000			03522cam a2200313 i 4500
001			10157642
003			CaAEU
005			20240319104059.0
006			m o d
007			cr cnu---unuuu
008			201205s2020 xx o ||| 0 eng d
015			_aGBC1H8604 _2bnb
020			_a9781800561410
040			_cTBS
050		4	_aHD30.2 _b.S36 2020
082	0	4	_a658.4038 _223
100	1		_aSchmarzo, Bill.
245	1	4	_aThe the economics of data, analytics, and digital transformation _b: the theorems, laws, and empowerments to guide your organization's digital transformation.
260			_aBirmingham : _bPackt Publishing, Limited, _c2020.
300			_a253 p.
520			_aIn today's digital era, every organization has data, but just possessing enormous amounts of data is not a sufficient market discriminator. The Economics of Data, Analytics, and Digital Transformation aims to provide actionable insights into the real market discriminators, including an organization's data-fueled analytics products that inspire innovation, deliver insights, help make practical decisions, generate value, and produce mission success for the enterprise. The book begins by first building your mindset to be value-driven and introducing the Big Data Business Model Maturity Index, its maturity index phases, and how to navigate the index. You will explore value engineering, where you will learn how to identify key business initiatives, stakeholders, advanced analytics, data sources, and instrumentation strategies that are essential to data science success. The book will help you accelerate and optimize your company's operations through AI and machine learning. By the end of the book, you will have the tools and techniques to drive your organization's digital transformation. Here are a few words from Dr. Kirk Borne, Data Scientist and Executive Advisor at Booz Allen Hamilton, about the book: Data analytics should first and foremost be about action and value. Consequently, the great value of this book is that it seeks to be actionable. It offers a dynamic progression of purpose-driven ignition points that you can act upon. What you will learn: Train your organization to transition from being data-driven to being value-driven — Navigate and master the big data business model maturity index — Learn a methodology for determining the economic value of your data and analytics — Understand how AI and machine learning can create analytics assets that appreciate in value the more that they are used — Become aware of digital transformation misconceptions and pitfalls — Create empowered and dynamic teams that fuel your organization's digital transformation. Who this book is for: This book is designed to benefit everyone from students who aspire to study the economic fundamentals behind data and digital transformation to established business leaders and professionals who want to learn how to leverage data and analytics to accelerate their business careers.
650		0	_aInformation technology _xManagement.
650		7	_aBig data. _2fast _0(OCoLC)fst01892965
650		7	_aInformation technology _xManagement. _2fast _0(OCoLC)fst00973112
700	1		_aBorne, Kirk.
776	0	8	_iPrint version: _aSchmarzo, Bill _tThe the Economics of Data, Analytics, and Digital Transformation : The Theorems, Laws, and Empowerments to Guide Your Organization's Digital Transformation _dBirmingham : Packt Publishing, Limited,c2020 _z9781800561410
942			_2lcc
999			_c3464 _d3464
041			_aEnglish