Research Fellow & Senior Advisor
Don Ryan is a research fellow & senior advisor for HFS Research. He joined the firm in August 2020 as senior vice president of research and consulting. Prior to HFS, Don was a director for global research and thought leadership for business and outsourcing services, digital technology, and AI deployment at KPMG LLC. While at KPMG, he collaborated with HFS on the highly publicized white paper, Enterprise Reboot: Scaling digital technologies in the new reality, a major study to delineate the impact of COVID-19 on technology implementation.
Don brings a broad background in forecasting technology trends, quantifying the market impact of brand experience and customer loyalty, and analyzing the changing nature of business operating models. His insights gained through research and analytical roles at TNS, META Group, Current Analysis, and FedEx, along with his education at the Wharton School, help HFS clients identify new competitive and market opportunities.
At HFS, Don leads large research-based advisory engagements and continues his longstanding coverage of the technology, media, and telecom vertical, as well as enterprise application platforms and ecosystems.
April 2, 2025 The future of pharma GBS must address enterprise strategic priorities instead of a being a task level cost manager.
July 23, 2024 How new-gen leaders in GBS are pulling away from the pack.
April 23, 2024 Stark differences emerge between internally delivered services and third-party-delivered managed services.
March 20, 2024 All the factors for market adoption are converging; it’s time for enterprises to include managed services in their delivery mix.
February 28, 2024 Enterprises must address their data foundation to enable successful GenAI deployments.
December 4, 2023 Infosys delivers data-driven insights for players and fans of the ATP Tour to improve the quality of the sport.
August 22, 2023 This research paper aims at understanding what key principles should underpin simplification initiatives in the telecom industry.
May 24, 2023 The enterprise’s trust in data is high, perhaps unrealistically high. Learn about the reasons and action items.
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