This 1/2 day workshop, formed as a guided discussion around possible use cases aims to enhance the knowledge and skills required to define a shortlist of potential use cases, together with questions to be answered and recommended next steps. Organisations increasingly understand that future success will depend largely on their ability to use data and analytics to drive more informed decision making. As such, there is a clamour for organisations to become “data-driven”, resulting in a rise in the number of initiatives focused on proactive data strategy, creating analytic teams and transforming business culture. When an organisation has started on their data driven journey, they may surface a number of possible use cases that may be solved with an analytic approach. However, it may be difficult to understand how to refine each use case, or whether in fact a solution is feasible. Mango, in collaboration with their customers, have designed the Data-Driven Prioritisation Workshop for organisations wanting to review and prioritise a set of data-driven use cases, to deliver a refined set of initiatives that can be delivered.
Organisations increasingly understand that future success will depend largely on their ability to use data and analytics to drive more informed decision making. As such, there is a clamour for organisations to become “data-driven”, resulting in a rise in the number of initiatives focused on proactive data strategy, creating analytic teams and transforming business culture. During an organisation’s data driven journey, they may prioritise a number of use cases that would appear to deliver value to the organisation and be feasible. However, to capitalise on the value, and to plan an optimal approach, it is essential to access experienced data and data science professionals. Datatrainer and Mango, in collaboration with their customers, have designed the Data-Driven Planning Workshop for organisations wanting to refine and plan vital data-driven initiatives. Pre-requisites • Prior to the course, the company has defined and shared a shortlist of analytic opportunities, to be discussed and planned