the challenges of big data

THE CHALLENGES OF

Challenges ofusing big data:

Top 5 ChallengesFacing Big Data

Startups in 2015

Companies with big data experience are overwhelmingly satisfied with business outcomes. But organizations need to address several challenges related to visualization and big data.

BIGDATA

51%

45%

42%

39%

29% 41%

37%

47%

35%

51% Lack of sharing, an obstacle to

measuring marketing ROI

Not using data effectively to personalize marketing

communication

Not able to link data together

Data collected too infrequently or not quickly enough

Less or no user data Lack of talent to implement

Lack of talent to run

Budget constraint

Integration with existing systems

Security issue

1. Lack of clarity:

2. Talent Gap:

3. The cost of talent

4. Uncertainty ofduration:

5. Big competition

• 6 out of 10 IT

decision-makers expect their

organizations to spend more

on big data initiatives in 2015.

• Only 5 percent

anticipating any type of

budget decrease.

• Some 71 percent of

businesses and IT

organizations consider

themselves either average or

lagging when it comes to

leveraging data.

• 60 percent of big-data

projects will fail to go beyond

piloting and experimentation

and will be abandoned by

2017.• Big data predicted to hit $125

billion in 2015, startups

aren’t alone; they face brutal

competition from billion-dollar

legacy companies.

• Market will be short 1.7 million capable big data

professionals by 2018

• About the same time that data

market is set to be worth

$41.5 billion.

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