The document discusses how companies often struggle with analytics by overcomplicating their strategies instead of focusing on important insights that drive value for stakeholders. It suggests that simplifying the analytics process through the creation of a data supply chain and using next-gen business intelligence tools can accelerate insight generation leading to faster decision-making. The path to analytics insight is unique for each business and should be approached with an outcome-driven mindset.

1. Harvard Business Review
SIMPLIFY YOUR
ANALYTICS
STRATEGY
BY NARENDRA MULANI
JANUARY 26,
2018

2. PROBLEM
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.
Discovering real business opportunities and
achieving desired outcomes can be elusive.

3. SOLUTION
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. Fast data = fast insight = fast
outcomes.
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.
ACCELERATE
THE DATA

5. DELEGATE THE WORK TO
YOUR ANALYTICS
TECHNOLOGIES.
Next-Gen Business
Intelligence (BI) and
data visualization is
bringing data and
analytics to life to help
companies improve and
optimize their decision-
making and
organizational
performance.
Data discovery can
take place alongside
outcome-specific data
projects. Through the
use of data discovery
techniques, companies
can test and play with
their data to uncover
data patterns that
aren’t clearly evident.
Analytics 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.

6. 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.
RECOGNIZE THAT
EACH PATH TO DATA
INSIGHT IS UNIQUE.
No matter what combination of
culture and technology exists for a
business, each path to analytics
insight should be individually paved
with an outcome-driven mindset.
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.

7. ANALYSIS List the two most (important /
interesting / informative) insights
from this article?
Why and how are these insights
relevant to a manager in India?

8. INSIGHTS
Fast data = fast insight = fast outcomes. By creating a
data supply chain built on a hybrid technology
environment — a data service platform combined with
emerging big data technologies, data can be accelerated.
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.

9. MANAGERIAL RELEVANCE
For a known problem area 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
For a known problem with a
known solution the company
could take a hypothesis-based
approach by starting with the
outcome .

10. THIS PRESENTATION IS
MADE BY AKANKSHI
MODY, DJSCE DURING A
DATA ANALYTICS
INTERNSHIP UNDER
PROF. SAMEER
MATHUR, IIML
THANK
YOU