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  • 1
    Online Resource
    Online Resource
    Cham :Springer International Publishing,
    UID:
    edoccha_BV045270362
    Format: 1 Online-Ressource (XXVIII, 285 Seiten) : , 265 Illustrationen, 157 Illustrationen (farbig).
    ISBN: 978-3-319-95663-3
    Series Statement: Advances in Analytics and Data Science volume 2
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-319-95662-6
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-319-95664-0
    Language: English
    Subjects: Computer Science , Sociology
    RVK:
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    Keywords: Text Mining
    URL: Volltext  (URL des Erstveröffentlichers)
    Author information: Anandarajan, Murugan 1961-
    Library Location Call Number Volume/Issue/Year Availability
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  • 2
    UID:
    almafu_BV045240065
    Format: 1 Online-Ressource (XIX, 211 Seiten) : , 38 Illustrationen, 25 Illustrationen (farbig).
    ISBN: 978-3-319-93299-6
    Series Statement: Advances in Analytics and Data Science volume 1
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-319-93298-9
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-319-93300-9
    Language: English
    Subjects: Computer Science
    RVK:
    Keywords: Business Intelligence ; Data Mining ; Aufsatzsammlung ; Konferenzschrift ; Aufsatzsammlung ; Konferenzschrift
    URL: Volltext  (URL des Erstveröffentlichers)
    URL: Volltext  (URL des Erstveröffentlichers)
    Author information: Anandarajan, Murugan 1961-
    Library Location Call Number Volume/Issue/Year Availability
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  • 3
    Online Resource
    Online Resource
    Cham :Springer International Publishing,
    UID:
    edocfu_BV045270362
    Format: 1 Online-Ressource (XXVIII, 285 Seiten) : , 265 Illustrationen, 157 Illustrationen (farbig).
    ISBN: 978-3-319-95663-3
    Series Statement: Advances in Analytics and Data Science volume 2
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-319-95662-6
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-319-95664-0
    Language: English
    Subjects: Computer Science , Sociology
    RVK:
    RVK:
    RVK:
    RVK:
    Keywords: Text Mining
    URL: Volltext  (URL des Erstveröffentlichers)
    Author information: Anandarajan, Murugan 1961-
    Library Location Call Number Volume/Issue/Year Availability
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  • 4
    UID:
    b3kat_BV045270362
    Format: 1 Online-Ressource (XXVIII, 285 Seiten) , 265 Illustrationen, 157 Illustrationen (farbig)
    ISBN: 9783319956633
    Series Statement: Advances in Analytics and Data Science volume 2
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-319-95662-6
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-319-95664-0
    Language: English
    Subjects: Computer Science , Sociology
    RVK:
    RVK:
    RVK:
    RVK:
    Keywords: Text Mining
    URL: Volltext  (URL des Erstveröffentlichers)
    Author information: Anandarajan, Murugan 1961-
    Library Location Call Number Volume/Issue/Year Availability
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  • 5
    UID:
    almahu_BV017430805
    Format: X, 268 S. : Ill., graph. Darst.
    ISBN: 3-540-40820-7
    Note: Literaturverz. S. 243 - 262
    Language: English
    Subjects: Economics
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    Keywords: Business Intelligence ; Management Accounting ; Data-Warehouse-Konzept ; Aufsatzsammlung ; Aufsatzsammlung ; Aufsatzsammlung ; Aufsatzsammlung
    Author information: Anandarajan, Murugan, 1961-
    Library Location Call Number Volume/Issue/Year Availability
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  • 6
    Online Resource
    Online Resource
    Berlin : Springer Berlin
    UID:
    b3kat_BV036612098
    Format: 1 Online-Ressource (XVII, 326 S.)
    Edition: 1. ed.
