By definition, “big data” involves large volumes of diverse data sources. Considering all the data that your activities generate and that 99% of this data is irrelevant “noise,” business users and stakeholders have to struggle to understand your company’s status. See how a business perspective on your big, small or just complex data will generate business value.

1. BIG, SMALL
OR JUST
COMPLEX DATA?
A BUSINESS PERSPECTIVE FOR BUSINESS VALUE

2. BIG, SMALL OR JUST COMPLEX DATA?
By definition, “big data” involves large
volumes of diverse data sources.
Considering all the data that your activities
generate and that 99% of this data is
irrelevant “noise,” business users and
stakeholders have to struggle to
understand your company’s status.
Before analyzing and making use of big
data, it needs to be harmonized in a single
environment – which usually means
exorbitant IT costs with no flexibility for
future business development.
1 Working with large volumes of heterogeneous data
can lead to confusion and very high costs.

3. BIG, SMALL OR JUST COMPLEX DATA?
After consolidating the data, you need to
have a specific business goal in mind when
starting to analyze big data. Working in a
results-oriented manner will generate real
benefits.
No goal = no convincing results.
Choosing a business perspective usually
drives successful companies – and it is a
cost-effective solution.
2 Big data is not an end; rather it must be a means to
optimization.

4. BIG, SMALL OR JUST COMPLEX DATA?
The value of big data lies in combining the
small secrets – the details – that may be
found in your customer and other data.
Integration of ALL detailed information
from ALL data sources is key to
implementing actionable results.
It is through analyzing these details that
big data can deliver its true value:
It makes trends and changes visible which
you could not see using aggregate
information.
3 The devil is in the details.

5. BIG, SMALL OR JUST COMPLEX DATA?
Providing actionable decisions will
generate business value.
Use complete data to meet one business
imperative rather than trying to solve ALL
imperatives at once. Starting with a defined
business objective will provide a defined
scope of the analysis and will make use of
the available data, big and/or small. In the
end, your various business priorities will
structure your BIG DATA roadmap.
Business focus will turn all of your
big/small data initiatives into pragmatic
business agility.
4 Start small for an effective big picture.

6. BIG, SMALL OR JUST COMPLEX DATA?
Big Data means complex issues.
Business owners are experts who know
data and its complexity.
They will be able to identify what makes
sense and what does not.
They will help you avoid putting forth a lot
of internal effort (and paying consulting
fees) for no additional business benefits,
thus dramatically reducing the costs of
such initiatives.
Involving business owners and experts will reduce
costs and generate actionable results.5

7. BIG OR SMALL
OR JUST COMPLEX DATA?
Working with large
volumes of
heterogeneous data
can lead to confusion
and very high costs.
Big data is not an end;
rather it must be a
means to
optimization.
Start small for an
effective big picture.
Involving business
owners and experts
will reduce costs and
generate actionable
results.
The devil is in the
details.
1 2
3 4 5

8. LOOKING FOR
BIG DATA ANALYTICS?
SEE ALSO
5 KEYS
TO EASY
BIG DATA
IMPLEMENTATION

9. Looking for
implementing an
Easy Big Data
Solution?
Discover PANORATIO
Big Data as a Service
www.panoratio.com