Gartner Research

Data and Analytics Feature Definition Framework for Digital Product Managers

Published: 11 April 2019

ID: G00384470

Analyst(s): Jim Hare, Eric Hunter

Summary

In the digital era, product managers aim to make data and analytics features core to their differentiation strategy. This research provides a structured five-step framework to define, assess and prioritize data and analytics features in the product roadmap.

Table Of Contents
  • Key Challenges

Introduction

Analysis

  • Step 1: Define Desired Implications for the Product Experience
  • Step 2: Feature Alignment With Analytic Capabilities and Use Cases
    • Feature Consideration Across the Data and Analytics Continuum
    • Determining Feature Alignment With Critical Capability Use Cases
  • Step 3: Determine Required Data Assets
  • Step 4: Elaborate High-Level Feature Definition Requirements
  • Step 5: Feature Prioritization and Roadmap Integration

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