Gartner Research

Focus on the 'Three Vs' of Big Data Analytics: Variability, Veracity and Value

Published: 24 November 2014

ID: G00270472

Analyst(s): Alan D. Duncan

Summary

To drive better analytic outcomes, business leaders must focus on big data analytic initiatives with characteristics that prepare and exploit the business context of analytic data: variability, veracity and value.

Table Of Contents
  • Key Challenges

Introduction

Analysis

  • Identify and Communicate the Business Context for Data Within Big Data Analytic Projects
  • Use Analytic and Information Governance to Develop a Culture of Evidence-Based Decision Making
  • Use Pace-Layering Concepts to Explore Innovation Opportunities for Analytic Business Value

Gartner Recommended Reading

©2020 Gartner, Inc. and/or its affiliates. All rights reserved. Gartner is a registered trademark of Gartner, Inc. and its affiliates. This publication may not be reproduced or distributed in any form without Gartner’s prior written permission. It consists of the opinions of Gartner’s research organization, which should not be construed as statements of fact. While the information contained in this publication has been obtained from sources believed to be reliable, Gartner disclaims all warranties as to the accuracy, completeness or adequacy of such information. Although Gartner research may address legal and financial issues, Gartner does not provide legal or investment advice and its research should not be construed or used as such. Your access and use of this publication are governed by Gartner’s Usage Policy. Gartner prides itself on its reputation for independence and objectivity. Its research is produced independently by its research organization without input or influence from any third party. For further information, see Guiding Principles on Independence and Objectivity.

Already have a Gartner Account?

Become a client

Learn how to access this content as a Gartner client.