This document discusses the importance of effectively communicating data and insights from data analysis. It notes that data is worthless if not communicated, and that research findings will not speak for themselves and need to be disseminated through various outlets. Some key ways to communicate about data analysis projects are outlined, including understanding the business problem, measuring impact, available data, hypotheses, solutions, and impact of solutions. The document stresses that audiences care most about results and implications, so the communication should tell a good story with the data. Managers especially need to better understand and communicate quantitative analysis and what the numbers mean.

1. REVIEW ON THE ARTICLE-
DATA IS WORTHLESS
IF YOU
DON’T COMMUNICATE IT

2. IMPORTANCE OF COMMUNICATING DATA
We can totally imagine the paradigm shift that can be
brought into an organisation if this data is effectively
communicated!

3. Never make the mistake of
assuming that the results will
“speak for themselves.”

5. Gottman and his wife Julie
founded a non-profit research
institute and a for-profit
organization to apply the
results through books, DVDs,
workshops, and therapist
training. They’ve influenced
exponentially more marriages
through these outlets than
they could possibly ever have
done in their own clinic — or if
they’d just issued a press
release with their findings.

6. EFFECTIVE WAYS FOR DATA
COMMUNICATION
If you’re going to spend the better
part of a decade on a research
project, also put some time and
effort into disseminating your
results.

8. A simple framework for communicating about each
analysis:
1. Understanding of the business problem.
2. How to measure the business impact?
3. What data is available?
4. The initial solution hypothesis.
5. The solution.
6. The business impact of the solution.

10. Most audiences neither understand nor
appreciate those details; they care about
results and implications.
The key to successful communication lies
within telling a good story with your data —
starting with what your audience really
needs to know.

11. MANAGERIAL ASPECT
There is a pressing need for more businesspeople who
can think quantitatively and make decisions based on
data and analysis, and businesspeople who can do so
will become increasingly valuable.
According to a McKinsey Global Institute report on big
data, we’ll need over 1.5 million more data-savvy
managers to take advantage of all the data we generate.

13. Managers do not need to become quant jocks.
They need to become better consumers of data,
with a better appreciation of quantitative analysis
and — just as important — an ability to
communicate what the numbers mean.

14. Effective
communication is the
key.
Learn to tell a good
story with your data.

15. THANK YOU
BY- TANAY KARNIK