We already know that Big Data is a big deal, and it’s here to stay. In fact, 65% of companies fear that they risk becoming irrelevant or uncompetitive if they don’t embrace it. But despite the hype surrounding Big Data, companies struggle to make use of the data they collate. Read on to find out what the problems are with big data implementation.

1. Top 5
Problems with
Big Data
(and how to solve them)

2. Finding The Signal In The
Noise
Get insights out of huge lumps of data
is difficult

3. Once intelligence has been done on
the data, sometimes we have to
come back and say we just didn’t
measure this right or measured the
wrong variables because there’s
nothing we can detect here.
Approach Big Data
scientifically. If you fail
at your hypothesis, you
come up with new
hypothesizes, and
maybe one of them
turns out to be correct.

4. Data Silos
Data silos are basically Big Data’s
kryptonite.

5. Data silos store your data in
separate, disparate units, that
have nothing to do with one
another and therefore no insights
can be gathered from this data.
The way to eliminate
data silos? Integrate
your data.

6. Inaccurate Data
Not only are data silos ineffective on an
operational level, they are also fertile
breeding ground for the biggest data
problem: inaccurate data

7. According to a recent report
from Experian Data Quality,
75% of businesses believe
their customer contact
information is incorrect.
The best way to combat
inaccurate data?
Eliminating data silos by
integrating your data.

8. Technology Moves Too Fast
Larger corporations are more prey to
data silos, because decision making
about new technologies is often slow.

9. Even telcos and utilities “…are
noticing high levels of disruption
from new competitors moving in from
other sectors. This issue was
mentioned by over 35% of
respondents in each of these
industries.” In essence, traditional
players are slower to move on
technological advances and are
finding themselves faced with
serious competition from SMEs. The ability to make snap
decisions and quickly
move on Big Data
insights is the advantage
SMEs have over large
corporations.

10. Lack of Skilled Workers
A recent report found that 37% of
companies have trouble finding skilled
data analysists.

11. You need to find employees that not
only understand data from a
scientific perspective, but who also
understand the business and its
customers, and how their data
findings apply directly to them.
Form one common data
analyst team for the
company, either through
re-skilling your current
workers or recruiting
new workers specialized
in big data.

12. Data Integration is Key
 Abolishes data silos
 Establishes data veracity
 Streamlines analytics

13. We see too many people treat (data integration) as an
afterthought—and that leads to security exposure, wasted
resources, untrusted data, and more. We actually think
that you should scope your Big Data architecture with
integration and governance in mind from the very start.”
from “Big Data, Beyond The Hype”
Zikopoulos et al.

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