Analytics is a

business process

It does not work if it is the reserved domain

of IT or a team of data scientists alone.

Produce data insights that resonate with the business, deploy these insights with the business and track the tangible benefits

Analytics deliver benefits across all functions of an organisation, and is an enterprise capability. Analytics is not just a customer retention or operational efficiency tool. In our experience, we have seen it used throughout organisations. From examining risk or financial management to analysing employee churn or satisfaction. Regardless of the use case, at Presidion, we steadfastly believe that an analytics vision can be moulded by following the structured approach of asking the right questions, defining the interventions and being clear about the deliverables.

A proven process methodology is at the heart of that. For each analytical initiative, Presidion recommends the CRISP-DM Process. This helps to provide complete visibility of project stages and a framework for how you will move from your business requirements to structured outputs, insights and action. At it’s core, the CRISP-DM process is: Collaborative – between the Business, the Analysts and the Data Owners. Iterative – structured around key phases of work that take into can be revisited depending on progress and findings of the project. Deployment focused – on delivering actionable insights that can be deployed in the business.