World of Datawhy, who & how ?

prithwis mukerjee, phdprogram 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 time2013 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 ?