Companies can get stuck trying to analyze all that’s possible and all that they could do through analytics, when they should be taking that next step of recognizing what’s important and what they should be doing

1. “SIMPLIFY YOUR
ANALYTICS
STRATEGY”
THIS PRESENTATION IS A PART OF
DATA ANALYTICS INTERNSHIP

2. COMPANIES ARE
FACING CHALLENGES….
While the interests in analytics and resulting benefits are
increasing by the day, some businesses are challenged by the
complexity and confusion that analytics can generate.

3. ACCELERATE THE DATA
Fast Data = Fast Insights = Fast
Outcomes

4. ACCELERATE
THE DATA
Liberate and accelerate data by
creating a data supply
chain built on a hybrid technology
environment — a data
service platform combined with
emerging big data
technologies.
Real-time delivery of analytics
speeds up the execution
velocity and improves the service
quality of an
organization.

5. A U . S . b a n k a d o p t e d s u c h a t e c h n o l o g y
e n v i r o n m e n t t o
m o r e e f f i c i e n t l y m a n a g e i n c r e a s i n g d a t a
v o l u m e s f o r i t s
c u s t o m e r a n a l y t i c s p r o j e c t s . A s a r e s u l t , t h e
f i r m
e x p e r i e n c e d i m p r o v e d p r o c e s s i n g t i m e b y
s e v e r a l h o u r s ,
g e n e r a t i n g q u i c k e r i n s i g h t s a n d a f a s t e r
r e a c t i o n t i m e .
AN EXAMPLE:
6

6. DELEGATE THE WORK TO
YOUR ANALYTICS
TECHNOLOGIES.
UNCOVERING DATA
INSIGHTS DOESN’T HAVE TO
BE
DIFFICULT.
01

7. NEXT-GEN BUSINESS
INTELLIGENCE (BI) AND
DATA
VISUALIZATION IS
EXTENSIVELY USEFUL IN
DELEGATING WORK
TO YOUR ANALYTICS
TECHNOLOGIES.
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8. B U S I N E S S I N T E L L I G E N C E

9. N E X T - G E N B I A N D D A T A V I S U A L I Z A T I O N
At its core, next-gen business
intelligence is bringing data
and analytics to life to help
companies improve and
optimize their decision-making
and organizational
performance.

10. DATA DISCOVERY

11. DATA DISCOVERY
Through the use of data discovery
techniques, companies
can test and play with their data to
uncover data patterns
that aren’t clearly evident.
When more insights and patterns are
discovered, more
opportunities to drive value for the
business can be found.

12. Applications can simplify advanced analytics
as they put the power
of analytics easily and elegantly into the
hands of the business user
to make data-driven business decisions.
They can also be industry-specific, flexible,
and tailored to meet the
needs of the individual users across
organizations — from
marketing to finance, and levels from C-suite
to middle
management.
ANALYTICS APPLICATION
CLUSTER WWW.CLUSTER.COM

13. An advanced analytics app
can help a store manager
optimize his inventory and a
CMO could use an app to
optimize the company’s
global marketing spend.
AN
EXAMPLE

14. MACHINE
LEARNING

15. With an influx of big data,
and advances in
processing power, data
science and cognitive
technology, software
intelligence is helping
machines make even
better-informed decisions

16. Recognize that each path to data insight is unique.
The
path to insight doesn’t come in one single form. There
are
many different elements in play, and they are always
changing — business goals, technologies, data types,
data
sources, and then some are in a state of flux.

17. TWO
APPROACHES

18. FOR A KNOWN PROBLEM WITH A
KNOWN SOLUTION — SUCH AS
CUSTOMER SEGMENTATION AND
PROPENSITY MODELING FOR
TARGETED MARKETING CAMPAIGNS
— THE COMPANY COULD TAKE A
HYPOTHESIS-BASED APPROACH BY
STARTING WITH THE OUTCOME
01

19. FOR A KNOWN PROBLEM AREA,
FRAUD FOR EXAMPLE, BUT WITH AN
UNKNOWN SOLUTION, THE
COMPANY COULD TAKE A
DISCOVERY-BASED APPROACH TO
LOOK FOR PATTERNS IN THE DATA TO
FIND INTERESTING CORRELATIONS
THAT MAY BE PREDICTIVE
02

20. SUSHANT KUMAR
NAME
INSTITUTE
EMAIL
IIT KHARAGPUR
sushant20101995@gmail.
com
THANK
YOU