Empowering Social Housing Through Data-Driven Decision Making

Introducing our special guests:Daz Chauhan, Director at Knowledge IndustriesElishama Tizora, Head of Data and Business Intelligence at Great PlacesAndreea Fard, Head of Digital, Data and Technology at Community GatewayThe social housing sector is facing increasing pressure to enhance service delivery, optimise resources, and improve tenant outcomes. In response, data-driven decision making emerged as a transformative approach, enabling housing providers to harness the power of data analytics to inform strategy and operations.The Housing Hive explored the critical role of data in shaping the future of social housing, with a focus on three essential pillars:Systems: Examining the technological infrastructure required to collect, analyse, and act on data insights. We will delve into best practices for implementing data systems that support efficient service delivery and performance monitoring, including the analysis of Tenant Satisfaction Measures, complaints, and repairs data. Additionally, we will explore how data can be leveraged to identify opportunities and build a business case for increased use of technology and digital services.People: Highlighting the importance of building data literacy within teams. We will discuss strategies for empowering staff with the skills and confidence to interpret data, drive innovation, and enhance decision-making processes.Culture: Addressing the need for a cultural shift towards data-informed practices. We will explore how to foster a mindset of continuous improvement and accountability, ensuring data becomes a cornerstone of organisational values.Attendees gained practical insights into using data to improve outcomes, boost efficiency, and deliver more responsive housing services.This session was aimed at leaders, data practitioners, and policymakers committed to driving change through data-led strategies.Timestamps:00:00 Introduction to April's Housing Hive00:42 Current Challenges in the Housing Sector02:04 The Importance of Data Quality04:15 Panelist Introductions05:57 Discussion on Data Foundations10:59 Assessing Data Maturity15:43 The Role of External Data18:32 Standardising Data Across the Sector21:45 The Importance of Data Governance24:47 Building Data Confidence in Teams30:27 Prioritising Business Projects and Data Governance31:52 Assessing Team Capability and Data Literacy33:22 Challenges with KPI-Driven Cultures37:25 Inspiration from Other Sectors41:54 Making Data Stick: Culture and Governance47:11 Demonstrating ROI and Data Strategy53:34 Q&A: Social Value and Development Pathways56:56 Final Takeaways and Next Steps