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1 Cut the Clutter, Join the Big Data Wellness Club FIs, Retailers aiming to derive business value from Big Data need to ensure Srinivasagopalan data correctness, Venkataraman timeliness and completeness Bharath Hemachandran Practice Head and Lead Consultant, Big Data Assurance, Wipro Ltd.

2 Table of Contents 03...Cut the Clutter, Join the Big Data Wellness Club 06...About the Author 06...About Wipro Ltd.

3 Cut the Clutter, Join the Big Data Wellness Club John Doe*, Vice President of Fraud Operations of a leading financial services institution, was disappointed with the latest Fraud Resolution report. The effort metrics for detection of fraudulent claims did not show any improvement from the previous report despite assurances from the Analytics team that introduction of Big Data technologies would help reduce these metrics by at least 50%. For an organization that had invested heavily in Big Data technologies, the impact on ROI seemed minimal. To find fixes, John called in a meeting with Rani*, Program Manager of the Analytics program. During the tempestuous meeting that followed, John learned that the Analytics team had not been able to proceed past the pilot stage of the project due to a number of data-related issues. Rani spoke about a whole list of challenges that were preventing her team from achieving their goals. The challenges primarily stemmed from lack of data quality from the source systems, causing issues with data processing. This included non-compliant, inconsistent, inaccurate and untimely data from an unmanageable plethora of sources that ranged from databases to large flat files. Rani s team tried to find a strategy to overcome these difficulties since the issues were getting detected late in the data lifecycle. 3

4 The one thing that was now clear was that the team needed a data assurance strategy to ensure the quality of data that was being pulled into the system was as close to the source as possible. The assurance strategy needed to be comprehensive as well as easy to implement, especially given the volume and variety of data that needed to be tested. Data wellness is critical throughout the Data Analytics lifecycle. However, to ensure this wellness, issues with data such as completeness, correctness, timeliness, etc. need to be captured as close to the source of the data as possible. Ensuring data wellness requires an assurance process based on a Test strategy that expedites the detection and weeding out of bad data in the lifecycle. The Test strategy should also enable the enterprise to dissociate itself from the technology aspect and focus solely on creating value. This would require a methodology that accurately identifies, verifies and validates all the key activities in the data lifecycle. For maximum effectiveness, the methodology would need to be measurable, repeatable and should address various technical and process-related challenges. Retailers, too, are working on ways to wiggle out of data messiness as they cut through the clutter of business complexities. The Chief Data Officer of a leading multi-national retailer, Lucie Hall*, was at a loss to explain to the CEO as to why her team was again not going to deliver the bi-weekly Consumer Behavior Report required by Strategy, and Sales and Marketing teams worldwide. Despite a fruitful recruiting drive where the company had hired the best data scientists and done a successful data integration with various social media platforms, her team could not release the report on time. Lucie was constantly reminded that the company management had spared no expense in setting up a world class infrastructure and the team, and thus expected to see some quick results. As Lucie took stock of the situation, she realized the first key challenge was the exceedingly long time and effort required to ensure data quality and value throughout the data processing lifecycle. Although the team had integrated every data source correctly, the validation of the data at each stage was still performed manually due to the large number of tools used for a particular task. 4

5 The other challenge was the time the team spent in creating, executing and maintaining a suite of scripts and algorithms that did not integrate well with the tools used at various stages of the lifecycle. Furthermore, there was a lack of uniformity in the design and creation of the various scripts and algorithms used to run the entire system, which became a nightmare for the team to manage. Lucie realized that a lack of a holistic assurance approach to data lifecycle management was at the root of all problems. The assurance process required elucidation of an effective Testing strategy to Test both the data and the technology on which work was performed. This required the inception of a robust automation strategy that stitched together the various tools and workflows that were performed by the team. This would not only eliminate inefficiencies within the team, but also would expedite the execution of the report building process. * All characters appearing in this work are fictitious. Any resemblance to real persons, living or dead, is purely coincidental 45

6 About the Author Bharath Hemachandran is Lead Consultant, Business Application Services at Wipro. With over a decade of experience, Bharath is currently working on helping decipher Big Data and working on innovative uses of Artificial Intelligence and Machine Learning in Quality Assurance. He has worked in a variety of technical and management positions in a number of companies around the world. About Wipro Ltd. Wipro Ltd. (NYSE:WIT) is a leading Information Technology, Consulting and Business Process Services 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 a workforce of over 150,000, serving clients in 175+ cities across 6 continents. For more information, please visit 6

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8 DO BUSINESS BETTER CONSULTING SYSTEM INTEGRATION BUSINESS PROCESS SERVICES WIPRO LIMITED, DODDAKANNELLI, SARJAPUR ROAD, BANGALORE , INDIA. TEL : +91 (80) , FAX : +91 (80) , North America Canada Brazil Mexico Argentina United Kingdom Germany France Switzerland Nordic Region Poland Austria Benelux Portugal Romania Africa Middle East India China Japan Philippines Singapore Malaysia South Korea Australia New Zealand WIPRO LTD 2015 No part of this booklet may be reproduced in any form by any electronic or mechanical means (including photocopying, recording and printing) without permission in writing from the publisher, except for reading and browsing via the world wide web. Users are not permitted to mount this booklet on any network server. IND/BRD/OCT 2015 DEC 2016

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