SIGNS YOUR BIG DATA PROJECT IS DOOMED TO FAIL

(AKA: WHAT NOT TO DO…)

5

PRESENTED BY:

Only 13% of organizations achieve full-scale production for their

in-house big data implementations.

Only 27% of executives described their in-house big data initiatives as successful.

55% of big data projects are never finished.

WHY?

INACCURATEPROJECT SCOPE

SIGN 1:

Big data projects can’t be treated as an average IT project. They are a constantly evolving business strategy that needs adaptive minds and skills to deploy effectively.

A big data strategy should take into account a company’s operational goals

and align with them.

MANAGEMENT ISN’T ON BOARD

SIGN 2:

Buy-in can’t begin and end with technology adoption.

60% of business leaders tend to rely on gut instincts and real-world insights over analytics when making complex decisions.

If decision makers are unwilling to act on big data insights, your big data initiative will fail. Start a cultural shift before technology is adopted, and continue to reinforce it.

NOBUSINESS CASE

SIGN 3:

Big data has become so hyped up, businesses rush into projects without a clear objective in mind.

These projects are destined to fail.

THEORETICAL BENEFITS OF BIG DATA ARE COMPELLING:

Personalized marketingEnhanced customer experience

Competitive edgeMake more money!

But what do these things actually mean? What are we actually looking for?

SOME BETTER QUESTIONS:

How are customers using our product, and how should we adapt our marketing message based on that data?

Which web user is most likely to be receptive to an advertisement or product suggestions based

LACK OF TALENT

SIGN 4:

Demand for data scientists is high and the current supply is low.

57% of organizations cite skills gap as a major inhibitor to Hadoop adoption.

But it takes more than knowledge about big data to be successful. Businesses need data experts with domain knowledge and people skills.

Consider carefully whether you truly have the capacity to manage and maintain the technology behind a big data project or if it would be best to outsource to a turnkey service.

But it takes more than knowledge about big data to be successful. Businesses need data experts with domain knowledge and people skills.

Consider carefully whether you truly have the capacity to manage and maintain the technology behind a big data project or if it would be best to outsource to a turnkey service.

CHALLENGING TOOLS

SIGN 5:

Hadoop is hard to use

Hadoop is hard–let’s make no bones about it. It’s damn hard to use. It’s low-level infrastructure software, and most people out there are not used to using low-level infrastructure software.

- Todd Papaioannou, former Chief Cloud Architect at Yahoo

73% of organizations indicated understanding the big data platform was the most significant challenge to big data projects.

Ease of accessibility varies by vendor. A managed service will offer greater accessibility to non-IT teams.

Are you looking to leverage the power of big

data? Should you buy and build or pay as you

grow? Click the button to see a complete big

data vendor comparison.

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SOURCES: http://visual.ly/cios-big-data | http://www.gartner.com/newsroom/id/3051717 | http://www.gyro.com/onlyhuman/ | https://gigaom.com/2013/03/21/hadoop-its-damn-hard-to-use/