Answering Big Data's 10 Biggest Vision and Strategy Questions


Archived Published: 12 August 2014 ID: G00263047

Analyst(s): | | | | | | | |

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Summary

Gartner analysts address the most pressing vision and strategy questions that business, analytics and information professionals have, providing valuable insights on dealing with big data projects successfully.

Table of Contents

  • Introduction
  • Analysis
    • Is Big Data All Hype or Is There Any Substance?
    • What Are Others in My Industry Achieving With Big Data?
    • What is the Range of Data Sources We Should Consider for Big Data Projects?
    • Do We Have a Big Data Problem Yet?
    • Where Is the Value of Big Data Projects?
    • Does Big Data Mean That I Don't Need a Data Warehouse Anymore?
    • What Is Big Data Analytics?
    • How Do Regulatory and Security Concerns Impact the Data We Can Use?
    • What Skills Do I Need for Big Data?
    • How Is a Data Scientist Different Than a Statistician or BI Analyst?
  • Gartner Recommended Reading
© 2014 Gartner, Inc. and/or its Affiliates. All Rights Reserved. Reproduction and distribution of this publication in any form without prior written permission is forbidden. The information contained herein has been obtained from sources believed to be reliable. Gartner disclaims all warranties as to the accuracy, completeness or adequacy of such information. Although Gartners research may discuss legal issues related to the information technology business, Gartner does not provide legal advice or services and its research should not be construed or used as such. Gartner shall have no liability for errors, omissions or inadequacies in the information contained herein or for interpretations thereof. The opinions expressed herein are subject to change without notice.

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