PANEL:

Analytics Talent Development

Anchored by NASSCOM AIG

Tejas SanghaviFRACTAL

VineetMehtaTARGET

Ravi ShankarINFOSYS BPO

Prof. Chiranjit Mukhopadhyay, IISc

Dr. Rajaram Kudli, PRAJNAN Enterprises

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Analytics Talent Development

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Different companies are at different level of sophistication on analytics use

Spor

adic

Dep

artm

enta

lO

rgan

izat

iona

l In

stitu

tiona

lized

Inst

itutio

naliz

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n of

Ana

lytic

s

Level of Sophistication

Spreadsheets Slice & DiceBI

Predictive AnalyticsOptimization

Machine learningAI

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Demand & Supply for Analytics

46% of organizations cite inadequate staffing or skills for big data analytics – TDWI Research

More than three-fourths of 169 executives surveyed say staffing and training issues are the greatest obstacles to making the most of big data. (Ventana Research)

Universities/Institutions In-house training/grooming

Demand

Supply Huge gap

According to McKinsey Global Institute, by 2018, US would face a shortage of

140,000 to 190,000 deep skilled analysts

1.5 mn managers and analysts

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The Skill Gap

* IDC and Computerworld Survey 2012

• What type of skills are you looking for most over the next 12 months?• How difficult it is to find talent with the following skills

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Who We Are

Our Focus Areas

Our Vision

• Special Interest Group to engage the leadership of various analytics organizations• Build collective capabilities of the Indian analytics industry• Goal is to encourage sharing best practices to steer India towards Analytics

Leadership

2. Developing strategies for creation of Analytics relevant talent pool

3. Positioning of “India Impact of Analytics”

1. Strategies to create awareness for adoption of Analytics in Enterprise

4. Evolve Analytics related capability maturity model

Partner. Solve. Lead. to Strengthen Indian Analytics

Analytics Interest Group

Analytics Interest Group Steering India towards Analytics Leadership

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Evolution of Data Scientists

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Data Scientists

Not just jargons like descriptive, inquisitive, prescriptive, predictive

model.

Insights can come out of simple report as well

Classic T profile with depth in one area breadth in

various other areas

Decision Designers

Asks the right questions, Straddles across business

problems

Ability to look at business problem with a new

perspective

Way Forward

Data scientist is not just math/SAS skill with machine learning. Includes element of Behavioural sciences –

art, music, economics

Adopt & Adapt Best Practices

Change should start within organizations

With internal teamcollaboration

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3 4

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Developing uniform academic interventions for fostering innovation in analytics

• Work with educational institutions as umbrella group

• Standardize analytics course content, assessment criteria to transform managing talent in entry level, mid-level

• Leveraging knowledge gained through open courses

NASSCOM’s Focus Areas : 4

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How Fractal nurtures talent - Analytics Career TrackThe ideal analytics team crosses functions and disciplines

Statistics

Mathematics

Econometrics

Computer science

Anthropology

Consumer behavior

Logic

Sociology

Game theory

Ethnography

Operations research

Electrical engineering Linguistics

Psychology

Artificial intelligence

Graph theory Information design

Cryptography

Market research

Machine learning

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Advancement along the Career Track

Data Science

Beginner

Data manipulation

SQL databases

Logistic/Linearmodeling

Intermediate

Data modeling

NoSQL databases-hadoop, mapReduce

Generalized linearmodeling

Advanced

Machine learning

Text mining

Boosting methods

Optimization

Analytics Consulting

BI Program Management

Big Data Engineering

AdvancedAnalytics

Engineering

Training + Application in projects + Showcase in Contests / Initiatives

United States | United Kingdom | Singapore | Dubai | India

fractalanalytics.com

For further details contact:

®

Fractal Analytics helps Fortune 500 companies understand and engage consumers to inspire loyalty through predictive analytics.

Fractal serves as a strategic partner to market-leading companies by institutionalizing data-driven decisions across the enterprise.

Tejas Sanghavi

tejass@fractalanalytics.com

Community Focused

Volunteer Driven

Knowledge Share

Accelerated Learning

Collective Excellence

Distilled Knowledge

Shared, Non Conflicting Goals

Validation / Brainstorm platform

Mentor, Guide, Coach

Satisfied, Empowered Professional

Richer Industry and Academia

About Information Excellence Group

Progress Information Excellence

Towards an Enriched Profession, Business and Society

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