Gartner Research

Survey Analysis: New Data and New Analytics Are All Mythology Unless You Add Skills

Published: 18 September 2017

ID: G00331689

Analyst(s): Adam Ronthal , Mark Beyer

Summary

Data and analytics leaders must follow practices and designs that reinforce analytics credibility. Our 2017 survey on the adoption and deployment of logical data warehouse architectures shows a troubling gap between demand for new data and analytics and the skills available to address that demand.

Table Of Contents

Survey Objective

Data Insights

  • Ninety-Two Percent of Organizations Report That Their Current Data Management Needs Supporting Analytics and Reporting Remain Unmet, and Demand New Data and Data Types
  • Delivery Capacity for Prequalified Data Will Almost Double by Early 2018, Forcing the Data Management Architecture and Infrastructure Design to Support the Rapid Conversion of Data Science Discoveries Into Production
  • Low-Skilled Analysts Are Demanding Access to Highly Complex Data Use Cases and Threatening to Overwhelm the Credibility of Data Use in the Digital Business
  • Methodology

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