiative in four phases.

Table Of Contents

Solution Path Diagram

What You Need to Know

Solution Path

  • Preliminary
    • Data: Define the LDW Architecture
    • People: Hone Professional Effectiveness Skills
    • Process: Make a Case for LDW
    • Technology: Assess Where You Are
  • Beginner Level
    • Data: Start the Foundational Data Disciplines
    • People: Cultivate a Data-Driven, Analytical Culture
    • Process: Set Up the Information Governance Council
    • Technology: Build and Deploy the Data Foundation
  • Intermediate Level
    • Data: Enforce Data Foundation
    • People: Expand Self-Service
    • Process: Fund Innovative Work
    • Technology: Diversify the Technology Investment
  • Advanced Level
    • Data: Participate in the Data Marketplace
    • People: Work With the CDO and Data Scientists
    • Process: Fine-Tune Information Governance in the Age of Big Data
    • Technology: Rise to Challenges and Reap the Rewards of IoT

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