Strengthening data governance in US public health agencies – McKinsey
Data and information management, including data governance, has emerged as a top ten policy and technology priority for state chief information officers (CIOs) in recent years.1 This ranking highlights the greater focus organizations are placing on the use of data to support faster and richer insight generation.
Data governance can be especially critical for enabling the functions of state public health agencies. For example, a single, unified framework can enable earlier detection of public health threats, a more coordinated response to public health emergencies, better-informed daily decision making, and an increased ability to manage risks. In our experience, public health agencies may benefit from focusing on four key dimensions (based on the McKinsey DRIVE framework) as they develop and implement their data governance approach: data strategy, impact case, and road map; information architecture and technology; value, operating model, and governance for public health; and ethics, talent, and culture. To help agencies get started with this approach, this article offers eight insights and relevant examples drawn from existing efforts across US state agencies.
To read the full article, download the PDF here.
Connor Norwood, a senior adviser in McKinsey’s Chicago office, formerly served as the chief data officer of the Indiana Family and Social Services Administration; Saumya Singh is an associate partner in the New Jersey office; Keerthana Sundar is a consultant in the Chicago office; and Hrishika Vuppala is a senior partner in the Southern California office.
The authors wish to thank Ellen Feehan, Jessica Kahn, Mihir Mysore, Adam Ng, Anthony Nguyen, and Bryan Petzold for their contributions to this article.
This article was autogenerated from a news feed from CDO TIMES selected high quality news and research sources. There was no editorial review conducted beyond that by CDO TIMES staff. Need help with any of the topics in our articles? Schedule your free CDO TIMES Tech Navigator call today to stay ahead of the curve and gain insider advantages to propel your business!
Data governance can be especially critical for enabling the functions of state public health agencies. For example, a single, unified framework can enable earlier detection of public health threats, a more coordinated response to public health emergencies, better-informed daily decision making, and an increased ability to manage risks. In our experience, public health agencies may benefit from focusing on four key dimensions (based on the McKinsey DRIVE framework) as they develop and implement their data governance approach: data strategy, impact case, and road map; information architecture and technology; value, operating model, and governance for public health; and ethics, talent, and culture. To help agencies get started with this approach, this article offers eight insights and relevant examples drawn from existing efforts across US state agencies.
To read the full article, download the PDF here.
Connor Norwood, a senior adviser in McKinsey’s Chicago office, formerly served as the chief data officer of the Indiana Family and Social Services Administration; Saumya Singh is an associate partner in the New Jersey office; Keerthana Sundar is a consultant in the Chicago office; and Hrishika Vuppala is a senior partner in the Southern California office.
The authors wish to thank Ellen Feehan, Jessica Kahn, Mihir Mysore, Adam Ng, Anthony Nguyen, and Bryan Petzold for their contributions to this article.
This article was autogenerated from a news feed from CDO TIMES selected high quality news and research sources. There was no editorial review conducted beyond that by CDO TIMES staff. Need help with any of the topics in our articles? Schedule your free CDO TIMES Tech Navigator call today to stay ahead of the curve and gain insider advantages to propel your business!
