Big Data: A road map for business intelligence

Big Data has been hailed as a ground-breaking technological development that will revolutionize how businesses operate. Major corporations have therefore been quick to exploit the opportunities available. Understanding how companies have used Big Data and where Big Data might be used next is therefore vital to keeping pace with the strategic advantages being gained in the modern world.

Scope

  • A detailed explanation of the predominant framework used to undertake Big Data analytics, from a business intelligence perspective.
  • An overview of the key players in the industry.
  • A detailed analysis of the uses of Big Data in terms of business intelligence, with real-life industry examples.
  • Forward looking analysis of the potential uses of Big Data in terms of business intelligence.
  • An overview of the limitations of Big Data and the proposal of a new form of holistic intelligence.

Reasons to buy

What is Big Data, how does it work and why does it matter?

Who are the key players in the industry and what do they offer?

How has Big Data been used in the past and how might it be used in the future?

Companies mentioned

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Table of Contents

OVERVIEW

Catalyst

Summary

THE CORE TECHNOLOGIES AND THE KEY PLAYERS

The core technologies are open & free but complex to operate

Open source software has ...

OVERVIEW

Catalyst

Summary

THE CORE TECHNOLOGIES AND THE KEY PLAYERS

The core technologies are open & free but complex to operate

Open source software has been central to the development of Big Data

How can a business make sense of Big Data and why does it matter?

How does Big Data really work?

Hadoop Common

The Hadoop Distributed File System (HDFS)

Hadoop YARN

Hadoop MapReduce

The key players include software majors and rising upstarts

Technology powerhouses are likely to reap the most rewards in the long-term

The new and the hungry have seen exponential growth but not all can be winners

EARLY ADOPTERS HAVE BEEN INTROSPECTIVE

Customer-generated information has provided many new strategic insights

Customer analytics gives businesses greater predictive power

Sentiment analysis can be used to tailor public interactions and optimize production processes

Analysis of the general public can lead to improved cost and time efficiencies

Company processes and operational information become clearer with Big Data

Previously impenetrable research and development problems have become solvable

Industrial usage points to huge cost savings through optimization techniques

BIG DATA 2.0 – HOLISTIC INTELLIGENCE

Where do we go from here?

What happens when everyone is using Big Data?

Sourcing external data is a logical next step in the short-term

CONCLUSIONS

The future belongs to those who ask the right questions

APPENDIX

Definitions

Sources

Further Reading

Ask the analyst

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