Data Quality at Lloyds Banking Group
Data quality with purpose: Taking a data-first approach and moving from assumption to assurance
“As part of the journey we’ve gone through with Ataccama, we’re becoming more data-first, moving from assumption to assurance around data quality.”
Steven Bennett, Head of Data Enablement, Chief Data Analytics Office, Lloyds Banking Group
Lloyds Banking Group is transforming its data capabilities with high-quality and accessible data. Its latest efforts to align customer-centricity and an evolving regulatory landscape are some of its most important to date. Data quality significantly impacts business-driven decisions across the Group; ensuring its data is complete, accurate, and timely means Lloyds Banking Group can trust its data and better support its customers and agents during critical exchanges.
That work has continued to scale. In a recent interview with The Stack, Lloyds Banking Group shared that it has identified approximately 1,000 of its most critical data items and is on track to have data management controls over 90% of its most critical datasets in 2026.
To ensure Lloyds Banking Group has a consistent approach to managing its most important data, the Group approached Ataccama and its expertise in delivering effortless data quality.
Read the ongoing story of Lloyds Banking Group and Ataccama to learn more about their data quality journey.
The context: An ongoing transformation in the banking industry
Lloyds Banking Group (LBG) is one of the largest banking groups in the UK. LBG is incorporating artificial intelligence and advanced data analytics to better understand customer needs, predict behaviors, and offer personalized products and services in an increasingly digital world. Alongside peers in the banking sector, it is also focused on ensuring compliance with constantly evolving data-driven regulations.
“Data underpins so many of our business processes and how our systems operate. Having that information available to help manage our products and customer journeys really underpins everything we do as an organization.”
Steven Bennett, Head of Data Enablement, Chief Data Analytics Office, Lloyds Banking Group
As part of the Group’s data strategy, data management capabilities are pivotal to enabling AI and analytical benefits, and delivering personalised customer experiences. Lloyds Banking Group has undertaken a programme of work to build out core foundational data management capabilities. This has been undertaken in a programmatic way with specific focus on:
- Implementation of a producer/consumer model to ensure the Bank has the correct data accountabilities in place.
- Ensuring LBG understands its most important data. The work undertaken specifically focused on customer/client and regulatory data. As part of this work the Group has documented and captured its most important data and identified where this data is produced and consumed.
- Ensuring LBG has the appropriate controls across its most important data by implementing Ataccama’s Data Quality capabilities to understand and manage the quality of its most important data.
This approach is driving a cultural shift in how Lloyds Banking Group thinks about data across the Group, as well as who owns data and has the right capabilities in place to manage and measure its most important data.
“We’ve made significant strides over the last period and the cultural change has been a big step forward… It has meant that we’re continually improving how we manage customer/client/regulatory data.”
Steven Bennett, Head of Data Enablement, Chief Data Analytics Office, Lloyds Banking Group
As part of the Group’s programmatic approach there was a clear opportunity to leverage Ataccama’s Data Quality capabilities beyond a risk and compliance programme, and make this capability more readily available to deliver a consistent set of capabilities.
A key part of implementing the producer/consumer model was to federate data accountabilities to where the Group’s most important data was produced, within its Business Platform teams. A key part of this work was for Business Platform teams to understand when their data didn’t meet the expected quality standards. To enable this to work, a standardised Data Management control approach was deployed across systems of record.
- Ingesting system of record data into Ataccama.
- Data profiling: Uncovering hidden issues in data, such as duplicates, missing data, and inconsistencies.
- Data validation: Checking specific fields, like phone numbers and postal addresses, against specific business rules.
- Proactively identifying when data falls outside the expected standard, giving engineers a clear call to action so issues can be addressed before they impact customers and clients.
That approach has continued to mature. Speaking with The Stack, Joanne Riseborough, Group Data Management and Culture Director at Lloyds Banking Group, described Ataccama as the Group tooling capability for tracking data quality across business units. She explained that the controls run automatically across datasets, helping teams monitor data quality continuously and identify issues sooner.
The future: Moving from assumption to assurance
“As part of the journey we’ve gone through with Ataccama, we’re becoming more data-first, moving from assumption to assurance around data quality.”
Steven Bennett, Head of Data Enablement, Chief Data Analytics Office, Lloyds Banking Group
The partnership between Lloyds Banking Group and Ataccama has accelerated the Group’s data and cultural transformation. Its shift from assumption to assurance has been core to the Group’s customer-orientated success, enabling teams across the business to trust in its data.
Lloyds Banking Group has continued to expand this approach across the business. The Group is now on track to have data management controls over 90% of its most critical datasets in 2026, while business units can set rules tailored to their own data control needs within a consistent Group-wide approach.
The next stage of that journey is increasingly focused on automation and AI. In its interview with The Stack, Lloyds Banking Group shared that it is exploring how agents could support the development of data products and how data quality issues could eventually be resolved with less reliance on delivery and engineering teams.
The underlying goal remains the same: giving teams greater confidence in the data behind critical business processes, customer experiences, analytics, and AI. By putting consistent controls around its most important data and distributing accountability across the business, Lloyds Banking Group continues its move from assumption to assurance.
Hear more from Lloyds Banking Group
Joanne Riseborough, Group Data Management and Culture Director at Lloyds Banking Group, recently sat down with The Stack to discuss how the Group is building trusted, well-controlled data at scale, including its approach to data quality monitoring, automation, and AI.
