Gartner Information Technology Research

How to Manage a Portfolio of Analytics, Business Intelligence and Data Science Tools

Published: 02 March 2020

ID: G00465258

Analyst(s): Afraz Jaffri, James Richardson

Summary

Organizations must add data science and machine learning capabilities to their analytics and BI toolsets without creating redundancy and overlap. We show data and analytics leaders how to form a tool management strategy that fosters innovation, evolves analytics needs and enables economies of scale.

Table Of Contents
  • Key Challenges

Introduction

Analysis

  • Change How Your Organization Views Analytics, BI and DSML Tools by Managing Them as a Portfolio
  • Conduct an Initial Assessment of the Life Cycle of Tools in Use
  • Link Tools, Capabilities and Business Objectives With Analytics Blocks
  • Balance Productivity and Innovation by Matching Analytics Blocks to Gartner’s Pace-Layered Application Model
  • Define a Review Method for Tools, Based on Analytics Capability
  • Form a Steering Committee, Share Results and Schedule Periodic Reviews

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