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Field Guide to Digital Transformation, A

Erl Thomas Stoffers, Roger
Heftet / 2022 / Engelsk

Produktdetaljer

ISBN
9780137571840
Publisert
2022-01-13
Utgiver
Vendor
Addison Wesley
Vekt
570 gr
Høyde
230 mm
Bredde
178 mm
Dybde
14 mm
Aldersnivå
P, 06
Språk
Product language
Engelsk
Format
Product format
Heftet
Antall sider
288

Forfatter
Erl Thomas
Stoffers, Roger

Om bidragsyterne

Thomas Erl is a best-selling IT author who has authored and co-authored 15 books published by Prentice Hall and Pearson Education and dedicated to topics focused on contemporary information technology and practices. These titles were delivered for the Pearson Digital Enterprise Series from Thomas Erl (formerly the Prentice Hall Service Technology Series from Thomas Erl) for which Thomas also acts as series editor.


As founder and president of Arcitura Education (www.arcitura.com), Thomas also leads the development of curricula for internationally recognized, vendor-neutral training and accreditation programs. Arcitura's portfolio currently consists of over 100 courses, over 90 Pearson VUE exams, and over 40 certification tracks, covering topics such as Digital Transformation, Robotic Process Automation (RPA), DevOps, Blockchain, IoT, Containerization, Machine Learning, Artificial Intelligence (AI), Cybersecurity, Service-Oriented Architecture (SOA), Cloud Computing and Big Data Analytics.



Roger Stoffers is a TOGAF-certified Enterprise Architect passionate about Digital Transformation and Integration. Roger has worked for (and with) organizations in Telecommunication, Government and Finance industries, building 25 years of experience in multinational organizations. He has served as principal and lead Enterprise Domain Architect for digital business transformation initiatives, with strong focus for customer relationships and sustainable organizational agility in distributed environments.


Presently Roger works as Enterprise Architect for de Volksbank, fostering Customer Centricity and the organization's Sustainability & Social Responsibility goals with Data-Driven Customer Engagement and Decisioning. Independently, Roger is a worldwide consulting architect for digital transformation and integration, and a senior trainer for (enterprise) architecture topics and contemporary vendor-neutral technology and next-generation IT topics. He is a speaker at conferences about Digital Transformation, SOA and Microservices and Enterprise Architecture. He is a contributor for the Service-Oriented Architecture: Analysis and Design for Service and Microservices book from the Pearson Digital Enterprise Series from Thomas Erl.


