This document discusses how companies can make advanced analytics work for them. It outlines that fully exploiting data and analytics requires three capabilities: identifying and managing multiple data sources, building advanced analytics models, and transforming the organization so data and models yield better decisions. Two key features are having a clear strategy for how to use data/analytics to compete and deploying the right technology. The document provides three areas of action for organizational change: developing business-relevant analytics, embedding analytics into front-line tools, and developing capabilities to exploit big data. Managers need to understand how information can be used for key decisions and get creative about potential external/new data sources through targeted efforts.

1. An analysis of
Making Advanced
Analytics Work for
You
by Dominic Barton
and David Court

2. OVERVIEW
• Big data and analytics have rocketed
to the top of the corporate agenda.
• Big data could transform the way
companies do business.
• As data-driven strategies take hold,
they will become an increasingly
important point of competitive
differentiation.

3. • Most companies are unsure
how to proceed.
• Leaders are understandably
leery of making substantial
investments in big data and
advanced analytics.
• They’re convinced that their
organizations simply aren’t
EVEN SO….

4. INSIGHTS

5. Fully exploiting data and
analytics requires three
mutually supportive
capabilities…

6. First, companies must be able to identify,
combine, and manage multiple sources
of data.
Second, they need the capability to build
advanced analytics models for predicting
and optimizing outcomes.
Third, and most critical, management
must possess the muscle to transform
the organization so that the data and
models actually yield better decisions.

7. Two important features underpin
those activities:
• a clear strategy for how to use
data and analytics to compete
• deployment of the right
technology architecture and
capabilities.

8. Using big data requires
thoughtful organizational
change, and three areas of
action can get you there…

9. • Develop business-relevant
analytics that can be put to use.
• Embed analytics into simple tools
for the front lines.
• Develop capabilities to exploit big
data.

10. MANAGERIAL
RELEVANCE
• Often companies already have
the data they need to tackle
business problems , managers
need to know how the
information can be used for key
decisions.

11. • Managers also need to get
creative about the potential of
external and new sources of
data.
• Managers should concentrate on
targeted efforts to source data,
build models, and transform the
organizational culture. Such
efforts will play a part in
maintaining flexibility.

12. THANK YOU!!
By-
Tanya Gupta
Hindu College