The Social Housing performance analytics landscape consists of a wide array of capability. With suppliers, HCA, and consultants approaching analytics very differently, gaining a clear perspective on how to deploy a performance analytics-driven capability can be challenging.
We have therefore produced a layman’s guide to performance analytics in order to help our clients make sense of these of these new terms.
In simple terms, the social housing performance analytics landscape consists of:
(a) Reporting and software that allow you to retrieve information from a housing/finance database
(b) Data and statistics-driven predictive modelling that enables customer segmentation
Setting aside the latest buzzwords — such as big data, data mining, and customer intelligence — the following list describes the key categories of performance analytics capability used by social housing organisations.
The relative importance and utility of each category are largely dependent on the sophistication level, budget, and size of the association. However, it is a universal maxim that some combination of performance management reporting and customer segmentation is required to effectively manage the organisation. Accordingly, the following types of analytics are generally available and can be utilised by housing organisations.
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