If you are responsible for complaints management, tenant engagement or customer voice within housing, make sure you stop by the Red Olive stand (A24) at CIH 2024 in Liverpool on the 9th and 10th of September. As experts in housing data and analytics, we will be demoing our predictive complaints solution which gives greater clarity on tenant relationships, including predicting complaints and identifying those tenants most likely to complain before they occur.

Red Olive has worked with several housing associations including Poplar Harca, Peabody and the Hyde Group among others and with its collaborative approach, we help housing associations on data projects at different levels of maturity. For some that are earlier in their digital transformation projects, we help build bespoke data architecture to ensure that the correct information and data points are being used to manage, measure and predict future trends, meet compliance deadlines such as SDR and building safety regulations as well helping to improve tenant acquisition and retention. And for those with more mature data strategies in place, we help with machine learning for predictive maintenance, tenant complaints and predictive arrears management, helping to improve tenant acquisition and retention. If you’d like to find out more, read our Peabody case study.

Our housing expert Neel Chudasama and our COO David Searro will be at CIH to help and inform visitors to the stand about how data and analytics can be used to help with tenant engagement, building safety regulation, governance, compliance, estate and asset management, ESG reporting and predictive maintenance. And they will be demonstrating our new predictive complaints solution. If you want to book a demo of the solution at CIH or virtually, email [email protected].

Jefferson Lynch, CEO at Red Olive, says: “Some of our housing clients have told us that the work we’ve done recently with them has really helped their customer engagement. As one example, our predictive complaints solution tries to identify tenants that are at high risk of complaining, and why, before they become so unhappy that they complain. In a recent trial, we were able to prove the model had a predictive accuracy of just over 80% based on real historical complaints.  It’s always difficult to really be sure who might go on to complain right now, but at least having sound evidence based on history is a good starting point. Reaching out to tenants before a complaint has escalated, has shown to improve tenant relations as well as reduce business cost and influence efficiency for the housing associations we are working with. We are extremely excited about our new solution as we can see the impact it is having on those housing associations who have implemented it.”

Red Olive is a dynamic analytics and data management company, UK-headquartered and providing value to clients internationally. For more than a decade, we have been applying innovative consultancy and cutting-edge specialist products to help our large and smaller housing clients improve business decision making and their relationships with tenants.

We offer consultancy, monthly subscription data support packages, training and our own suite of solutions that help housing associations get more value from the data they already hold. This can include using data and analytics to:

  • use machine learning for predictive maintenance, tenant complaints and predictive arrears management
  • build a bespoke data architecture to ensure that the correct information and data points are being used to manage, measure and predict future trends
  • meet compliance deadlines such as SDR and building safety regulations
  • help to improve tenant acquisition and retention

Come and visit us on stand A24 to find out more or email us for more info at [email protected].