Data Mining Complete Self-Assessment Guide

By Gerardus Blokdyk

What are the revised rough estimates of the financial savings/opportunity for Data Mining improvements? How do we ensure that implementations of Data Mining products are done in a way that ensures safety? Is a fully trained team formed, supported, and committed to work on the Data Mining improvements? Is the Data Mining scope manageable? What are your current levels and trends in key Data Mining measures or indicators of product and process performance that are important to and directly serve your customers?

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 Data Mining investments work better.

This Data Mining All-Inclusive Self-Assessment enables You to be that person.

All the tools you need to an in-depth Data Mining Self-Assessment. Featuring 730 new and updated case-based questions, organized into seven core areas of process design, this Self-Assessment will help you identify areas in which Data Mining improvements can be made.

In using the questions you will be better able to:

- diagnose Data Mining 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 Data Mining and process design strategies into practice according to best practice guidelines

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

Your purchase includes access details to the Data Mining 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.

• Language: English
• Publisher: The Art of Service
• Release date: Jan 5, 2018
• ISBN: 9781489192325

Book preview

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