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Gain exclusive insights from over 100 senior leaders
In October 2025, Experian partnered with Housing Technology to deliver a comprehensive survey of senior IT and business leaders across the UK social housing sector.
Discover sector-wide challenges like data literacy and compliance risk, and explore how AI is reshaping data management. Whether you’re building a strategy or refining your framework, this report offers actionable guidance to improve tenant outcomes, streamline operations, and future-proof your data governance.
Why data quality is important in social housing
Data quality is essential for organisations that rely on accurate, timely, and consistent information to deliver services, meet compliance obligations, and make informed decisions.
In social housing, it underpins everything from tenant engagement and repairs to financial reporting and regulatory submissions. Poor data quality can lead to inefficiencies, missed opportunities, and reputational risk, while high-quality data enables housing providers to operate with confidence, improve tenant outcomes, and respond proactively to sector challenges. As digital transformation accelerates, data quality is no longer a back-office concern, it’s a strategic asset that drives performance and accountability across the organisation.
Controlled data will:
✔ Drive revenue
✔ Empower decision making
✔ Limit regulatory risk
✔ Optimise operational efficiency
✔ Drive competitive advantage
In this report, we cover:
The state of data quality strategies
Goals driving data quality initiatives
Barriers to effective data management
Data ownership frameworks and confidence levels
Operational importance of data quality
Future priorities for data management
AI-driven developments in data management
Regulatory compliance and sector readiness
A sneak peek into:
Data Quality in Social Housing Report 2025
We conducted this research to understand how social housing providers view data quality and the role it plays in delivering better services, meeting compliance obligations, and driving operational efficiency. With increasing regulatory scrutiny and growing expectations from tenants, data quality has become a strategic priority rather than a back-office task.
Based on our findings, we’ve split the report into 11 sections, including:
- Data Quality Strategies
- Goals for data quality
- Factors affecting data management
- Data ownership frameworks
- Data management software
- Reviewing data management processes
- Operational importance of data management
- Future data management priorities
- AI and data management
- Regulatory compliance
- Consequences of poor data
Breakdown of the sample
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Data quality has become an essential topic for executives and industry leaders in the social housing sector. But what exactly is data quality and why is it so important? Download our full report to find out more.
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