    ISBN: 9783642122576
    Additional Edition: Erscheint auch als Druck-Ausgabe, Hardcover ISBN 978-3-642-12256-9
    Language: English
    Subjects: General works
    RVK:
    Keywords: Wissenschaftliche Kooperation ; Internet
    Author information: Anandarajan, Murugan 1961-
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  • 7
    UID:
    b3kat_BV046679269
    Format: 1 Online-Ressource (x, 268 Seiten)
    ISBN: 9783540247005
    Content: Modern businesses generate huge volumes of accounting data on a daily basis. The recent advancements in information technology have given organizations the ability to capture and store these data in an efficient and effective manner. However, there is a widening gap between this data storage and usage of the data. Business intelligence techniques can help an organization obtain and process relevant accounting data quickly and cost efficiently. Such techniques include, query and reporting tools, online analytical processing (OLAP), statistical analysis, text mining, data mining, and visualization. Business Intelligence Techniques is a compilation of chapters written by experts in the various areas. While these chapters stand of their own, taken together they provide a comprehensive overview of how to exploit accounting data in the business environment
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-642-07403-5
    Language: English
    Keywords: Business Intelligence ; Management Accounting ; Data-Warehouse-Konzept ; Aufsatzsammlung
    URL: Volltext  (URL des Erstveröffentlichers)
    URL: Volltext  (lizenzpflichtig)
    Author information: Anandarajan, Murugan 1961-
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  • 8
    UID:
    almahu_BV036778068
    Format: XVII, 326 S. ; , 235 mm x 155 mm.
    ISBN: 978-3-642-12256-9 , 978-3-642-12257-6
    Note: Elektron. Ressource u.d.T.: Anandarajan, Murugan: e-Research Collaboration
    Language: English
    Subjects: General works
    RVK:
    Keywords: Wissenschaftliche Kooperation ; Internet
    URL: Cover
    Author information: Anandarajan, Murugan, 1961-
    Library Location Call Number Volume/Issue/Year Availability
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  • 9
    Online Resource
    Online Resource
    Cham :Springer International Publishing,
    UID:
    almafu_BV045270362
    Format: 1 Online-Ressource (XXVIII, 285 Seiten) : , 265 Illustrationen, 157 Illustrationen (farbig).
    ISBN: 978-3-319-95663-3
    Series Statement: Advances in Analytics and Data Science volume 2
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-319-95662-6
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-319-95664-0
    Language: English
    Subjects: Computer Science , Sociology
    RVK:
    RVK:
    RVK:
    RVK:
    Keywords: Text Mining
    URL: Volltext  (URL des Erstveröffentlichers)
    Author information: Anandarajan, Murugan 1961-
    Library Location Call Number Volume/Issue/Year Availability
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  • 10
    UID:
    b3kat_BV047689071
    Format: 1 online resource (181 pages)
    ISBN: 9781000353211
    Series Statement: Routledge Studies in Leadership Research Ser
    Note: Description based on publisher supplied metadata and other sources , Intro -- Half Title -- Series Page -- Title Page -- Copyright Page -- Contents -- List of Figures and Table -- Preface -- References -- Acknowledgments -- About the authors -- 1. What is the Digital Supply Chain? -- Closing the Performance Gap -- The DSC Transformation Framework -- Digital Technology Performance Factors -- Employee and Organizational Performance Factors -- Transformational Performance Outcomes -- Discussion Questions -- Chapter One Summary -- References -- 2. The Customer-Centric Supply Chain -- The use of Big Data and Analytics in Becoming a DSC -- The Analytics Maturity Curve -- The Analytics and AI/ML Portfolio Management Strategy -- The Future of Forecasting with Artificial Intelligence -- Leadership Issues -- Summary -- References -- 3. Demand Management, Forecasting, and Stimulating Demand -- Leadership Actions Needed for Driving Supply Chain Revenue Growth -- Internal Functional Interactions Needed -- External Interactions Needed -- Demand Management - It's All about