• Visit Stand F39 for a demo of Red Olive’s predictive complaints solution
Heads of Complaints Management and Customer Voice and those responsible for tenancy engagement are some of the roles that will want to visit the Red Olive stand (F39) at Housing 2024. Red Olive, experts in housing data and analytics will be demoing its 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, it helps housing associations on data projects at different levels of maturity. For some that are earlier in their digital transformation projects, it can 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, it can help with machine learning for predictive maintenance, tenant complaints and predictive arrears management, helping to improve tenant acquisition and retention.
Red Olive’s team of data experts will be on hand 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. On the stand, there will be regular demos of the company’s new predictive complaints solution.
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. A senior member of one of them told me that his customers had said they were really grateful for the interactions we’d helped bring about, and that was great to hear. 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 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.
“As a special offer only for attendees of Housing 2024, for those who book a 1-2-1 demo and sign up for a pilot of the predictive complaints solution, we’ll give them 12 months for the price of 10, if they go on to activate a subscription within a month of the show. To book your 1-2-1 demo or meeting with the team, attendees should email [email protected].”
Red Olive is a dynamic analytics and data management company, UK-headquartered and providing value to clients internationally. For more than a decade, it has been applying innovative consultancy and cutting-edge specialist products to help its large and smaller housing clients extract value from data they already hold to improve business decision making and their relationships with tenants.
Red Olive offers consultancy, monthly subscription data support packages, training and its 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
Jefferson continues: “We are expecting our offer at the show to be very popular as it is great value and housing associations can see results and information about their tenants extremely quickly. Within no time, the system pays for itself. But make sure you book a demo to take advantage of the offer.
“If you want to find out more about how we help housing associations with AI, general data management and maintenance and digital transformation projects, we would love to see you. Come and say hello to the team on stand F39.”
• Don’t miss Jefferson’s session on the Insights stage – 3:30pm (TBC), 26th June 2024.
Reducing customer complaints effectively using data science techniques.
Can you predict your tenant complaints? Jefferson Lynch, CEO at Red Olive will be showing how recent work with a leading housing association has led them to identify and reduce the number of complaints received as well as predicting those tenants most likely to complain. Using a data science engine, developed by Red Olive, the housing association has a better understanding of its tenants and their needs, highlighting issues, such as damp and mould, or repairs before they become critical – unveiling a new way of working and getting more value from using the data the housing association already holds.
