This week has been all about Data and Business Impact discovery.
Working in the Health space, you could be forgiven for thinking it’s not a particularly commercial environment, but Business Impact is where the TA prove their worth and it’s important in every Industry. Did you know that TA not filling a Dental Assistant in one of our dental practices can impact daily revenue by 6%? This is when your Finance and Business Leaders sit up and take notice of what you have to say. A question I would have you ask yourself is, are you reporting merely on TA productivity, or do you extend this further to Business Impact?
There are 4 key areas I leverage Data and Analytics:
Leveraging data in process improvement will allow us to identify inefficiencies and implement targeted solutions, streamlining workflows and boosting productivity. By continuously monitoring and analysing key performance metrics, we can make informed decisions that drive sustained operational improvements.
I’m a firm believer in showing evidence-based validation of the transformation impact on ROI by tracking reduced operational costs, increased productivity, and higher retention rates, comparing these metrics before and after implementing data-driven improvements.
Now shifting gear from TA Productivity into Business Impact. I met with one of my key Stakeholders, our Finance Business Partner. Together we are able to conduct financial analyses to quantify cost savings and revenue growth directly attributable to these enhanced processes, demonstrating a clear return on investment, and… showcasing the impact that Talent has on the business.
Here’s what caught my attention this week:
By customising your communication strategy, you make talent analytics more impactful and foster a data-driven culture within your organisation that is tailored to your stakeholder’s needs.
This Blog highlights the transformative role of automation in talent acquisition. The article outlines how AI-powered tools are increasingly being used, thereby allowing talent teams to focus on strategic decisions fuelled by data-driven talent Intelligence.
This article highlights the transformative role of predictive models. It emphasises the importance of leveraging real-time data to enhance hiring decisions and reduce turnover, ensuring a competitive edge in talent acquisition.
This piece discusses the evolving talent acquisition landscape, emphasising the integration of advanced analytics to forecast hiring trends, optimise resource allocation, and enhance workforce planning. It showcases how organisations can use data to stay ahead in the competitive talent market.
This guide delves into key metrics for measuring recruiting efficiency, such as retention rates, cost per hire, and quality of hire. It provides strategies for improving interview processes and optimising candidate experience through data-driven insights.