Field Guide to Digital Transformation, A

Erl Thomas Stoffers, Roger
Heftet / 2022 / Engelsk
Erl Thomas Stoffers, Roger
Heftet / 2022 / Engelsk
Nettpris:
404,-
Levering 7-20 dager
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Your Complete Guide to Digital Transformation  A Field Guide to Digital Transformation is the definitive book on digital transformation. Top-selling IT author Thomas Erl and long-time practitioner Roger Stoffers combine to provide comprehensive, yet easy-to-understand coverage of essential digital transformation concepts, practices, and technologies in the format of a plain-English tutorial written for any IT professionals, students, or decision-makers.  With more than 160 diagrams, this guide provides a highly visual exploration of what digital transformation is, how it works, and the techniques and technologies required to successfully build modern-day digital transformation solutions. Learn from the experts and: Discover what digital transformation is, why it emerged and when to apply itIdentify the significant business benefits that successful digital transformations can deliver and how to turn your organization into a “disruptive” forcePrepare for and overcome the common challenges associated with digital transformation initiativesUnderstand the data-driven nature of digital transformation solutions and how they use and continually accumulate data intelligenceUnderstand how digital transformation solutions can utilize AI technology for intelligent automated decision-makingGain insight into customer-centricity and how its practices are applied as part of digital transformationsExplore key digital transformation automation technologies, such as Robotic Process Automation (RPA), Internet of Things (IoT), Blockchain. and Cloud ComputingExplore key digital transformation data science technologies, such as Artificial Intelligence (AI), Machine Learning, and Big Data Analysis and Analytics The book concludes with a uniquely detailed and highly visual real-world business scenario that provides step-by-step insights into how a digital transformation solution works, how it utilizes data intelligence to improve customer relationship building, and how it collects new data intelligence in support of enhancing future business capabilities.
Les mer
About This Book     xxvii PART I: DIGITAL TRANSFORMATION FUNDAMENTALS Chapter 1: Understanding Digital Transformation     3 (What is Digital Transformation?)     3 Business, Technology, Data and People     5     Digital Transformation and Business     6     Digital Transformation and Technology     7     Digital Transformation and Data     9     Digital Transformation and People     10     Digital Transformation and Organizations and Solutions     11 Chapter 2: Common Business Drivers     13 (What Led to Digital Transformation?)     13 Losing Touch with Customer Communities     14 Inability to Grow in Stale Marketplaces     16 Inability to Adapt to Rapidly Changing Marketplaces     16 Cold Customer Relationships     19 Inefficient Operations     19 Inefficient Decision-Making     21 Chapter 3: Common Technology Drivers     23 (What Enables Digital Transformation?)     23 Enhanced and Diverse Data Collection     25 Contemporary Data Science     27 Sophisticated Automation Technology     29 Autonomous Decision-Making     29 Centralized, Scalable, Resilient IT Resources     31 Immutable Data Storage     33 Ubiquitous Multiexperience Access     34 Chapter 4: Common Benefits and Goals     37 (Why Undergo a Digital Transformation?)     37 Enhanced Business Alignment     39 Enhanced Automation and Productivity     42 Enhanced Data Intelligence and Decision-Making     44 Improved Customer Experience and Customer Confidence     44 Improved Organizational Agility     48 Improved Ability to Attain Market Growth     50 Chapter 5: Common Risks and Challenges     53 (What Are the Pitfalls?)     53 Poor Data Quality and Data Bias     55 Increased Quantity of Vulnerable Digital Data     55 Resistance to Digital Culture     58 Risk of Over-Automation     59 Difficult to Govern     61 Chapter 6: Realizing Customer-Centricity     63 What Is a Product?     64 What Is a Customer?     