the Data -- The Secret to Demand Management Performance Breakthroughs - Predictive Analytics -- Data Sources that Drive the Digital Supply Chain -- The Quest for Elusive POS Data -- Why is POS data so hard to obtain? -- What Can Supply Chain Leaders Do to Access POS and Consumer Insights? -- Digital Data Negotiations Approach -- Overview -- Stage One - Preparing to Negotiate With Data -- Steps in Stage One: Prepare -- Stage Two - Explore Data Negotiations Options -- Steps in Stage Two: Explore -- Stage Three - Collaboratively Choose Among Data Negotiations Options -- Steps in Stage Three: Collaborate -- Stage Four - Monitor and Enforce Data Negotiations Agreements -- Steps in Stage Four: Monitor and Enforce Agreements -- Taking the Next Steps - What Actions Can Leaders Take Now? -- Leadership Actions to Drive Digital Transformation , A Set of Demand Data Action Steps - A Leader's Guide -- Leadership Tools - Guiding Questions for You and Your Teams -- Driving Questions - Demand Management -- Case Example -- Global Manufacturer and Brand Marketer of Consumer-packaged Goods -- Industry and Competitive Landscape -- Organizational Situation -- Leadership Response -- Digital Supply Chain Implications - Actions -- Digital Supply Chain Readiness -- Digital Supply Chain Case Questions -- Summary -- References -- 4. Leading a Demand-Driven Supply Chain -- Where Do I Start the Digital Journey? -- The DSC Leadership Road Map -- DSC Transformational Performance Goals -- Step One - Who Are Your Customers? -- Who are your customers? - What are their characteristics? - How can we meet/exceed customer expectations? -- Step Two - Using Analytics to Uncover Segment Opportunities -- What are The "Non-intuitive" Insights We Can Develop About Our Customers and Consumers? -- Step Three - Designing the New Digital Supply Chain Segment -- What Is The Best Digital Supply Chain for Each Segment? - Is There A Business Model Innovation Needed or Possible? -- DSC Segment Design Example -- DSC Segment Initial Design -- DSC Opportunities -- Step Four - Business Model Review Cycle -- Step Five - What Talent, Skills and Capabilities Do I Need to Execute This Design? -- Step Six - Which Technologies Are Available to Execute This Design? -- Step Seven - What New Business Risks Might This Design Create? -- Case Example -- Case: Multinational Manufacturer and Brand Marketer/Retailor of Cosmetics -- Industry and Competitive Landscape -- Organizational Situation -- Leadership Response -- The Power of Structured Dialog in Solving Supply Chain Problems -- Digital Supply Chain Case Questions -- Summary -- References -- 5. Digital Supply Chain Talent and Organizational Strategies , Attacking the Problem - A DSC Talent Model -- Key Insights and Implications for DSC Talent Planning -- Talent and Organizational Strategy Key Insights: Attract and Acquire -- Attract and Acquire: Implications for Talent Planning -- Talent and Organizational Strategy Key Insights: Build and Develop -- Build and Develop: Implications for Talent Planning -- Talent and Organizational Strategy Key Insights: Integrate and Perform -- Integrate and Perform: Implications for Talent Planning -- Taking Action: Key Insights for Talent and Organization -- Develop New (Non-Traditional) DSC Talent Plans -- Develop Action Plans and Set Goals -- Drive Performance and Action -- Organizational Structures -- Key Role Definitions -- Data Scientist Profile -- Data Steward Profile -- Data Engineers Profile -- Chapter 5 Case Example -- Multinational Manufacturer and Brand Marketer of Packaged Foods -- Industry and Competitive Landscape -- Organizational Situation -- Market Trends Impacting Business Performance -- Leadership Response -- DSC Implications - Actions -- DSC Readiness -- Digital Supply Chain Case Questions -- Summary -- References -- 6. Digital Supply Chain Technology Management -- The Story of the Internet Connected Running Shoe -- From HOVR to ArchiTech, a Technology Evolution -- Next Up: Performance Coaching -- What Large Amounts of Meaningful Data from Consumers Means for Supply Chains -- The Game-Changing Technology of Generative Design -- Big Data + Generative Design +3D printing = A Totally New Kind of Product -- The Design Outcome: The 3D Printed UA ArchiTech Shoe -- What Does This Supply Chain System Look Like? -- Taking the Next Steps - What Actions Can Leaders Take Now? -- Leadership Actions to Drive Digital Transformation -- Leadership Tools - Guiding Questions for You and Your Teams -- Driving Questions - Technology Management , Concluding Thoughts on Technology Leadership -- Case Example -- Case: Multinational Manufacturer and Brand Marketer of Pharmaceuticals -- Industry and Competitive Landscape -- Organizational Situation -- Leadership Response -- Focus on Digital Talent -- DSC Implications - Actions -- Digital Supply Chain Case Questions -- Summary -- Notes -- References -- 7. Understanding and Managing Digital Supply Chain Risks -- Why Is Business Risk Different in Digital Supply Chains? -- Increase in Data Complexity -- Increase in Data Connectedness -- The Number and Variety of Business and Compliance Risks Are Increasing -- Some Implications of Managing Supply Chain Risks -- Developing a Risk Management Culture -- Developing Risk Management Maturity -- Being Selective in Managing Supply Chain Risks -- Case Example -- Multinational Conglomerate Manufacturer and Brand Marketer of Building Products and Industrial Chemicals -- Industry and Competitive Landscape -- Organizational Situation -- Leadership Response -- Data Quality and Integration -- Technology Efforts -- Talent and Organizational Efforts -- Digital Supply Chain Case Questions -- Summary -- Notes -- References -- 8. Becoming an End-to-End Integrated Supply Chain -- The Need for Organizational Learning of Integrator Behaviors -- People Are the Key to Navigating Supply Chain Digital Disruption -- Key Dimensions of Digital Supply Chain People Performance -- The Digital Supply Chain Leader -- Organizational-Level Strategies and Measures -- Individual Attitudes, Beliefs, and Behaviors -- The Supply Chain Leadership Mindset -- Digital Supply Chain Integrators -- Developing Digital Supply Chain Leaders -- The Digital Difference -- Executive Level Integration - What to Do About It -- A Note on Metrics and Measurement -- Digital Supply Chain Strategy Development -- Case Example , Case: Multinational Manufacturer, Brand Marketer, and Director Retailor of Computer Hardware -- Industry and Competitive Landscape -- Organizational Situation -- Leadership Response -- The People and Leadership Component -- Digital Supply Chain Case Questions -- Summary -- Notes -- References -- 9. Leading and Developing a Transformation Action Plan -- Current and Ongoing Supply Chain Leadership Challenges -- The COVID-19 Shock -- Some Longer-Term Changes to Supply Chains -- The Hidden Upside - Change May Now Be Possible -- Developing Action Plans for DSC Transformation -- The DSC Maturity Model for Leadership Actions -- Leadership Focus -- Operational Focus -- People Focus -- Technology Focus -- The Role of the Chief Supply Chain Officer -- Summary -- References -- 10. The Supply Chain Leadership Mindset -- Theme One: External Forces Requiring Change Leadership -- Theme One: External Forces and What Firms Are Doing About It -- Theme One: External Forces and What Still Needs To Be Done -- Theme Two: Data Issues are Pervasive -- Theme Two: Data Issues and What Is Being Done -- Theme Three: What Are We Measuring? -- Theme Four: Developing a Supply Chain Leadership Mindset -- Appendix A: Example Digital Supply Chain Metrics -- Revenue Change from DSC Actions -- What -- Why -- How -- Revenue Increase from Platform Utilization -- What -- Why -- How -- Percentage Growth in Demand due to DSC Actions -- What -- Why -- How -- Percentage of Perfect Orders from Automation -- What -- Why -- How -- Number of Days Latency in Demand Shaping/Management -- What -- Why -- How -- Net Promoter Score for DSC -- What -- Why -- How -- Total DSC Talent Cost/ Percentage of Sales -- What -- Why -- How -- Revenue Balance between Peak and Non-Peak Demand -- What -- Why -- How -- Revenue Size of DSC Enabled Business Models Created -- What -- Why -- How , Revenue Increase per Supply Chain Employee due to DSC Actions
    Additional Edition: Erscheint auch als Druck-Ausgabe Kurz, David B. Digital Supply Chain Leadership Milton : Taylor & Francis Group,c2021 ISBN 9780367263171
    Language: English
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