World of Data
why, who & how ?
prithwis mukerjee, phd
program director, business analytics

"In God we trust, everyone else
brings Data to the table"
Data Driven
Management has
given birth to
tools and
techniques that
allow managers
to drill down to
the root of the
issue at hand
• Electronic Data
Processing
• Operations Research
• Management
Information Systems
• Relational Databases
• ERP
• Data Warehousing

Interpretation & Abstraction
Data
Information
Knowledge
Insight
Wisdom

Breaking news : from TV to 3V
Volume
Velocity
Variety

Mapping Twitter Sentiments
http://www.sgi.com/go/twitter/?/#heatmaps

Twitter in the Stock Market
http://socialmediatoday.com/leaderswest/1417691/how-twitter-affects-stock-market-infographic

Text Analytics for IP Management

2013 Trends in Analytics
1.Customer Analytics: Personalized, cross-channel, customer-driven
analytics will drive new focus on delivering individualized, personalized
digital experiences
2.Mobile Analytics. Increased use of mobile will drive requirement for
analytics applied to mobile generated data
3.Social and Textual Analytics. Moving beyond batch listening,
Social Business Managers want to be able to analyze social conversations
and influencer networks in real time.
4.Predictive Analytics: New innovative applications of advanced
algorithms and modeling techniques will advance the science of predictive
analytics.
5.Real-Time Analytics. As decision makers get a taste for what can
be done, they will want that information faster…..and eventually in real time
2013 HorizonWatching trend report - Creative Commons Attribution License

2013 Trends in Analytics
6.Interest Grows in Data Visualization: Enterprises learn that
managing and extracting insights from Big Data is not enough…you need to
be able to display the insights for decision makers.
7.Self- Service. Decision makers will increasingly want access to simple
to use analytic tools that provide visualization rich output. Oh….and they
want that output on their tablet.
8.Hadoop matures. Hadoop functionality improves and CIOs begin to
consider it for mission critical applications
9.Data Scientists: There will be a rush to hire skilled Big Data
Scientists, often via services like Kaggle.
10.Education and Training: Big Data & Analytic Services firms will
offer extensive training and certification programs to try to help fill the
shortages of skilled Data Scientists.

The Rise of the Data Scientist 2013
“A data scientist is someone
who can understand the
desired business outcome,
examine the data, and
create hypotheses about
how to establish predictive
rules that can enable
business outcomes such as
increasing eCommerce
upsell, keeping a production
line running, or eliminating
stock-outs” – Forrester
Harvard Business Review - October 2012

Business Analytics Program
Techniques : Statistics,
Econometrics, Dimensional
modelling, Map Reduce,
Tools : SQL, R, SAS, Data
warehousing, Data Mining,
Hadoop, Visualisation
Business : Domain knowledge
( retail, telecom, finance )
Enterprise Performance
Management, Business
Communication
9 month full time
program at Praxis
campus
+
3 months industry
internship followed
by placement
services

Questions ?