Data quality with purpose: Taking a data-first approach and moving from assumption to assurance
“As part of the journey we’ve gone through with Ataccama, we’re becoming more data-first, moving from assumption to assurance around data quality.”
Steven Bennett, Head of Data Enablement, Chief Data Analytics Office, Lloyds Banking Group
Lloyds Banking Group is transforming its data capabilities with high-quality and accessible data. Its latest efforts to align customer-centricity and an evolving regulatory landscape are some of its most important to date. Data quality significantly impacts business-driven decisions across the Group; ensuring its data is complete, accurate, and timely means Lloyds Banking Group can trust its data and better support its customers and agents during critical exchanges.
That work has continued to scale. In a recent interview with The Stack, Lloyds Banking Group shared that it has identified approximately 1,000 of its most critical data items and is on track to have data management controls over 90% of its most critical datasets in 2026.
To ensure Lloyds Banking Group has a consistent approach to managing its most important data, the Group approached Ataccama and its expertise in delivering effortless data quality.
Read the ongoing story of Lloyds Banking Group and Ataccama to learn more about their data quality journey.
The context: An ongoing transformation in the banking industry
Lloyds Banking Group (LBG) is one of the largest banking groups in the UK. LBG is incorporating artificial intelligence and advanced data analytics to better understand customer needs, predict behaviors, and offer personalized products and services in an increasingly digital world. Alongside peers in the banking sector, it is also focused on ensuring compliance with constantly evolving data-driven regulations.
“Data underpins so many of our business processes and how our systems operate. Having that information available to help manage our products and customer journeys really underpins everything we do as an organization.”
Steven Bennett, Head of Data Enablement, Chief Data Analytics Office, Lloyds Banking Group
As part of the Group’s data strategy, data management capabilities are pivotal to enabling AI and analytical benefits, and delivering personalised customer experiences. Lloyds Banking Group has undertaken a programme of work to build out core foundational data management capabilities. This has been undertaken in a programmatic way with specific focus on:
- Implementation of a producer/consumer model to ensure the Bank has the correct data accountabilities in place.
- Ensuring LBG understands its most important data. The work undertaken specifically focused on customer/client and regulatory data. As part of this work the Group has documented and captured its most important data and identified where this data is produced and consumed.
- Ensuring LBG has the appropriate controls across its most important data by implementing Ataccama’s Data Quality capabilities to understand and manage the quality of its most important data.
This approach is driving a cultural shift in how Lloyds Banking Group thinks about data across the Group, as well as who owns data and has the right capabilities in place to manage and measure its most important data.
“We’ve made significant strides over the last period and the cultural change has been a big step forward… It has meant that we’re continually improving how we manage customer/client/regulatory data.”
Steven Bennett, Head of Data Enablement, Chief Data Analytics Office, Lloyds Banking Group
As part of the Group’s programmatic approach there was a clear opportunity to leverage Ataccama’s Data Quality capabilities beyond a risk and compliance programme, and make this capability more readily available to deliver a consistent set of capabilities.
A key part of implementing the producer/consumer model was to federate data accountabilities to where the Group’s most important data was produced, within its Business Platform teams. A key part of this work was for Business Platform teams to understand when their data didn’t meet the expected quality standards. To enable this to work, a standardised Data Management control approach was deployed across systems of record.
- Ingesting system of record data into Ataccama.
- Data profiling: Uncovering hidden issues in data, such as duplicates, missing data, and inconsistencies.
- Data validation: Checking specific fields, like phone numbers and postal addresses, against specific business rules.
- Proactively identifying when data falls outside the expected standard, giving engineers a clear call to action so issues can be addressed before they impact customers and clients.
That approach has continued to mature. Speaking with The Stack, Joanne Riseborough, Group Data Management and Culture Director at Lloyds Banking Group, described Ataccama as the Group tooling capability for tracking data quality across business units. She explained that the controls run automatically across datasets, helping teams monitor data quality continuously and identify issues sooner.
The future: Moving from assumption to assurance
“As part of the journey we’ve gone through with Ataccama, we’re becoming more data-first, moving from assumption to assurance around data quality.”
Steven Bennett, Head of Data Enablement, Chief Data Analytics Office, Lloyds Banking Group
The partnership between Lloyds Banking Group and Ataccama has accelerated the Group’s data and cultural transformation. Its shift from assumption to assurance has been core to the Group’s customer-orientated success, enabling teams across the business to trust in its data.
Lloyds Banking Group has continued to expand this approach across the business. The Group is now on track to have data management controls over 90% of its most critical datasets in 2026, while business units can set rules tailored to their own data control needs within a consistent Group-wide approach.
The next stage of that journey is increasingly focused on automation and AI. In its interview with The Stack, Lloyds Banking Group shared that it is exploring how agents could support the development of data products and how data quality issues could eventually be resolved with less reliance on delivery and engineering teams.
The underlying goal remains the same: giving teams greater confidence in the data behind critical business processes, customer experiences, analytics, and AI. By putting consistent controls around its most important data and distributing accountability across the business, Lloyds Banking Group continues its move from assumption to assurance.
Hear more from Lloyds Banking Group
Joanne Riseborough, Group Data Management and Culture Director at Lloyds Banking Group, recently sat down with The Stack to discuss how the Group is building trusted, well-controlled data at scale, including its approach to data quality monitoring, automation, and AI.
