The Fast Path to Big Data
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The Fast Path to Big Data

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Big Data is more than just a buzzword. It is a proven model for leveraging existing information sources to make smarter, more immediate decisions that result in better business outcomes.

Big Data is more than just a buzzword. It is a proven model for leveraging existing information sources to make smarter, more immediate decisions that result in better business outcomes.

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  • 1. The Fast Path to Big Data Industry Outlook 20121 © 2012 WIPRO LTD | WWW.WIPRO.COM
  • 2. HIGHLIGHTS Leveraging Big Data Template Architectures to Drive Business Outcomes Big Data is more than just a buzzword. It is a proven model for leveraging existing information sources to make smarter, more immediate decisions that result in better business outcomes. Big Data is already being used today by companies across vertical market segments to improve top- and bottom-line performance.2 © 2012 WIPRO LTD | WWW.WIPRO.COM
  • 3. Big Data Drivers & Hurdles A Confusing Insufficient In-House Uncertainty About Technology Expertise ROI Landscape Lack of in-house In the rush to cash in on Many IT organizations experience and expertise Big Data fever, developers find it difficult to prioritize in Big Data technologies and vendors have use cases, project the and their implementation introduced a confusing economic benefits for can greatly delay time-to- array of tools and those use cases, and benefit and add technologies that are often right size their unacceptable risk to the longer on hype than they investments accordingly IT project portfolio are on clarity3 © 2012 WIPRO LTD | WWW.WIPRO.COM
  • 4. A Faster, Surer Path to Big Data Results IT can enhance the speed, certainty and ROI of Big Data initiatives by availing itself of three types of partner resources: 1 A Proven, Configurable Multitier Technology Stack 2 A Flexible, Modular Partner Engagement Model 3 Vertical Market Expertise across the Use-case Life Cycle4 © 2012 WIPRO LTD | WWW.WIPRO.COM
  • 5. Configurable Multitier Technology Stack Big Data implementations essentially require four tiers of technology:  The idea is to standardize the first three of these technology 1. Compute tiers into a platform set that can be leveraged to deliver on Infrastructure any given use case.  This brings predictability to cost and performance outcomes, 2. Data while also providing economies of scale that make each use Management case successively less expensive  Big Data use cases, however, can vary significantly in their 3. Analytics functional attributes.  So, rather than utilizing a single, monolithic stack for every use case, it makes much more sense to define a set of 4. Applications templates and/or configuration parameters for each tier in the stack to accurately and efficiently fulfill varying Big Data requirements This kind of highly configurable technology stack enables companies to avoid the serious problems associated with either treating every use case as a “one-off” project or force-fitting every use case into a “one size fits all” platform.5 © 2012 WIPRO LTD | WWW.WIPRO.COM
  • 6. Modular Partner Engagement Model 1 2 3 4 Companies need the There is no one- Each partner Companies should flexibility to adopt size-fits-all engagement must be seek out a Big Data whatever elements engagement model tightly tailored to partner with a history of their partner’s for optimizing Big whatever specific of engagement with services catalog offer Data ROI shortfalls in internal industry leaders in its real advantages in resources stand between core vertical market terms of ROI, while a company and its still leveraging their technical requirements, existing internal and/or as well as to the cloud resources magnitude of the wherever it makes projected business sense to do so impact of that particular Big Data initiative The right Big Data partner will be able to accommodate all of these approaches with a modular engagement model that empowers companies to choose the right mix of solutions for their immediate and long-term objectives.6 © 2012 WIPRO LTD | WWW.WIPRO.COM
  • 7. Customer Engagement Models A flexible engagement model allows companies to leverage partner, off- the-shelf and vendor capabilities as appropriate, while utilizing their own in-house resources wherever it makes sense to do so.7 © 2012 WIPRO LTD | WWW.WIPRO.COM
  • 8. Critical Outcomes for a Big Data World 1. Rapid, Reliable Discovery of New, High-Impact Business Insights • Big Data has been clearly proven to help companies improve marketing, deliver an enhanced customer experience, drive operational efficiencies and achieve other outcomes that directly affect top- and bottom-line business performance 2. Reduced Technology Implementation & Ownership Costs • The right partner can help companies accomplish this investment reduction on several fronts: by sparing them the ramp-up costs; by rightsizing and/or hosting compute infrastructure; and by ensuring that the end-to-end solution stack is properly architected 3. Repeatable Success • Engagement with the right partner brings consistency and repeatability to successive Big Data deliverables — enabling companies to gain economies of scale, continuously accelerate time-to-benefit and propagate shared Big Data services across the organization8 © 2012 WIPRO LTD | WWW.WIPRO.COM
  • 9. Concluding Thoughts  The effective use of Big Data can mean the difference between market leadership and ‘also-ran’ status for many companies  Big Data will continue to play a more strategic role in enterprise IT. Companies that recognize this reality — and that act on it in a technologically, operationally and economically optimized way — will gain sustainable competitive advantages over those that don’t  Any company pursuing those advantages will substantially benefit by engaging the right Big Data partner9 © 2012 WIPRO LTD | WWW.WIPRO.COM
  • 10. For more details please visit the link below: http://www.wipro.com/Documents/The_Fast_Path_to_Big_D ata.pdf10 © 2012 WIPRO LTD | WWW.WIPRO.COM
  • 11. About Wipro Council for Industry Research Wipro set up the Council for Industry Research, comprised of domain and technology experts from the organization, to address the needs of customers. It specifically surveys innovative strategies that will help customers gain competitive advantage in the market. The Council, in collaboration with leading academic institutions and industry bodies, studies market trends to help equip organizations with insights to facilitate their IT and business strategies. For more information on the Research Council visit www.wipro.com/insights or mail wipro.insights@wipro.com11 © 2012 WIPRO LTD | WWW.WIPRO.COM
  • 12. About Wipro Technologies Wipro Technologies, the global IT business of Wipro Limited (NYSE:WIT) is a leading Information Technology, Consulting and Outsourcing company, that delivers solutions to enable its clients do business better. Wipro Technologies 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 recognised globally for its comprehensive portfolio of services, a practitioner’s approach to delivering innovation and an organization wide commitment to sustainability, Wipro Technologies has over 135,000 employees and clients across 54 countries. For more information, please visit www.wipro.com12 © 2012 WIPRO LTD | WWW.WIPRO.COM
  • 13. Thank You ©Wipro Limited, 2012. 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.13 © 2012 WIPRO LTD | WWW.WIPRO.COM