Governed AI assurance
Built and deployed a multimodal decision-assurance application for a large international bank, including structured outputs, deterministic checks, evidence tracing, confidence-aware findings, and human verification.
YakData combines current production-system work with a career of first-system building, analytical product leadership, forecasting, data architecture, and executive decision support.
Built and deployed a multimodal decision-assurance application for a large international bank, including structured outputs, deterministic checks, evidence tracing, confidence-aware findings, and human verification.
Delivered approximately 30 forecasting, analytics, data, and decision systems in 2.5 years across a national-scale television platform.
Built board-level pharmaceutical acquisition forecasting and simulation supporting a product-line transaction exceeding $1 billion.
Architected predictive and data-platform capabilities supporting Canada's approximately $2.7 billion linear television advertising market.
Built early subscriber lifetime-value, retention, and customer-economics frameworks used in marketing, operations, and finance decisions.
Served as Tableau's first Director of Analytics and led a SAS research and development organization of approximately 40 people.
Rebuilt and operated a multi-terabyte data warehouse supporting cyber-defense analysis and operational reporting.
Two editions explaining applied analytics and statistical work to practitioners.
A practical framework for turning raw data into useful analysis and executive action.
An early dedicated book on building analytical graphics with Tableau.
Faculty for data exploration, visualization, forecasting, and analytical decision work.
Faculty work covering customer lifetime value, cohort analysis, segmentation, and marketing dashboards.
Professional and university instruction connecting data, architecture, visualization, and business decisions.

Stephen McDaniel was Netflix's first data scientist, building subscriber lifetime-value and retention frameworks used in marketing, operations, and finance decisions.
Across three decades he has built first analytical and decision systems inside consequential organizations: a $1B+ pharmaceutical acquisition model, Navy Cyber, an international bank's governed AI applications, and national-scale television forecasting, with product leadership at Tableau, SAS, and Brio/Oracle.
He wrote three field texts, taught forecasting and analytics for INFORMS, TDWI, and the American Marketing Association, and has guest lectured at Princeton, Brown, Chicago Booth, and the University of Washington.
Bring one stalled AI initiative, unreliable forecast, fragmented decision workflow, or high-value manual process.
Request a fit call