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An effective big data approach is no longer just the responsibility of IT; the entire business must undergo transformation. Elias Baltassis discusses how BCG can help companies define their data vision and strategy—and discover value-creating change.

Elias Baltassis specializes in artificial intelligence and data and analytics at Boston Consulting Group. He is a core member of the Technology Advantage practice and of BCG X, the firm's tech build and design unit.

Elias leads analytics and AI projects across many industries and functions, and regularly works in areas such as data strategy, data governance, and data regulation. He works with clients in several European countries and the US. 

Elias has published numerous articles on these topics and is a regular speaker at leading AI industry events and conferences. He is also a lecturer at INSEAD on the topic “AI in Business.” 

Elias has more than 20 years of experience in quantitative and data-driven topics. Prior to joining BCG, he was a founding member and managing director of Opera Solutions, a leading global pure-player in data and analytics. Prior to that, he was a Partner with Bain & Co.

AREAS OF EXPERTISE

EDUCATION

  • MBA, INSEAD
  • Master’s degree, applied mathematics and computer sciences, Swiss Federal Institute of Technology (EPFL)
  • Bachelor’s degree, economics and econometrics, University of Fribourg

Publications and Videos

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Leaders in Data and AI Are Racing Away from the Pack

Top companies have adopted and scaled four times more data and AI use cases across their businesses than laggards, and the average financial impact is five times greater.
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Middle East Companies’ Ambitions Need a Step-Change in Data Maturity

Middle East companies have ambitious plans to meet their mid-term targets and bolster their data maturity capabilities.
Is Your Company Gaining Momentum in Data?

Is Your Company Gaining Momentum in Data?

Data is increasingly valuable, yet some organizations lack the capabilities to capitalize on it. A key first step is setting realistic ambitions to improve data maturity.
Are You Overestimating Your Responsible AI Maturity

Are You Overestimating Your Responsible AI Maturity?

In BCG’s latest survey, 55% of the organizations are less advanced than they believe.
Responsible AI Builds Trust in Government

Responsible AI Builds Trust in Government

To earn the public’s support, government use of advanced analytics must include stakeholder input, proper controls, regular reviews, and contingency plans for lapses.
Six Steps to Bridge the Responsible AI Gap

Six Steps to Bridge the Responsible AI Gap

Principles abound for socially responsible artificial intelligence. Here’s how to put them into action.
A Show-Don’t-Tell Approach to Data Governance - Rectangle

A Show-Don’t-Tell Approach to Data Governance

The better your data quality, the better you can solve problems, seize opportunities, and generate value. Here’s how to get that good data fast.
A Rough Road to Data Maturity - Rectangle

A Rough Road to Data Maturity

As companies accelerate efforts to become data-driven organizations, some are hitting bumps in the road, forcing them to slow down.
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Good Data Starts with Great Governance

To win in the data race, companies need focused data structures, policies, and tools and a target operating model.
Bridging the Trust Gap in Personal Data - Rectangle

Bridging the Trust Gap in Personal Data

How well companies manage their use of consumers’ personal data can spell the difference between failing and flourishing.
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Leveraging GDPR to Become a Trusted Data Steward

The EU’s General Data Protection Regulation establishes new standards for handling customer data, increasing both the challenge and the rewards of proactively earning consumers’ trust.
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Bridging the Trust Gap: How to Become a Trusted Data Steward

Consumer distrust will cost you. But companies that establish best practices regarding data use can avoid brand damage and lost revenue—and capture the upside potential that comes with winning consumers’ trust.