businesses are challenged by the complexity and confusion that analytics can generate. 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 — for their customers, stakeholders, and employees.

1. SIMPLIFY YOUR
ANALYTICS
STRATGY
BY NARENDRA MULANI

2. INTRODUCTION
Companies can get stuck trying to analyze all that’s possible
and all that they could do throughompa analytics, when they
should be taking that next step of recognizing what’s
important and what they should be doing — for their
customers, stakeholders, and employees.

3. SOLUTION OF PROBLEM
MENTIONED
To overcome this, companies should pursue a simpler path
to uncovering the insight in their data and making insight-
driven decisions that add value. Following are steps that we
have seen work in a number of companies to simplify their
analytics strategy and generate insight that leads to real
outcomes:

4. How to accelerate data?
Fast data = fast insight = fast outcomes.
Liberate and accelerate data by creating a
data supply chain built on a hybrid
technology environment.

5. Insight first
Uncovering data insights doesn’t have to be
difficult.

6. Ways to delegate:
Next-Gen Business Intelligence (BI) and data
visualization. At its core, next-gen business
intelligence is bringing data and analytics to
life to help companies improve and optimize
their decision-making.

7. Data discovery. Data discovery can take
place alongside outcome-specific data
projects.The use of data discovery
techniques, companies can test and play with
their data to uncover data patterns that aren’t
clearly evident.

8. Insight Second
Recognize that each path to data
insight is unique.

9. How to recognise?
The path to insight doesn’t come in one
single form. There are many different
elements in play, and they are always
changing :

10. Business goals, technologies, data
types, data sources, and then some
are in a state of flux.

11. Another component:
Another main component of a company’s
analytics journey depends on the company’s
culture itself: is it more conservative

12. Another Insight:
Once insights are uncovered, the next step is
for the business, of course, to make the data-
driven decisions that place action behind the
data.

13. THANK-YOU
by:
ASHUTOSH KUMAR