Gartner Research

Answering Big Data's 10 Biggest Vision and Strategy Questions

Published: 12 August 2014

ID: G00263047

Analyst(s): Alexander Linden , Frank Buytendijk , Andrew White , Mark Beyer , Nick Heudecker , Merv Adrian , Neil Chandler , Douglas Laney , Jenny Sussin

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
  • Key Challenges

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?

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