Deriving Value from Device Data
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Deriving Value from Device Data

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Analytics has helped increase profitability and enhance customer experience. Numerous devices supplement existing enterprise data sources.

Analytics has helped increase profitability and enhance customer experience. Numerous devices supplement existing enterprise data sources.

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    Deriving Value from Device Data Deriving Value from Device Data Presentation Transcript

    • Deriving Value from Device Data 1 © 2014 WIPRO LTD | WWW.WIPRO.COM | CONFIDENTIAL
    • Agenda Device Data: Trends and Relevance Business Model Implications Value Added The Way Forward: 3B Framework Conclusion 2 © 2014 WIPRO LTD | WWW.WIPRO.COM | CONFIDENTIAL
    • Device Data: Trends and Relevance Analytics has helped increase profitability and enhance customer experience Traditional data sources: CRM systems, HR data, historical sales figures, etc. EIU Survey: Machine-generated Data Collection Trends Majority of organizations actively collect device data 51.1 Collect 12.7 Plan to collect Do not collect 29.2 Don't know % of respondents (CXOs) and their attitude towards device data (e.g., sensors, smart grid, RFID, network logs, telematics, etc.)      3 Numerous devices supplement existing enterprise data sources Boeing 737 engine creates 20TB of data per hour in flight Oil rigs generate ~30,000 data points per second This flood of information needs to be transformed into insights Hitherto ignored device data can prove to be a differentiator © 2014 WIPRO LTD | WWW.WIPRO.COM | CONFIDENTIAL 7
    • Business Model Implications Device Data and its Business Potential Telematics Data • Insurance: Pay-asyou-drive insurance • Automobile: Better inventory management • Aerospace: Accurate equipment state assessment Remote Sensing Data • Consumer Electronics: Customer-oriented devices • Logistics, retail, etc.: Better supply chain management • IT departments: More automation Device Logs • Oil & Gas: Better risk mitigation • City planning: Transportation and route optimization  New business line: GPS driven “anytime-anywhere” vehicle servicing  Ancillary business line: New insurance plans based on medical device data  Existing business enhancement: Improving cell phones using network logs 4 © 2014 WIPRO LTD | WWW.WIPRO.COM | CONFIDENTIAL
    • Value Added Device data analytics is beneficial in cases where: • Customer interaction is limited • Data can assist in device maintenance New Revenue Streams Device data can lead to service discovery and increase customer spends E.g., a washing machine manufacturer can offer remote diagnostic services Value Added Cost Reduction Enhanced Customer Experience Real-time data can help fine-tune preventive maintenance schedules of machines E.g., data can help diagnose faults in medical equipment and thus avoid downtime 5 Tracking customer behavior through their devices can help reduce attrition E.g., cable & satellite services that track viewing can customize channel offerings © 2014 WIPRO LTD | WWW.WIPRO.COM | CONFIDENTIAL
    • The Way Forwards: 3B Framework Massive volumes of device data can be capitalized by: • Investment in people, processes and technology • Conscious effort to use it in strategic decision-making • Identify lines of business that will benefit from device data • Develop ROI models Build a Business Case Invest in technologies for: • Data storage and processing • Visualization and predictive analytics • Isolate relevant data sources • Baseline data quality • Ensure adherence to regulations 6 Base-lined Data Processes Best-ofBreed Technology © 2014 WIPRO LTD | WWW.WIPRO.COM | CONFIDENTIAL
    • Conclusion  Tough business problems can be handled using untapped data sources – machinery, sensors, mobile devices, etc.  Sophisticated analytical engines are required to extract value from vast tranches of data  Strong organizational focus is needed to ask the right questions and combine insights from several concurrent data streams. 7 © 2014 WIPRO LTD | WWW.WIPRO.COM | CONFIDENTIAL
    • For more details please visit the link below: http://www.wipro.com/retail-big-data-revolution/docs/Wiproanalytics-leveraging-device-data-analytics.pdf 8 © 2014 WIPRO LTD | WWW.WIPRO.COM | CONFIDENTIAL
    • About Wipro Wipro Ltd. (NYSE:WIT) is a leading Information Technology, Consulting and Outsourcing company that delivers solutions to enable its clients do business better. Wipro delivers winning business outcomes through its deep industry experience and a 360 degree view of "Business through Technology"; helping clients create successful and adaptive businesses. A company recognized globally for its comprehensive portfolio of services, a practitioner's approach to delivering innovation and an organization wide commitment to sustainability; Wipro has over 140,000 employees and clients across 61 countries. For more information, please visit www.wipro.com 9 © 2014 WIPRO LTD | WWW.WIPRO.COM | CONFIDENTIAL
    • Thank You ©Wipro Limited, 2014. All rights reserved. For more information visit www.wipro.com No part of this document may be reproduced in whole or in part without the written permission of the authors. Wipro is not liable for any business outcome based on the views presented in this document. For specific implementation clients should take advise from their client engagement manager. 10 © 2014 WIPRO LTD | WWW.WIPRO.COM | CONFIDENTIAL