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Daniel Sack is a member of BCG X, Boston Consulting Group's tech build and design division. He specializes in building digital products, especially those based on machine learning/AI. Dan is BCG’s Global Data Science Chapter lead, and he leads BCG X in the Nordics. He is a global lead for BCG's Center for Responsible Generative AI, and also coleads BCG X’s Plan AI efforts integrating advanced analytics into end-to-end planning processes.

Dan helped build BCG X’s Delivery Excellence (DevEx) program, a system of processes and governance that ensures each team maintains the highest standards for software code and technical solutions, including Responsible AI.

AREAS OF EXPERTISE

EDUCATION

  • MBA, Stanford Graduate School of Business
  • BE, mechanical engineering, Dartmouth College
  • BA, summa cum laude, mathematics and physics, Colby College

HONORS AND AWARDS

  • Awarded Marston Morse Prize as highest achieving graduate in mathematics, Colby College

Publications and Videos

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Demand Forecasting Evaluation: A Single Metric for Optimal Planning

Whether used for planning sales of mature products in well-known channels or of entirely new products in a pioneering market, demand forecasting adds significant depth to the decision-making process. However, as with all things that concern future events, forecasting brings uncertainty to the planning process.
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E2E Planning: What comes after the Bottleneck Economy?

When supply once again exceeds demand, as it surely will, statistical forecasts trained on constrained-demand data will no longer work. How then will companies accurately forecast the future?
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How Fashion Brands and Retailers Can Build Better Digital Capabilities

Companies that bring technology development in-house will be more adaptive and resilient in the postcrisis period.
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