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© Copyright 2014 WNS (Holdings) Ltd. All rights reserved
The Need for a Chief Data Scientist
Nasscom Roundtable in Partner...
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From t...
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New Ag...
3© Copyright 2013 WNS (Holdings) Ltd. All rights reserved3 © Copyright 2014 WNS (Holdings) Ltd. All rights reserved
Data a...
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Growth...
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… The ...
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Roundt...
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OUTPER...
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NASSCOM Big Data and Analytics Summit 2014 - The Need for a Chief Data Scientist - Keshav Murugesh, WNS

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Presentations by Keshav Murugesh, Group CEO, WNS Global Services at NASSCOM Big Data and Analytics Summit 2014.

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  • The community manager as the brand ambassador on own community or envoy to other communities

    Key roles:
    Post campaigns as per calendar schedule
    Moderate community- neutral, no positions
    Enforce social rules, manage trolls- keep the community productive
    Ensure clients social contract is maintained- responsiveness vs moderation
    Build community, keep the balance of archetypes- nurturers, enforcers, followers
    Reward community members as per guidelines

    Will need guidance on
    Social platforms for deployment, client position
    Social contract- responsiveness
    Defined outcomes to go after, measure and report
    Support from SMEs
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  • Transcript of "NASSCOM Big Data and Analytics Summit 2014 - The Need for a Chief Data Scientist - Keshav Murugesh, WNS"

    1. 1. © Copyright 2014 WNS (Holdings) Ltd. All rights reserved The Need for a Chief Data Scientist Nasscom Roundtable in Partnership with WNS
    2. 2. 1© Copyright 2013 WNS (Holdings) Ltd. All rights reserved1 © Copyright 2014 WNS (Holdings) Ltd. All rights reserved From the Thought Leaders “From the dawn of civilization until 2003, humankind generated five exabytes of data. Now we produce five exabytes every two days… and the pace is accelerating.” – Eric Schmidt, Google
    3. 3. 2© Copyright 2013 WNS (Holdings) Ltd. All rights reserved2 © Copyright 2014 WNS (Holdings) Ltd. All rights reserved New Age and Unstructured DataEvolutionary and Semi Structured DataTraditional and Structured Data Rising Complexity of Data and Information Has Myriad Applications to Enterprise-wide Functions CRM ERP Credit Internal Knowledge Behavior Interaction Social Price and Promo Supply Chain Relationship Tagging &Indexing Geo spatial Business Applications and Operational excellence  Prospect Identification  Cross-sell and Up-sell  Campaign management  Product Mix Strategy Marketing and Sales  Risk Profiling  Default Prediction  Fraud Detection Finance and Control  Reducing AHT  Improving CSAT  Improving FCR  Optimizing Response Operations  Sourcing  Attrition Management  Succession Planning  Benchmarking Human Resources  Market positioning  Pricing  Competitive Study  Growth Strategy Strategy
    4. 4. 3© Copyright 2013 WNS (Holdings) Ltd. All rights reserved3 © Copyright 2014 WNS (Holdings) Ltd. All rights reserved Data and Analytics Drive the Innovation Quotient of Companies & Solve Complex Challenges Sample of Problems Being Solved across Industries  Promotional effectiveness  Strategic segmentation  Price and Inventory Optimization  Contact optimization  Wallet share forecasting  Acquisition and retention targeting  Physician profiling / call planning, sales force size and structure  Product and portfolio analysis  Pricing  Drug pipeline forecasting  Therapy area research and forecasting  Global market opportunities  Consumer and shopper insights  Customized syndicated tools and solutions  Brand and portfolio analysis  Go-to-market strategies  Actuarial pricing and reserving  Agent / producer analytics  Fraud and recoveries analytics  Campaign / promotional effectiveness  Acquisition and retention targeting Analytical Services Provided Personal Life / P&C and Group Insurers Consumer Packaged Goods Pharma- ceuticals Travel & Hospitality Analytics Facilitates Innovation Sixty-one percent of our respondents somewhat or strongly agree that analytics has improved their organizations’ ability to innovate. Analytical Innovators Tend to Use More Data A substantial majority of Analytical Innovators say they tend to use much or all of the data their organizations generate. 45% 16% 4% 10% 25% Somewhat agree Strongly agree Strongly disagree Somewhat disagree Neither To what extent do you agree with the following statement? “Analytics has helped improve my organization’s ability to innovate.” How much of the data that is generated by your organization does your organization use? 20% 27% 43% 53% 63%4% 2% 3% 4% 9% Level 1 Level 2 Level 3 Level 4 Level 5 All of it A great deal Analytical Innovators
    5. 5. 4© Copyright 2013 WNS (Holdings) Ltd. All rights reserved4 © Copyright 2014 WNS (Holdings) Ltd. All rights reserved Growth of the Analytics Industry Will Be 30% on Account of the Rising Need for Data-based Decision Making  75-80% of the analytics BPS work is delivered from India; high-end work may need greater degree of onshore presence  The key adoption drivers are cost reduction, top-line growth and risk management  However, low understanding, governance-related issues, cross functional stakeholder management, and inconsistent / absent data are few challenges associated with the analytics adoption Global Analytics BPS Industry Size ($ B) Analytics BPS Adoption by Geography – 2012 Analytics BPS Adoption by Industry – 2012 (in %) 0.7-1.2 1.5-2.0 3.5-4.0 2010 2012 2015E 70-75% 20-25% 5-10% <5% North America EMEA APAC Latin America 38 20 8 7 7 6 6 8 CPG & Retail BFSI Telecom Healthcare Manufacturing Professional Services Media Others Source: Everest Group; BPS – Business Process Services  By 2015, more than 50% of the Fortune companies will have a Chief Data Officer / Chief Analytics Officer / Chief Data Scientist  Around 85% of the Fortune companies have identified data and analytics as a key corporate asset and are planning strategies around the same
    6. 6. 5© Copyright 2013 WNS (Holdings) Ltd. All rights reserved5 © Copyright 2014 WNS (Holdings) Ltd. All rights reserved … The Need for a Chief Data Scientist is Imminent Strategic Partner for Business and Operations Data Strategies for Organization Transformation Technology Evangelist Innovation Leader Chief Data Scientist / Analytics Officer
    7. 7. 6© Copyright 2013 WNS (Holdings) Ltd. All rights reserved6 © Copyright 2014 WNS (Holdings) Ltd. All rights reserved Roundtable Discussion Will the exponential proliferation of data and complexities in synthesizing and analyzing it require a handle of big data, technology and specific skill-sets in organizations?? Will organization structures world-over change to accommodate this new behemoth called Analytics that has emerged as a core differentiator?? What kind of talent and skill-sets will be competent to cater to the evolution of analytical functions?? How ready are we for the future of analytics, as academia and the BPM industry? ? What do you believe will be the role of the data scientist and who do you think he / she would have to liaise with??
    8. 8. 7© Copyright 2013 WNS (Holdings) Ltd. All rights reserved7 © Copyright 2014 WNS (Holdings) Ltd. All rights reserved OUTPERFORM with WNS This presentation and any files attached and/or transmitted with it are confidential and intended solely for the use of the individual or entity to whom they are addressed. No part of this presentation may be given, lent, resold, or disclosed to any unintended recipients or exploited for any commercial purposes. If you are not the intended recipient and you have received this presentation in error, please return this material to the sender immediately and forthwith delete and destroy the presentation including any copies thereof from your records. We hereby notify that disclosing, distributing, copying, reproducing, storing in a retrieval system, or transmitting in any form or by any means, electronic, mechanical, photocopying, recording, or otherwise, or taking any action in reliance on the contents of the presentation in its entirety or any part thereof is strictly prohibited without the prior written consent of WNS, such consent being given at the sole discretion of WNS. Any views or opinion expressed in this presentation are those of the author and do not necessarily represent that of WNS. WNS makes no representations and to the full extent permissible by applicable law, WNS disclaims any warranties of any kind, express or implied, including any warranty of merchantability, accuracy, fitness or applicability for a particular purpose, and non-infringement of third party rights, as to the information, content and materials. wns.com
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