Our latest research investigates how HR Leaders delivering data can support local governments with future workforce planning.

This insight covers what are the drivers for transformation throughout 2019, how we can use data to eliminate the guesswork in planning for change, and then explores the work we have been doing to support councils to make evidence-based decisions.

To view the brochure please click here.

To give you an idea of what the brochure covers, we have put together a brief description of the different elements of the brochure below:

Drivers for Transformation in 2019:

One of the biggest challenges for local government leaders is implementing new business and service delivery models. Here we investigate what are the factors that are driving councils to need to transform this year.

Finding the Evidence and Eliminating the Guesswork:

One of the largest workforce planning challenge for HR Leaders is the shift to the new target operating models in local government represents a significant risk for HR Leaders. To reduce the risk of failure in any change programme, HR teams must challenge and support their peers in multiple areas that we explore in this section.

Supporting the Transformation of Service and Assess Impact of New Ways of Working:

If HR teams are to support the organisation effectively as senior managers with their transformation plans, it’s critical that they have the tools which can provide the evidence which will help their peers make the right decisions. Matrix SCM support over 100 councils with this, offering data to support evidence-based decisions, showcase full visibility of costs, building and controlling supply chains and supporting digital transformation of HR functions.

Useful Sources and Resources to Support Workforce Transformation:

Here we offer some great links to articles that have helped us to shape this document and support others in their quest to support workforce transformations.

If you have any questions about how you can drive data across your organisation or would like to understand what data we track and why, please get in touch below: