000			03086nam a22002897a 4500
003			OSt
005			20240819170753.0
008			240816b |||||||| |||| 00| 0 eng d
020			_a 9781003260158
020			_a9781032196329
020			_a9781000859379
040			_cSIU
082			_a005.758 AWA 2023
100			_aAwati, Ailash.
245			_aData science and analytics strategy : _ban emergent design approach
260			_aBoca Raton _bRC Press, Taylor & Francis Group _c2023
300			_a 1 online resource : illustrations.
490			_3 Chapman & Hall/CRC data science series _a Chapman & Hall/CRC data science series
504			_aForeword. Preface. Acknowledgements. Contributors. 1. Introduction. 2. What Is Data Science? 3. The Principles of Emergent Design. 4. Charting a Course. 5. Capability and Culture. 6. Technical Choices. 7. Doing Data Science: From Planning to Production. 8. Doing the Right Thing. 9. Coda. Index.
505			_aForeword. Preface. Acknowledgements. Contributors. 1. Introduction. 2. What Is Data Science? 3. The Principles of Emergent Design. 4. Charting a Course. 5. Capability and Culture. 6. Technical Choices. 7. Doing Data Science: From Planning to Production. 8. Doing the Right Thing. 9. Coda. Index.
520			_aThis book describes how to establish data science and analytics capabilities in organisations using Emergent Design, an evolutionary approach that increases the chances of successful outcomes while minimising upfront investment. Based on their experiences and those of a number of data leaders, the authors provide actionable advice on data technologies, processes, and governance structures so that readers can make choices that are appropriate to their organisational contexts and requirements. The book blends academic research on organisational change and data science processes with real-world stories from experienced data analytics leaders, focusing on the practical aspects of setting up a data capability. In addition to a detailed coverage of capability, culture, and technology choices, a unique feature of the book is its treatment of emerging issues such as data ethics and algorithmic fairness. Data Science and Analytics Strategy: An Emergent Design Approach has been written for professionals who are looking to build data science and analytics capabilities within their organisations as well as those who wish to expand their knowledge and advance their careers in the data space. Providing deep insights into the intersection between data science and business, this guide will help professionals understand how to help their organisations reap the benefits offered by data. Most importantly, readers will learn how to build a fit-for-purpose data science capability in a manner that avoids the most common pitfalls
650			_2Business Data processing _xBusiness Data processing
650			_2COMPUTERS / Database Management / General _xCOMPUTERS / Database Management / General
650			_2Knowledge management _xKnowledge management
700			_aScriven, Alexander.
942			_2ddc _cBK _n0
999			_c383 _d383