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Big Data and Analytics: Where’s the Value Proposition?

  • April 2014
  • -
  • Frost & Sullivan
  • -
  • 11 pages

This SPIE explores the basic value proposition for Big Data and analytics and discusses the several issues that will have to be addressed to convert that value from conceptual potential to quantifiable business success.


Introduction

Advancements in computing and network technologies have always driven big changes in the ways we live and work, sometimes quickly, but more often over a span of years. First comes the better, faster, cheaper technology, which stimulates new programming languages and tools, as well as new software applications. Then, as these applications are deployed and embraced, they become part of our work processes and they modify our behavior.

Big Data technologies, along with the accompanying paradigm changes in data processing and the evolution in analytic software applications, are just in the earliest stages of transforming our world. The blatant hype has died down a bit, and the pace of experimentation and implementation has picked up. Trade show conferences are beginning to feature some of the early adopters, sharing how they have used Big Data and analytics to find new insights that lead to improved business processes, increased revenues and reduced costs. Other organizations are paying attention, studying up and starting to wonder if they could achieve similar results.

Stratecast | Frost & Sullivan offers this SPIE to assist these organizations and their solution providers. Having previously detailed the components of the Big Data and analytics market, and described the marketing challenges being faced by the vendors, this SPIE takes a step back to explore the basic value proposition for Big Data and analytics, and to discuss the several issues that will have to be addressed to convert that value from conceptual potential to quantifiable business success.

Table Of Contents

Big Data and Analytics: Where’s the Value Proposition?

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