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Big Data & Analytics: Risk, Reward, and Return on Investment 

Big Data & Analytics: Risk, Reward, and Return on Investment 

  • July 2015
  • 11 pages
  • ID: 3169909
  • Format: PDF
  • By Frost & Sullivan

Summary

Table of Contents

Big Data & Analytics: Risk, Reward and Return on Investment

Introduction

Rapid advances in information and communication technologies are driving many aspects of today’s world, from the broadest social and economic developments to the most personal day-to-day choices. Smartphones and tablets, connected to vast stores of information and applications, are spreading opportunities for growth and change far beyond traditional boundaries.

Innovators like Airbnb, Bitcoin, and Uber have shown traditional hotel, bank, and taxi operators—and everyone else—that technology-driven disruption can be very fast and very powerful. Now, established businesses of all types are being admonished to jump in soon, to “disrupt themselves” before they are overtaken by more nimble and tech-savvy new competitors.

The broad customer base, deep product line, well-known brand, and stable business processes of established firms—their most valuable assets—are now seen as hard-to-maneuver impediments to the rapid pace of change that is expected of incumbents who want to stay in the game.
Making better use of data and analytics is the key to successful disruption, for newcomers and incumbents alike, and across all industries. Every business that wants to survive and thrive will need to use Big Data and analytic (BDA) solutions to find the revenue generating and cost-saving possibilities that are hiding in their current information systems, databases, and business processes.

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