Discover Performance

HP Software's community for IT leaders // July 2013


Bring limitless curiosity to your big data

A philosophical shift in analytics means you can ask your data anything—and expect an answer.

Curious developments

Trend watch

Learning to win with big data

The sports world is scoring big with advanced analytics. Learn what you need to know to follow their example.


In depth

Rate your IT against the best

HP’s Daniel Dorr talks about his survey of 650 companies, and what CIOs can learn from the best in the field.

Stand tall


IT leader assessment

This tool evaluates the correlation between IT attributes and business success and, based on how your answers compare with average scores, will advise you where to invest in IT.

It is based on data HP collected from 650 global companies about a range of IT characteristics (server capacities, approach to information management, security, BYOD, etc.) and how they correlate to revenue gain. This assessment will compare your answers to the average scores in that study.

There are 12 questions that will require an estimated 10 minutes of your time. You'll receive a summary of your rating upon completion.

Let's get started

Please select an answer.


Your answer:
Your score:
Average score:
Revenue leaders' score:


Please select an answer.



Your score:
Average score:
Revenue leaders' score:

Get detailed results:

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Info management index

$18.1 billion

Projected value of the big data market in 2013.1

$11.4 billion

Total value of the big data market in 2012.1

1Big Data Vendor Revenue and Market Forecast,” Jeff Kelly, Wikibon, February 2013.

One question

Q: How are big companies wrestling with big data?

A: Big data may be new to much of the world, but many data-focused executives in large firms view it as something they have been wrestling with for years. Some managers appreciate the innovative nature of big data, but more find it “business as usual,” or part of a continuing evolution toward more data. However, they are still impressed by the lack of structure of the data they are now able to manage, and the opportunity/cost ratio of big data technologies.

—Thomas H. Davenport, director of research at the International Institute for Analytics, in the Wall Street Journal’s CIO Report

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