Enabling strategic decision-making in organizations through dataplex /

Enabling Strategic Decision-Making in Organizations through Dataplexbreaks down the role of data in strategic decision making, examining the organizational benefits but also utilising real-world examples of limitations and challenges and how these can be overcome.

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Bibliographic Details
Main Authors: Manoharan, Siva Ganapathy Subramanian (Author)
Group Author: Subramaniam, Rajalakshmi; Mohapatra, Sanjay.
Published: Emerald Publishing Limited,
Publisher Address: Bingley, UK :
Publication Dates: 2023.
Literature type: Book
Language: English
Edition: First edition.
Series: Emerald Points
Subjects:
Summary: Enabling Strategic Decision-Making in Organizations through Dataplexbreaks down the role of data in strategic decision making, examining the organizational benefits but also utilising real-world examples of limitations and challenges and how these can be overcome.
Carrier Form: xi, 156 pages : illustrations ; 24 cm.
Bibliography: Includes bibliographical references (pages 143-150) and index.
ISBN: 9781804550526
1804550523
Index Number: HD30
CLC: C934-39
Call Number: C934-39/M285
Contents: Intro -- Half Title Page -- Title Page -- Copyright Page -- Contents -- List of Abbreviations -- 1: The Decision-Making Process at Organizations -- 1.1. Introduction to Decision-Making -- 1.2. The Process of Decision-Making at Organizations -- 1.2.1. Identification of the Actual Problem -- 1.2.2. Figure Out Alternative Solutions -- 1.2.3. Evaluate Current Solutions -- 1.2.4. Choose the Best Alternative -- 1.2.5. Implement Decision -- 1.2.6. Review the Decision -- 1.3. The Three Levels of Decision-Making at Organizations -- 1.3.1. Strategic Decisions -- 1.3.2. Tactical Decisions
1.3.3. Operational Decisions -- 1.4. Who Makes Which Level Decisions? -- 1.4.1. Strategic Level Decision-Making -- 1.4.2. Tactical Level Decision-Making -- 1.4.3. Operational Level Decision-Making -- 1.5. The Role of Data in Decision-Making at Strategic Level -- 1.5.1. Optimizing Decision-Making Process -- 1.5.2. Improving Regulatory Compliance -- 1.5.3. Accuracy and Timeliness of Decisions -- 1.5.4. Accountability -- 1.6. Decision-Making Process in Different Business Sectors Across the Industry -- 1.6.1. Information Technology Sector -- 1.6.2. Hospitality Sector -- 1.6.3. Healthcare Sector
1.6.4. Education Sector -- 1.7. Summary -- 1.8. Points to Ponder -- 1.9. Think and Answer -- 2: Managing Digital Data -- The Biggest Challenge to Today's Organizations -- 2.1. An Overview of Digital Organizations -- 2.2. Concept of Digital Organization -- How Do They Function? -- 2.3. Usage of Information Technology Based Systems at Digital Organizations -- 2.4. How Do Digital Organizations Manage Data? -- 2.5. Pros and Cons Associated with Digital Organizations -- 2.5.1. Digital Organization -- Pros -- 2.5.2. Digital Organization -- Cons -- 2.6. An Introduction to Database Management System
2.7. Types of DBMSs -- 2.8. Centralized DBMS -- 2.9. DDBMSs -- A Detailed Insight -- 2.9.1. Functions of DDBMS -- 2.9.2. Applications of DDBMS -- 2.9.3. Benefits of DDBMS -- 2.9.4. Drawbacks of DDBMS -- 2.9.5. Components of a DDBMS -- 2.9.6. Architecture of DDBMS -- 2.10. Homogeneous DDBMS -- 2.10.1. Architecture of Homogeneous DDBMS -- 2.10.2. Applications of Homogeneous DDBMS -- 2.10.3. Challenges of Homogeneous DDBMS -- 2.10.4. Real-Time Challenges -- 2.11. Heterogeneous DDBMS -- 2.11.1. Architecture of Heterogeneous DDBMS -- 2.11.2. Applications of Heterogeneous DDBMS
2.11.3. Challenges of Heterogeneous DDBMS -- 2.11.4. Comparison of Homogenous and Heterogeneous DDBMSs -- 2.12. The Challenges Encountered by Organizations in Managing Digital Data -- 2.12.1. Real-Time Examples -- 2.13. An Introduction to Dataplex -- 2.13.1. Functions of Dataplex -- 2.13.2. Single-Click Permission to IA -- 2.13.3. Key Features of Dataplex -- 2.14. Advantages of Dataplex to Today's Organizations -- 2.15. Summary -- 2.16. Points to Ponder -- 2.17. Think and Answer -- 3: Strategic Decision-Making Through Integrated Data Analytics -- 3.1. Data Analytics -- An Overview