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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?
INACCURATE
PROJECT SCOPE
SIGN 1:
Big data projects can’t be treated as an average
IT project. They are a constantly evolving business
strategy that needs a...
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 ...
If decision makers are unwilling to act on
big data insights, your big data initiative will
fail. Start a cultural shift b...
NO
BUSINESS CASE
SIGN 3:
Big data has become so hyped up,
businesses rush into projects without
a clear objective in mind.
These projects are desti...
THEORETICAL BENEFITS OF
BIG DATA ARE COMPELLING:
Personalized marketing
Enhanced customer experience
Competitive edge
Make...
But what do these things actually mean?
What are we actually looking for?
SOME BETTER QUESTIONS:
How are customers using o...
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
inhibito...
But it takes more than knowledge about
big data to be successful. Businesses need
data experts with domain knowledge and
p...
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 so...
73% of organizations indicated understanding
the big data platform was the most significant
challenge to big data projects...
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 ...
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5 Signs Your Big Data Project is Doomed to Fail

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Big data analytics success is dependent on much more than having the right technology. Hadoop is difficult to use, and many big data projects fail. Learn how to make yours a success.

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5 Signs Your Big Data Project is Doomed to Fail

  1. 1. SIGNS YOUR BIG DATA PROJECT IS DOOMED TO FAIL (AKA: WHAT NOT TO DO…) 5
  2. 2. PRESENTED BY:
  3. 3. Only 13% of organizations achieve full-scale production for their in-house big data implementations.
  4. 4. Only 27% of executives described their in-house big data initiatives as successful.
  5. 5. 55% of big data projects are never finished.
  6. 6. WHY?
  7. 7. INACCURATE PROJECT SCOPE SIGN 1:
  8. 8. 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.
  9. 9. A big data strategy should take into account a company’s operational goals and align with them.
  10. 10. MANAGEMENT ISN’T ON BOARD SIGN 2:
  11. 11. 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.
  12. 12. 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.
  13. 13. NO BUSINESS CASE SIGN 3:
  14. 14. Big data has become so hyped up, businesses rush into projects without a clear objective in mind. These projects are destined to fail.
  15. 15. THEORETICAL BENEFITS OF BIG DATA ARE COMPELLING: Personalized marketing Enhanced customer experience Competitive edge Make more money!
  16. 16. 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
  17. 17. LACK OF TALENT SIGN 4:
  18. 18. 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.
  19. 19. 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.
  20. 20. CHALLENGING TOOLS SIGN 5:
  21. 21. 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
  22. 22. 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.
  23. 23. 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. COMPARE BIG DATA VENDORS 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/

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