Data Interoperability and Integration

Discussion table

Learn from
Neil McIvor

Chief Data Officer, and Chief Statistician


Neil McIvor became the Chief Data Officer and Chief Statistician at the Department for Education in October 2017. Neil started his career in the Civil Service in 2001, becoming a professionally accredited statistician in 2003 following achieving a first class honours degree in Mathematics with the Open University. Neil joined the Department for Work and Pensions in 2004, where his first role was to build a billion record pseudonymised individual level database, linking benefit and employment spells for all UK adults that had been on welfare benefits at some point since 1998. This Work and Pensions Longitudinal Study became the backbone for social analysis of welfare and employment throughout the 2000’s and 2010’s.  Neil also spent some time as lead analyst on disability employment issues, before becoming policy lead for specialist disability employment, and disability benefits.

In 2012, Neil returned to his statistical roots, to become the Department for Work and Pensions Deputy Head of Profession for Statistics, and became DWP’s temporary Chief Data Officer in 2016, moving briefly to the Office for National Statistics to run Business Data Operations, and Student Migration statistics, before moving to his current role, where Neil has responsibility for the departments enterprise wide data and information strategy, governance, control, policy development, and effective automated data collections and data sharing. Neil also runs the Department’s Data Protection Office and Knowledge and Information Management teams.


The role combines accountability and responsibility for information protection and privacy, information governance, data quality and data life cycle management, along with the exploitation of data assets to create insight.


Neil was voted the 7th most influential data leader in the UK DATAIQ 2020 and one of the UK’s top 10 data leaders in 2022.

Jennifer Brooker

Chief Data Architect


Focusing on enabling data sharing across government in her role as Chief Data Architect at CDDO Jennifer has seen first-hand the benefits that sharing and linking datasets can bring, and what happens when you put the data in the hands of the people who need it.

With a background as a software engineer Jennifer started out writing code for submarines, but quickly found a love of all things data. Over the past 20 years Jennifer has moved from building large scale GIS systems to researching geospatial linked data, leading the development of new data products at Ordnance Survey, delivered innovative new data and analytics solutions in the Utilities industry and driven data adoption and strategy at The Maritime and Coastguard Agency.

Jessica Booth

Data Analytics Director


Jessica is a Director of Data Analytics in KPMG's Digital Lighthouse practice, with 18 years working across central and local government, healthcare and public sector. Jessica is passionate about improving public services
providing high quality, innovative analytics services to support teams on their digital transformation journeys.
Jessica’s recent work has included developing digital, data and analytics strategies, working with multiple teams within organisations, and with partners in external organisations. Then bringing together different datasets, through data management and data warehousing, and extracting insights using business intelligence and AI tools, in order to help organisations solve problems.
Jessica coaches client teams and supports them in building analytical capability in their organisation. In her spare time Jessica likes playing netball, dancing, and going on adventures!
About the session

Public sector organisations have multiple and distributed databases with different standards, access points, locations, architectures and security levels – a great complexity at a time where data plays a key role in decision making. What can individual departments do to combine different systems and data to act as a coordinated whole, providing timely and seamless portability of information within and across organisational boundaries?

  1. Inter-Departmental Coordination: How can we improve inter-departmental coordination to ensure efficient data interoperability and integration?

  2. Infrastructure: Achieving data interoperability and integration requires suitable digital infrastructure. What kind of infrastructure upgrades or changes are necessary to effectively implement data interoperability in government?

  3. Standards and Protocols: Data interoperability and integration require adherence to specific standards and protocols to ensure consistency and security.