Where will BI and Search Engines Converge?

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Information about Where will BI and Search Engines Converge?

Published on March 4, 2014

Author: wiprotechnologies

Source: slideshare.net


Search tools can help in structuring enterprise data which can then yield actionable business intelligence.
Vast majority of data is unstructured and users can only run naïve searches.
Combining search with BI can make entirely new business discoveries possible.

Where will BI and Search Engines Converge? Bringing BI closer to the masses 1 © 2014 WIPRO LTD | WWW.WIPRO.COM | CONFIDENTIAL

HIGHLIGHTS Business Intelligence and Search Engines The rise of Unified Information Access (UIA) Search tools can help in structuring enterprise data which can then yield actionable business intelligence Vast majority of data is unstructured and users can only run naïve searches. Combining search with BI can make entirely new business discoveries possible. 2 © 2014 WIPRO LTD | WWW.WIPRO.COM | CONFIDENTIAL

Introduction Only 5% of enterprise data is structured and can be used to deliver Business Intelligence Boom in Big Data  Massive growth in range and type of data  Only 12% of business leaders effectively use data Unified Information Access  Combines all types of data  Simple interface outputs actionable BI UIA Better Search Tools  Opens up BI to a larger user base Rise of BI  Help skim unstructured data using natural language queries  Spending on enterprise search is stagnant 3  BI spending to rise from $13.8bil in 2013 to $17.1bil in 2016  Highly complex, can only use structured data © 2014 WIPRO LTD | WWW.WIPRO.COM | CONFIDENTIAL

The Next Step: UIA Unified Information Access (UIA) Business Intelligence Search Evolution 4 Data Sources Interface Output • Rapidly evolving • Sorts unstructured data • Output can feed into BI systems • Documents • Audio/video recordings • Social media • Text box • Filters – date, location, language, etc. • Ranked results • No analytics used • Evolved to serve reporting needs • Sophisticated queries addressed by: – Online Analytical Processing (OLAP) – Multidimensional Databases (MDDB) Structured data from transaction, production and ERP systems Complex hierarchical interface meant for power users • Reports and dashboards • Analytics used to help improve visualization • Best of both worlds. • Simple interface for mass appeal • Powerful analytics to yield new insights All types of data Interface comprises simple queries and field searches Customized mix of summaries and dashboards © 2014 WIPRO LTD | WWW.WIPRO.COM | CONFIDENTIAL

Implementing Convergence • • • Fuse BI and Search into one platform that parses structured as well as unstructured data Sectors conducive to UIA: financial services, retail, telecom, legal Examples of convergence: Endeca, acquired by Oracle; FAST, a Microsoft subsidiary Four-fold approach towards implementing convergence 1. Build the case • What will convergence solve? 2. Bridge silos • What is ROI? Merge teams that manage structured and unstructured data 4. Reengineer information architecture • Change approach to search, indexing, taxonomy, DBMS • Ensure availability of BI and Search skills. • Use new models to design applications 5 3. Nurture skills • Train people with both skillsets © 2014 WIPRO LTD | WWW.WIPRO.COM | CONFIDENTIAL

Conclusion • • UIA – bringing BI to the masses – Data exploration and analysis will no longer be limited to power users – Intuitive visualization techniques for both structured and unstructured data • 6 Convergence is the next step – Considerable evidence to suggest that BI and Search will indeed converge – Driven by growth in big data and in search and BI technologies UIA – bringing businesses closer to customers – Better management of free form customer feedback (letters, calls, emails, etc.) – Automated knowledge acquisition will help gauge customer needs and sentiments in a better manner. © 2014 WIPRO LTD | WWW.WIPRO.COM | CONFIDENTIAL

For more details please visit the link below: http://www.wipro.com/documents/where-will-BI-and-searchengines-converge.pdf 7 © 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 8 © 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. 9 © 2014 WIPRO LTD | WWW.WIPRO.COM | CONFIDENTIAL

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