How do we make it meaningful in connecting Predictive modelling with what users do day-to-day? In the case of a Predictive modelling project, the criteria for the audit derive from implementation objectives. an audit of a Predictive modelling project involves assessing whether the recommendations outlined for implementation have been met. in other words, can we track that any Predictive modelling project is implemented as planned, and is it working? Does Predictive modelling include applications and information with regulatory compliance significance (or other contractual conditions that must be formally complied with) in a new or unique manner for which no approved security requirements, templates or design models exist? Has the direction changed at all during the course of Predictive modelling? If so, when did it change and why? What are the top 3 things at the forefront of our Predictive modelling agendas for the next 3 years?

Defining, designing, creating, and implementing a process to solve a business challenge or meet a business objective is the most valuable role... In EVERY company, organization and department.

Unless you are talking a one-time, single-use project within a business, there should be a process. Whether that process is managed and implemented by humans, AI, or a combination of the two, it needs to be designed by someone with a complex enough perspective to ask the right questions. Someone capable of asking the right questions and step back and say, 'What are we really trying to accomplish here? And is there a different way to look at it?'

This Self-Assessment empowers people to do just that - whether their title is entrepreneur, manager, consultant, (Vice-)President, CxO etc... - they are the people who rule the future. They are the person who asks the right questions to make Predictive modelling investments work better.

This Predictive modelling All-Inclusive Self-Assessment enables You to be that person.

All the tools you need to an in-depth Predictive modelling Self-Assessment. Featuring 698 new and updated case-based questions, organized into seven core areas of process design, this Self-Assessment will help you identify areas in which Predictive modelling improvements can be made.

In using the questions you will be better able to:

- diagnose Predictive modelling projects, initiatives, organizations, businesses and processes using accepted diagnostic standards and practices

- implement evidence-based best practice strategies aligned with overall goals

- integrate recent advances in Predictive modelling and process design strategies into practice according to best practice guidelines

Using a Self-Assessment tool known as the Predictive modelling Scorecard, you will develop a clear picture of which Predictive modelling areas need attention.

Your purchase includes access details to the Predictive modelling self-assessment dashboard download which gives you your dynamically prioritized projects-ready tool and shows your organization exactly what to do next. Your exclusive instant access details can be found in your book.