Outsell Growth Framework for the Business of Data, Information & Analytics


Author: Michael Dziekan, Anthea Stratigos, Ned May

Date: January 9, 2019


Today, billions of interconnected people, businesses, and things are generating unprecedented opportunities and challenges for data, information, and analytics companies. Existing providers must know where to position and how to enhance their product development in order to grow revenue and avoid losing business to competitors. Outsell’s Growth Framework provides a proven methodology for executives to use to plan their data, information, and analytics businesses and manage successful product execution. It’s an essential tool for executives and investors to use for operating in the modern era of data, information, and analytics.


Table of Contents

Why This Topic


The Context: Market Drivers, Trends and Disruption

Step 1 – Know Where the Business is in the Value Chain

Step 2 – Design the Data, Information, and Analytics Business

– Stage 1 – Define Current Business State and Aspirational Goals

– Stage 2 – Analyze Conditions, Trends, and Posture

– Stage 3 – Evaluate Capability

– Stage 4 – Define Market Position Over the Next 1–3 Years

Step 3 – Build and Monetize Data, Information, and Analytics Solutions

– The Importance of Product Management

– dIPDL Stage 1: Design Concept

– dIPDL Stage 2: Build Prototype

– dIPDL Stage 3: Launch MVP

– dIPDL Stage 4: Measure/Manage Performance

Essential Actions

Related Research

About the Authors

About Outsell


List of Figures

Figure 1: Outsell Growth Framework

Figure 2: Example Industry Value Chain

Figure 3: Strategic Business Planning

Figure 4: Outsell dIPDL

Additional information


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