Predictive Analytics Project

Be a part of HouseMark’s new Predictive Analytics Project and play an influential role in leading innovation in the housing sector.

HouseMark has launched a new Predictive Analytics Project to bring together innovative housing organisations to explore the potential of using machine learning techniques. Together, we want to build a model that helps predict repair costs – with a view to using insights from this model to save money. 

Building upon an initial proof of concept, we are looking for asset and performance colleagues from forward-thinking housing organisations to join this crowdfunded project to further test our approach. We know there is a vast resource of rich operational asset management data that could be used to strengthen the model and deliver insight for practical, real-world applications. 

Why join?

• Lead the way and use your expertise and influence to help shape a solution that could make significant cost savings for the sector.
• Gain new and previously unseen insights into how your asset management function operates, allowing you to positively impact the effectiveness of your service.
• Learn from forward-thinking peers and experts to access and exchange best practice, data science techniques and more.
• Embrace the opportunity to really do things differently with measurable and tangible results and outcomes.

For more information, please contact Elaine Middleton on elaine.middleton@housemark.co.uk for a customer information pack.