Introduction

As housing providers prepare for the operational impact of Awaab’s Law, the role of data in driving compliance, tenant welfare, and smarter decision-making has never been more critical. This webinar will explore how organisations can transform data into actionable insights, ensuring they are not just reactive but proactive in improving housing standards.

Our speaker

Anna-Marie Lawrence-Lovell, Interim Director of Data & Analytics, London & Quadrant

Anna-Marie is a data and analytics leader with over 15 years of experience driving innovation and transformation in the public and housing sectors. As Interim Director of Data & Analytics at London & Quadrant, she oversees strategy, governance, and business intelligence, supporting over 250,000 residents. Previously, she led Golding Homes' first data strategy, improving customer satisfaction and securing £60m investment. A recognised sector innovator, she has been commended for partnership excellence at the Kent Housing Group Awards and regularly shares insights on customer segmentation, data quality, and performance improvement.

What the session will cover

Breaking Data Silos: Uncovering what’s possible when property, tenant, and customer data are connected to create a fuller picture of risk, compliance, and service quality.

Expanding Data Horizons: Identifying new data sets that will be essential for compliance under Awaab’s Law, from environmental conditions to tenant feedback mechanisms.

From Data-Rich to Insight-Led: Shifting from passive data collection to active intelligence, using analytics to drive smarter, faster decision-making across housing operations.

Who should attend?

This session will be a must hear and see for senior leaders working in both the property and asset side of the business, but also the business intelligence, performance and insight teams. This session will also be suitable for executives and operational directors leading on Awaab’s Law implementation and reporting.

Awaab’s Law Masterclass Series: The Power of Connected Data