65 Product-Centric vs. Customer-Centric Relationships     67 Transaction-Value vs. Relationship-Value Actions     69 Customer-Facing vs. Customer-Oriented Actions     71 Relationship Value and Warmth     71     Warmth in Communication     71     Warmth in Proactive Accommodation     74     Warmth in Customer Rewards     76     Warmth in Exceeding Customer Expectations     76 Single vs. Multi vs. Omni-Channel Customer Interactions     77 Customer Journeys     81 Customer Data Intelligence     84 Chapter 7: Data Intelligence Basics     89 Data Origins (Where Does the Data Come From?)     90     Corporate Data     92     Third-Party Data     92     Creating New Corporate Data Intelligence     92 Common Data Sources (Who Produces the Data?)     93     Operations Data     95     Customer Data     95     Social Media Data     95     Public Sector Data     96     Private Sector Data     97 Data Collection Methods (How Is the Data Collected?)     97     Manual Data Entry     98     Automated Data Entry or Collection     98     Telemetry Data Capture     98     Digitization     99     Data Ingress     101 Data Utilization Types (How Is the Data Used?)     101     Analysis and Reporting     101     Automated Decision-Making     102     Solution Input     103     Bot-Driven Automation     103     Model Training and Retraining     103     Historical Record Keeping     104 Chapter 8: Intelligent Decision-Making     105 Manual Decision-Making     107     Computer-Assisted Manual Decision-Making     107 Conditional Automated Decision-Making     108 Intelligent Manual Decision-Making     109 Intelligent Automated Decision-Making     112     Direct-Driven Automated Decision-Making     113     Periodic Automated Decision-Making     114     Realtime Automated Decision-Making     115 Intelligent Manual vs. Intelligent Automated Decision-Making     115 PART II: DIGITAL TRANSFORMATION IN PRACTICE Chapter 9: Understanding Digital Transformation Solutions     121 Distributed Solution Design Basics     122 Data Ingress Basics     127     File Pull     127     File Push     128     API Pull     129     API Push     129     Data Streaming     130 Common Digital Transformation Technologies     132 Chapter 10: An Introduction to Digital Transformation Automation Technologies     135 Cloud Computing     137     Cloud Computing in Practice     138     Common Risks and Challenges     143 Blockchain     144     Blockchain in Practice     145         Partial Business Data Capture     147         Full Business Data Capture     148         Log Data Access Capture     150         Partial Business Data Store     151         Ledger Export     152     Common Risks and Challenges     153 Internet of Things (IoT)     154     IoT Devices     154     IoT in Practice     160     Common Risks and Challenges     163 Robotic Process Automation (RPA)     164     RPA in Practice     165     Common Risks and Challenges     168 Chapter 11: An Introduction to Digital Transformation Data Science Technologies     171 Big Data Analysis and Analytics     172     The Five V's of Big Data     175     Big Data in Practice     177     Common Risks and Challenges     178 Machine Learning     179     Model Training     180     Machine Learning in Practice     180     Common Risks and Challenges     184 Artificial Intelligence (AI)     186     Neural Networks     186     Automated Decision-Making     187     AI in Practice     189     Common Risks and Challenges     189 Chapter 12: Inside a Customer-Centric Solution     193 Scenario Background     195     Business Challenges     195     The Original Customer Journey     196     Business Objectives     201 Terminology Recap     201     Key Terms from Chapter 6: Realizing Customer-Centricity     202     Key Terms from Chapter 7: Data Intelligence Basics     202     Key Terms from Chapter 8: Intelligent Decision-Making     203     Key Terms from Chapter 9: Understanding Digital Transformation Solutions     203     Key Terms from Chapter 10: An Introduction to Digital Transformation Automation Technologies     204     Key Terms from Chapter 11: An Introduction to Digital Transformation Data Science Technologies     204 The Enhanced Customer Journey     204     Supporting Data Sources     205     Step-by-Step Business Process     206 Future Decision-Making     241 About the Authors     243 Index     245
Les mer
Provides realistic, well-structured guidance to help students succeed, every step of the wayOffers complete coverage of risks, challenges, and pitfallsIncludes a “from the ground up” tutorial on the fundamental concepts underlying digital transformationCo-authored by best-selling IT author Thomas Erl
Les mer

