ID Number: G00204024



Text Analytics Guidance: Building a Text Analytics Program
16 July 2010
 
Jamie Popkin  

Text analytics is maturing as a technology and beginning to deliver substantial return on investment (ROI) in a growing number of application areas. Organizations need to advance their operational maturity as they scale up the use of text analytics or else run the risk of failing to meet rising user expectations and/or making suboptimal investment decisions. In this guidance document, VP Distinguished Analyst and Gartner Fellow Jamie Popkin shows how a program approach to text analytics is a useful risk-management technique.





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Table of Contents

Contents
  • Summary of Findings
  • Guidance Context
    • Problem Statement
    • Guidance Applicability
  • Gartner Definition
  • The Gartner Approach
  • The Guidance Framework
    • Phase 1: Understand the ABC's of Text Analytics
    • Phase 2: Assess the Current State
      • Readiness Assessment
      • Solution Patterns
      • Align with Corporate Objectives
    • Phase 3: Architect for the Future
      • Build Game Plan for Advancement
      • Vendor, Product, and Application Landscape
      • Functional Differentiators and Architecting for the Future
    • Phase 4: Measure, Report, Refine
      • Identify and Track Key Performance Metrics
      • Advertise Success and Socialize Next Steps
      • Refine Metrics and Reporting Strategy
    • Follow-Up
  • Risks and Pitfalls
  • Conclusion
Tables
Table 1.
The Four Phases of the Text Analytics Program
Table 2.
TAP Readiness Assessment Levels
Table 3.
Measuring the Value of Information
Figures
Figure 1.
High-Level Overview of the Components of a Text Analytics System
Figure 2.
Solution Patterns Mapped to the Business Intelligence, Analytics, and Performance Management Framework
Figure 3.
Pattern-Based Strategy Framework
Figure 4.
Text Analytics Paths to End Users Mapped to BIAPM Framework




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Resource Id: 1405834