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

1. THE CHALLENGES OF
Challenges of
using big data:
Top 5 Challenges
Facing 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.
BIG
DATA
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 of
duration:
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.
www.cmsitservices.com