Relaterte produkter

Your Complete Guide to Digital Transformation  A Field Guide to Digital Transformation is the definitive book on digital transformation. Top-selling IT author Thomas Erl and long-time practitioner Roger Stoffers combine to provide comprehensive, yet easy-to-understand coverage of essential digital transformation concepts, practices, and technologies in the format of a plain-English tutorial written for any IT professionals, students, or decision-makers.  With more than 160 diagrams, this guide provides a highly visual exploration of what digital transformation is, how it works, and the techniques and technologies required to successfully build modern-day digital transformation solutions. Learn from the experts and: Discover what digital transformation is, why it emerged and when to apply itIdentify the significant business benefits that successful digital transformations can deliver and how to turn your organization into a “disruptive” forcePrepare for and overcome the common challenges associated with digital transformation initiativesUnderstand the data-driven nature of digital transformation solutions and how they use and continually accumulate data intelligenceUnderstand how digital transformation solutions can utilize AI technology for intelligent automated decision-makingGain insight into customer-centricity and how its practices are applied as part of digital transformationsExplore key digital transformation automation technologies, such as Robotic Process Automation (RPA), Internet of Things (IoT), Blockchain. and Cloud ComputingExplore key digital transformation data science technologies, such as Artificial Intelligence (AI), Machine Learning, and Big Data Analysis and Analytics The book concludes with a uniquely detailed and highly visual real-world business scenario that provides step-by-step insights into how a digital transformation solution works, how it utilizes data intelligence to improve customer relationship building, and how it collects new data intelligence in support of enhancing future business capabilities.
Les mer
About This Book     xxvii PART I: DIGITAL TRANSFORMATION FUNDAMENTALS Chapter 1: Understanding Digital Transformation     3 (What is Digital Transformation?)     3 Business, Technology, Data and People     5     Digital Transformation and Business     6     Digital Transformation and Technology     7     Digital Transformation and Data     9     Digital Transformation and People     10     Digital Transformation and Organizations and Solutions     11 Chapter 2: Common Business Drivers     13 (What Led to Digital Transformation?)     13 Losing Touch with Customer Communities     14 Inability to Grow in Stale Marketplaces     16 Inability to Adapt to Rapidly Changing Marketplaces     16 Cold Customer Relationships     19 Inefficient Operations     19 Inefficient Decision-Making     21 Chapter 3: Common Technology Drivers     23 (What Enables Digital Transformation?)     23 Enhanced and Diverse Data Collection     25 Contemporary Data Science     27 Sophisticated Automation Technology     29 Autonomous Decision-Making     29 Centralized, Scalable, Resilient IT Resources     31 Immutable Data Storage     33 Ubiquitous Multiexperience Access     34 Chapter 4: Common Benefits and Goals     37 (Why Undergo a Digital Transformation?)     37 Enhanced Business Alignment     39 Enhanced Automation and Productivity     42 Enhanced Data Intelligence and Decision-Making     44 Improved Customer Experience and Customer Confidence     44 Improved Organizational Agility     48 Improved Ability to Attain Market Growth     50 Chapter 5: Common Risks and Challenges     53 (What Are the Pitfalls?)     53 Poor Data Quality and Data Bias     55 Increased Quantity of Vulnerable Digital Data     55 Resistance to Digital Culture     58 Risk of Over-Automation     59 Difficult to Govern     61 Chapter 6: Realizing Customer-Centricity     63 What Is a Product?     64 What Is a Customer?     65 Product-Centric vs. Customer-Centric Relationships     67 Transaction-Value vs. Relationship-Value Actions     69 Customer-Facing vs. Customer-Oriented Actions     71 Relationship Value and Warmth     71     Warmth in Communication     71     Warmth in Proactive Accommodation     74     Warmth in Customer Rewards     76     Warmth in Exceeding Customer Expectations     76 Single vs. Multi vs. Omni-Channel Customer Interactions     77 Customer Journeys     81 Customer Data Intelligence     84 Chapter 7: Data Intelligence Basics     89 Data Origins (Where Does the Data Come From?)     90     Corporate Data     92     Third-Party Data     92     Creating New Corporate Data Intelligence     92 Common Data Sources (Who Produces the Data?)     93     Operations Data     95     Customer Data     95     Social Media Data     95     Public Sector Data     96     Private Sector Data     97 Data Collection Methods (How Is the Data Collected?)     97     Manual Data Entry     98     Automated Data Entry or Collection     98     Telemetry Data Capture     98     Digitization     99     Data Ingress     101 Data Utilization Types (How Is the Data Used?)     101     Analysis and Reporting     101     Automated Decision-Making     102     Solution Input     103     Bot-Driven Automation     103     Model Training and Retraining     103     Historical Record Keeping     104 Chapter 8: Intelligent Decision-Making     105 Manual Decision-Making     107     Computer-Assisted Manual Decision-Making     107 Conditional Automated Decision-Making     108 Intelligent Manual Decision-Making     109 Intelligent Automated Decision-Making     112     Direct-Driven Automated Decision-Making     113     Periodic Automated Decision-Making     114     Realtime Automated Decision-Making     115 Intelligent Manual vs. Intelligent Automated Decision-Making     115 PART II: DIGITAL TRANSFORMATION IN PRACTICE Chapter 9: Understanding Digital Transformation Solutions     121 Distributed Solution Design Basics     122 Data Ingress Basics     127     File Pull     127     File Push     128     API Pull     129     API Push     129     Data Streaming     130 Common Digital Transformation Technologies     132 Chapter 10: An Introduction to Digital Transformation Automation Technologies     135 Cloud Computing     137     Cloud Computing in Practice     138     Common Risks and Challenges     143 Blockchain     144     Blockchain in Practice     145         Partial Business Data Capture     147         Full Business Data Capture     148         Log Data Access Capture     150         Partial Business Data Store     151         Ledger Export     152     Common Risks and Challenges     153 Internet of Things (IoT)     154     IoT Devices     154     IoT in Practice     160     Common Risks and Challenges     163 Robotic Process Automation (RPA)     164     RPA in Practice     165     Common Risks and Challenges     168 Chapter 11: An Introduction to Digital Transformation Data Science Technologies     171 Big Data Analysis and Analytics     172     The Five V's of Big Data     175     Big Data in Practice     177     Common Risks and Challenges     178 Machine Learning     179     Model Training     180     Machine Learning in Practice     180     Common Risks and Challenges     184 Artificial Intelligence (AI)     186     Neural Networks     186     Automated Decision-Making     187     AI in Practice     189     Common Risks and Challenges     189 Chapter 12: Inside a Customer-Centric Solution     193 Scenario Background     195     Business Challenges     195     The Original Customer Journey     196     Business Objectives     201 Terminology Recap     201     Key Terms from Chapter 6: Realizing Customer-Centricity     202     Key Terms from Chapter 7: Data Intelligence Basics     202     Key Terms from Chapter 8: Intelligent Decision-Making     203     Key Terms from Chapter 9: Understanding Digital Transformation Solutions     203     Key Terms from Chapter 10: An Introduction to Digital Transformation Automation Technologies     204     Key Terms from Chapter 11: An Introduction to Digital Transformation Data Science Technologies     204 The Enhanced Customer Journey     204     Supporting Data Sources     205     Step-by-Step Business Process     206 Future Decision-Making     241 About the Authors     243 Index     245
Les mer
Provides realistic, well-structured guidance to help students succeed, every step of the wayOffers complete coverage of risks, challenges, and pitfallsIncludes a “from the ground up” tutorial on the fundamental concepts underlying digital transformationCo-authored by best-selling IT author Thomas Erl
Les mer

