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Rash Gandhi is a core member of Boston Consulting Group's Technology Advantage practice who specializes in data and digital architectures and technologies. He has expertise in defining business-aligned IT strategies and architectures, mostly in the energy, travel, and tourism; banking; and insurance sectors. Rash also leads data-driven digital transformations in industries including energy, travel, and tourism; automotive; retail, industrial goods; insurance; and financial institutions—focusing on technology strategy, and data/IT organization capability-building.

Rash works with clients on the transformation of application development and maintenance functions and performing technical health checks and reviews to de-risk programs.

Before joining the firm, Rash worked at IBM on key technology topics such as enterprise and IT architecture, and cloud.

AREAS OF EXPERTISE

EDUCATION

  • BSc, Computer Science, Wolverhampton University

HONORS AND AWARDS

  • WESA region senior expert of the year, 2019

Publications and Videos

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Beethoven, Schubert, and Bank Technology Modernization

Most banks know what their technology landscape needs to look like. The question is how to execute a transformation without stalling business development for three years or more.
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Big Oil, Big Data, Big Value

To get the most from digital, energy companies need a central platform that includes a data warehouse, a data lake, or both.
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Building New Data Engines for Insurers

The best engines cover the entire data life cycle—from sourcing and analysis to integration into decision making.
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Metadata Isn’t Just for Techies Anymore

Metadata has long been viewed as a secret language for the folks in IT. But when technical, business, and operational perspectives are combined, metadata speaks volumes and drives value.
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Taking the Risk Out of Digital Projects

Agile is powerful, but it isn’t suitable for every digital project. If the company’s technology architecture isn’t decoupled, or if project dependencies are high, a hybrid approach makes sense.
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Look Before You Leap into the Data Lake

Data lakes are inviting. Nimble and flexible, they can optimize big data. To use them well, organizations must understand their strengths and limitations and implement them wisely.