Strategies for Monetizing Data

January 01, 2019 | Research Report

Current approaches to data monetization are fairly straightforward and can be imitated by competitors, leading to a game of catch-up. This report will discuss a framework that companies can use to be strategic in monetizing data, thereby setting up competitive barriers for themselves.

Services

Chemicals
CPG
Government & Non-Profit
Industrials
Utilities

Executive Summary
Landscape

While many manufacturing companies have embarked on initiatives to extract value from data, there is little effort, if any, to use this data to build strategic moats
Analysis

When it comes to strategically extracting value from data, manufacturing companies can borrow from the arsenal of techniques developed by companies in the technology sector
Outlook

Lead Analyst

Shriram Ramanathan, Ph.D.

Vice President, Group Director

Related companies	BASF, Google, Berkshire Hathaway, L'Oreal, Schlumberger, Oracle, Kemira, Facebook, BBC, iRobot, Fitbit, Maana, Omada Health, Uptake, People Pattern, Infer, LiftIgniter, Uncountable, Netflix, Amazon, EMAGIN Clean Technologies, Addidas, Tomorrow.io, Fracta, Cooper Standard, Acxiom, Lenddo, Zedx

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