000			02062nam a22002297a 4500
005			20240206191658.0
008			240206b |||||||| |||| 00| 0 eng d
020			_a9781032208510
082			_a005.74 _bBOT
100			_aBothe, Ondrej _913979
245			_aData analytics initiatives: _bmanaging analytics for success
260			_bCRC Press _aBoca Raton _c2022
300			_a162 p.
365			_aGBP _b44.99
520			_aThe 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. (https://www.routledge.com/Data-Analytics-Initiatives-Managing-Analytics-for-Success/Bothe-Kubera-Bednar-Potancok-Novotny/p/book/9781032208510)
650			_aData Science _915154
650			_aAnalytics _915155
650			_aSuccess _912929
700			_aKubera, Ondrej _915156
700			_aBednar, David _915157
942			_cBK _2ddc
999			_c5711 _d5711