Published on February 14, 2014
PANEL: Tejas Sanghavi FRACTAL Vineet Mehta TARGET Ravi Shankar INFOSYS BPO Analytics Talent Development Anchored by NASSCOM AIG Prof. Chiranjit Mukhopadhyay, IISc Dr. Rajaram Kudli, PRAJNAN Enterprises
Analytics Talent Development 1
Organizational Departmental Sporadic Institutionalization of Analytics Institutionalized Different companies are at different level of sophistication on analytics use Spreadsheets Slice & Dice BI Predictive Analytics Optimization Machine learning AI Level of Sophistication 2
Demand & Supply for Analytics 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 Demand Supply 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 Huge gap 3
The Skill Gap • • 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 * IDC and Computerworld Survey 2012 4
Analytics Interest Group Steering India towards Analytics Leadership Who We Are Our Focus Areas • 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 1. Strategies to create awareness for adoption of Analytics in Enterprise 2. Developing strategies for creation of Analytics relevant talent pool 3. Positioning of “India Impact of Analytics” 4. Evolve Analytics related capability maturity model Our Vision Analytics Interest Group Partner. Solve. Lead. to Strengthen Indian Analytics 5
Evolution of Data Scientists Data Scientists Not just jargons like descriptive, inquisitive, prescriptive, predictive model. Insights can come out of simple report as well Decision Designers Way Forward Asks the right questions, Straddles across business problems Data scientist is not just math/SAS skill with machine learning. Includes element of Behavioural sciences – art, music, economics Ability to look at business problem with a new perspective 3 Adopt & Adapt Best Practices Change should start within organizations With internal team collaboration 4 Classic T profile with depth in one area breadth in various other areas 2 1 6
Developing uniform academic interventions for fostering innovation in analytics NASSCOM’s Focus Areas : 4 • 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 7
How Fractal nurtures talent - Analytics Career Track The ideal analytics team crosses functions and disciplines Statistics Sociology Ethnography Artificial intelligence Machine learning Mathematics Anthropology Game theory Graph theory Information design Econometrics Logic Operations research Psychology Market research Computer science Consumer behavior Electrical engineering Linguistics Cryptography 8
Advancement along the Career Track Analytics Consulting BI Program Management Advanced Analytics Big Data Engineering Data Science Advanced Intermediate Machine learning Text mining Beginner Data manipulation SQL databases Data modeling Boosting methods NoSQL databaseshadoop, mapReduce Optimization Generalized linear modeling Logistic/Linear modeling Training + Application in projects + Showcase in Contests / Initiatives Engineering 9
® 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. fractalanalytics.com United States | United Kingdom | Singapore | Dubai | India For further details contact: Tejas Sanghavi email@example.com
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