Description
| Product ID: | 9781032208510 |
| Product Form: | Paperback / softback |
| Country of Manufacture: | GB |
| Title: | Data Analytics Initiatives |
| Subtitle: | Managing Analytics for Success |
| Authors: | Author: David Bednar, Ota Novotny, Ondrej Kubera, Ondrej Bothe, Martin Potancok |
| Page Count: | 164 |
| Subjects: | Economics, Economics, Project management, Production and quality control management, Engineering: general, Automatic control engineering, Environmental science, engineering and technology, Databases, Computer science, Project management, Production & quality control management, Engineering: general, Automatic control engineering, Environmental science, engineering & technology, Databases, Computer science |
| Description: | Select Guide Rating Analytics projects have a great deal of complexity, which can be hidden and needs to be considered. This book is a guide to evaluating and setting up analytics projects. It gives a holistic view of all aspects of analytical project that can be easily leveraged before a project starts or when it needs to be re-evaluated. The categorisation of analytical projects could help to simplify complexity reasonably and, at the same time, clarify the critical aspects of analytical initiatives. But how can this complex work be categorized? What makes it so complex? Data Analytics Initiatives: Managing Analytics for Success emphasizes that each analytics project is different. At the same time, analytics projects have many common aspects, and these features make them unique compared to other projects. Describing these commonalities helps to develop a conceptual understanding of analytical work. However, features specific to each initiative affects the entire analytics project lifecycle. Neglecting them by trying to use general approaches without tailoring them to each project can lead to failure. In addition to examining typical characteristics of the analytics project and how to categorise them, the book looks at specific types of projects, provides a high-level assessment of their characteristics from a risk perspective, and comments on the most common problems or challenges. The book also presents examples of questions that could be asked of relevant people to analyse an analytics project. These questions help to position properly the project and to find commonalities and general project challenges. |
| Imprint Name: | Auerbach |
| Publisher Name: | Taylor & Francis Ltd |
| Country of Publication: | GB |
| Publishing Date: | 2022-04-21 |