Produktdetaljer

ISBN
9780137571840
Publisert
2022-01-13
Utgiver
Vendor
Addison Wesley
Vekt
570 gr
Høyde
230 mm
Bredde
178 mm
Dybde
14 mm
Aldersnivå
P, 06
Språk
Product language
Engelsk
Format
Product format
Heftet
Antall sider
288

Forfatter
Erl Thomas
Stoffers, Roger

Om bidragsyterne

Thomas Erl is a best-selling IT author who has authored and co-authored 15 books published by Prentice Hall and Pearson Education and dedicated to topics focused on contemporary information technology and practices. These titles were delivered for the Pearson Digital Enterprise Series from Thomas Erl (formerly the Prentice Hall Service Technology Series from Thomas Erl) for which Thomas also acts as series editor.


As founder and president of Arcitura Education (www.arcitura.com), Thomas also leads the development of curricula for internationally recognized, vendor-neutral training and accreditation programs. Arcitura's portfolio currently consists of over 100 courses, over 90 Pearson VUE exams, and over 40 certification tracks, covering topics such as Digital Transformation, Robotic Process Automation (RPA), DevOps, Blockchain, IoT, Containerization, Machine Learning, Artificial Intelligence (AI), Cybersecurity, Service-Oriented Architecture (SOA), Cloud Computing and Big Data Analytics.



Roger Stoffers is a TOGAF-certified Enterprise Architect passionate about Digital Transformation and Integration. Roger has worked for (and with) organizations in Telecommunication, Government and Finance industries, building 25 years of experience in multinational organizations. He has served as principal and lead Enterprise Domain Architect for digital business transformation initiatives, with strong focus for customer relationships and sustainable organizational agility in distributed environments.


Presently Roger works as Enterprise Architect for de Volksbank, fostering Customer Centricity and the organization's Sustainability & Social Responsibility goals with Data-Driven Customer Engagement and Decisioning. Independently, Roger is a worldwide consulting architect for digital transformation and integration, and a senior trainer for (enterprise) architecture topics and contemporary vendor-neutral technology and next-generation IT topics. He is a speaker at conferences about Digital Transformation, SOA and Microservices and Enterprise Architecture. He is a contributor for the Service-Oriented Architecture: Analysis and Design for Service and Microservices book from the Pearson Digital Enterprise Series from Thomas Erl.


Relaterte produkter