Rainmakers are not clairvoyant!

What we do

Enhanced business performance through informed decisions


About Us

About Data-by-Choice

We believe deriving real value from data-driven decision making involves applying Analytics to strategic decisions – 10% of the decisions which influence 90% of the outcomes in any organization. We specialize in identifying the key decisions & creating a value road-map for Analytics investments.

Our commitment is to make your data work for you, and facilitate informed decision-making by harnessing the next generation tools, technologies and best practices. We help you to know your customers better, to develop customized relationships, and to service them effectively. We contribute towards your growth by keeping you a step ahead of your competition and several steps closer to your customers.

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At Data-by-Choice, we ensure a dedicated multi-disciplinary team of senior consultants is deployed on every engagement, and each of these teams includes experienced data-scientists and domain experts. To each strategic engagement, we commit direct attention from our co-founders who bring-in decades of research and consulting experience in delivering solutions to Fortune-500 companies across different verticals and functions.

We have strong domain experience across several diverse verticals including FMCG, Retail, E-commerce, Pharma and Life Sciences, Insurance, Banking and Financial Services, Manufacturing, Aerospace, and Automobile.

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Making Analytics Work

The best of business strategy is only as good as – how it is implemented. The same is true for any strategic organizational initiative including SAP…
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Roadmap and Business Case

At Data-by-Choice, we recommend starting-off with a comprehensive due-diligence to work out a road-map for analytics investments.
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Identify actionable insights that make maximum impact on performance the business and provide a strong competitive advantage…
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We are a team of professionals with well-established cumulative track record of over five decades. We add value to our customers by combining our expertise in data science, deep domain knowledge, and ability to leverage technology.

lead1Sudipt Roy, Ph.D.

B.Tech. (IIT KGP), PGP (IIM B), Ph.D. (Washington University)

Sudipt is a quintessential strategy architect who specializes in finding data-driven solutions to business problems. His strength lies in being able to – distill the business challenge; apply appropriate quantitative techniques to the data; draw managerial insights to create actionable business strategies.

As someone who has straddled both industry and academia in his 25 years as a professional, Sudipt draws on his hands-on experience and a researcher’s curiosity towards changing paradigm.

Till recently Sudipt was on the Marketing faculty at the Indian School of Business (ISB), Hyderabad. Prior to joining the academia, he has been a sales and marketing professional for over a decade. He was the SBU Head for a US-based Fortune 200 company, leading a national sales force. Subsequently, he joined the Indian arm of a Swiss consulting company, and advised several large corporations on diverse business challenges.

An alumnus of IIT and IIM, Sudipt has a PhD in Quantitative Marketing from Washington University. He leverages his academic training and business experience to help corporates identify high-impact opportunities and strategize to get the desired results.

Sudipt is an avid trekker and runner, and has channeled this energy towards co-promoting Data-by-Choice.

krshnaKrishna Pera

B.Sc.Engg. (DEI), GDMM(IFPSM), PGP (IIM Bangalore)

Krishna Pera has 25+ years of leadership experience in Consulting, IT, and KPO business entities. In his last assignment, Krishna was the Head of Global Business Services for Singapore listed Olam International, and prior to that he was the Chief-Operating Officer of Murugappa Group owned KPO specializing in digital content solutions. During his career, he has set-up and scaled several business units from scratch including one e-Commerce initiative, and successfully turned around one mid-sized services company.

Krishna has pioneering experience in setting-up and scaling Shared Services Centers (SSC) and Captive ODCs for Fortune-500 companies, including the first-ever in validated-environment, and is a frequent invitee to global conferences on Shared Services. Considered an expert in managing global roll outs of Enterprise Technologies like SAP, Oracle, i2-Supply Chain, Web Methods et.al, besides Six Sigma BB projects and Balanced Scorecard implementations, he worked across different industry verticals.

A strong believer in leveraging technology for transformation of business, Krishna mentors start-ups working on innovative technology products. Krishna builds on his deep understanding in the areas of Strategic Information Life-cycle Management and Business Transformation to co-promote Data-by-Choice.




At Data-by-Choice, we are passionate about building statistical and heuristic models – which are both interactive and can ‘learn as you use’ – i.e., the models become more and more perfect as you continue to use them.


By Capability

While here is a quick summary of our current capabilities, at Data-by-Choice we believe in continuously building on our capabilities in collaboration with our key customers and renowned academicians to co-create solutions that deliver ‘real business value’.
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By Vertical

Any workable solution needs deep industry insights. We deploy a team with in-depth experience to understand the unique features of the industry it is working on, and we adapt our algorithms for the specific nuances to cover all the relevant constraints applicable.
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By Capability

  Enterprise Readiness Assessment for Data-Driven Decision Making

  •   Data-driven decision making practices
  •   Key org. decisions -data sufficiency-availability analysis
  •   Data governance practices
  •   It application portfolio
  •   Data access / Services / Integration layers

  Analytics Road-map and Business Case

  •   Aligning with your strategy map and balanced scorecard
  •   Key strategic / Tactical / Operational Decisions
  •   Data-to-decisions life-cycle assessment
  •   Business value assessment
  •   Analytics initiatives road-map and Business case

  Predictive Analytics Modeling

  •   Data sufficiency / Data sourcing, cleaning and normalization
  •   Algorithm development and model validation
  •   Big-data implementation and roll-outs
  •   Predictive analytics, visualization, EWS, alerts
  •   Analytics usage and business value audit

  Data Life-cycle Management

  •   Developing global data standards and definitions
  •   Data governance set-up
  •   Data retention policy (archiving-retrieval-re-purposing)
  •   Internal and external data requirements analysis
  •   Data acquisition-normalization strategy

By Vertical




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