This presentation is a part of my Data Analytics internship under the guidance of Prof. Sameer Mathur, IIM Lucknow.

1. Rashik Parmar, Ian Mackenzie,
David Cohn and David Gann

2.  WITH THE GROWTH OF TECHNOLOGIES
SUCH AS BIG DATA ANAD IOT, THE
DEMAND TO INNOVATE IS VERY HIGH.
 GOOD COMPANIES FIND IT DIFFICULT TO
ADOPT NEW WAYS TO IMPROVIZE AND
MAKE MONEY, MAKING THEM MORE
PRONE TO CHALLENGES

4. Innovation application of better solutions that meet
new requirements, unarticulated needs, or existing
market needs. This is accomplished through more
effective products, processes, services, technologies,
or business models that are readily available
to markets, governments and society.

5. How can we create value for customers
using data and analytics tools we own
or could have access to?

6. PATTERN 1
AUGMENTING PRODUCTS TO GENERATE
DATA
Collect data and enhance business activities.

7. PATTERN 2
DIGITIZE ASSETS
If you don’t digitize your assets, they will
become liabilities overtime.

9. PATTERN 3
COMBINING DATA WITHIN AND ACROSS
INDUSTRIESData integration involves combining data from several
disparate sources, which are stored using various
technologies and provides a unified view of the data

10. PATTERN 4
TRADE DATA
Company whose information is valuable to another company sells it, as when a
cell phone service identifies traffic jams by seeing where customers in cars are
slowed down and shares the information with a navigation-device company

12. PATTERN 5
CODIFYING A CAPABILITY
Any process that is best-in-class but not central to a company’s competitive
advantage can thus be turned into a profitable business

14.  An Indian manager must keep in mind to
involve people at the higher levels to give
their expertise knowledge for a smooth
transformation.
 More innovative ventures are disruptive
rather than sustaining. So a leadership can
overcome obstacles set by the established
culture.

15. Created By: Vishal Agarwal , IIIT Bhubaneswar during a Data
Analytics internship by Prof. Sameer Mathur, IIM Lucknow