Local Government

Local Authorities operate across the full range of demographics and each Council faces unique challenges to their strategies and ability to collect the debt as a result.

The challenge is often heightened by a fragmented approach to collection and data inaccuracy (in particular, with tenants). Debts, such as parking fines, leverage other government data, however, information cannot always be easily shared to allow more effective management of the collections contact strategy. A critical factor in effectively sharing information is data quality. Data must be right, consistent in definition and ideally augmented with other attributes, including those from external parties such as credit bureaus.

This requires coordination, data mapping, understanding of data handling and management of data sources. Doing so enables the opportunity for improved collections; doing well can transform your process and create dramatically improved experiences, driving collections improvement.

Legacy systems and processes often make advancements within Local Government difficult.
Existing systems were designed to administer application for services rather than collection or recovery of income. Limited options and the prohibitive costs of change can make procuring new systems and technology difficult and the process complexity can be a barrier to entry for some vendors.

The use of modern collections technology and processes will undoubtedly help accelerate progress in the recovery of arrears in Local Government. It allows the introduction of new collections contact channels, digital technologies throughout the recovery of arrears.

A flexible and agile collections and recoveries platform can link to legacy systems and provide the benefits needed. They are enablers to allow the introduction of new techniques such as segmentation, enhanced processes in areas such as vulnerability and provide a platform for champion challenging collections strategy. They can provide benefits to both the local authority and the resident themselves.