Digital Commerce Requires an End-to-End Approach to Product Data
Archived
Published: 10 October 2017
ID: G00296206
Analyst(s): Michael Moran | Simon Walker
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Summary
Digital commerce is on the increase, but product data is not keeping pace with its requirements. Data and analytics leaders running digital commerce programs must take an end-to-end approach to product data, one that provides solutions that deliver value both to their organization and its customers.
Table of Contents
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Analysis
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Impacts and Recommendations
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Digital commerce places substantial demands on data and analytics leaders to deliver the master and other types of product data required for the complex and robust (rather than simple and lean) needs of this new form of business
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The lack of any proven integrated solutions that meet the broad spectrum of product data needs in support of digital commerce requires data and analytics leaders to define and implement an intelligently designed data architecture
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Digital commerce places substantial demands on data and analytics leaders to deliver the master and other types of product data required for the complex and robust (rather than simple and lean) needs of this new form of business
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