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Enabling Strategic Decision-Making in Organizations through Dataplex [Kõva köide]

(Searce Inc, UK), (Talaash Research Consultants, India), (Xavier Institute of Management, India)
  • Formaat: Hardback, 168 pages, kõrgus x laius x paksus: 229x152x14 mm, kaal: 362 g
  • Sari: Emerald Points
  • Ilmumisaeg: 23-Jan-2023
  • Kirjastus: Emerald Publishing Limited
  • ISBN-10: 1804550523
  • ISBN-13: 9781804550526
Teised raamatud teemal:
Enabling Strategic Decision-Making in Organizations through DataplexSuurem pilt
  • Formaat: Hardback, 168 pages, kõrgus x laius x paksus: 229x152x14 mm, kaal: 362 g
  • Sari: Emerald Points
  • Ilmumisaeg: 23-Jan-2023
  • Kirjastus: Emerald Publishing Limited
  • ISBN-10: 1804550523
  • ISBN-13: 9781804550526
Teised raamatud teemal:
Püsilink: https://www.kriso.ee/db/9781804550526.html
Märksõnad:

Managing big data and data analytics poses unique challenges to many organisations. The effective use of such data is essential to planning business strategies and ensuring future corporate success. Organizations need to know how best to capitalise on the information that they have access to.

Enabling Strategic Decision-Making in Organizations through Dataplex breaks 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. Dataplex allows for the central management of all data resources in the cloud, removing data silos while also maintaining ethical considerations and policies – the intellectual fabric of data provides a path to centrally monitor, manage and rule the data.

The use of case studies, frameworks and applied models makes this text applicable to data practitioners, managers and strategic planners, as well as researchers focusing on problem solving at the organizational level.



Enabling Strategic Decision-Making in Organizations through Dataplex breaks 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.



Managing big data and data analytics poses unique challenges to many organisations. The effective use of such data is essential to planning business strategies and ensuring future corporate success. Organizations need to know how best to capitalise on the information that they have access to. Enabling Strategic Decision-Making in Organizations through Dataplex breaks 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. Dataplex allows for the central management of all data resources in the cloud, removing data silos while also maintaining ethical considerations and policies – the intellectual fabric of data provides a path to centrally monitor, manage and rule the data. The use of case studies, frameworks and applied models makes this text applicable to data practitioners, managers and strategic planners, as well as researchers focusing on problem solving at the organizational level.
List of Abbreviations
xi
1 The Decision-Making Process at Organizations
1(26)
1.1 Introduction to Decision-Making
1(4)
1.2 The Process of Decision-Making at Organizations
5(3)
1.2.1 Identification of the Actual Problem
6(1)
1.2.2 Figure Out Alternative Solutions
7(1)
1.2.3 Evaluate Current Solutions
7(1)
1.2.4 Choose the Best Alternative
7(1)
1.2.5 Implement Decision
7(1)
1.2.6 Review the Decision
8(1)
1.3 The Three Levels of Decision-Making at Organizations
8(3)
1.3.1 Strategic Decisions
8(1)
1.3.2 Tactical Decisions
9(1)
1.3.3 Operational Decisions
10(1)
1.4 Who Makes Which Level Decisions?
11(3)
1.4.1 Strategic Level Decision-Making
11(1)
1.4.2 Tactical Level Decision-Making
12(1)
1.4.3 Operational Level Decision-Making
13(1)
1.5 The Role of Data in Decision-Making at Strategic Level
14(4)
1.5.1 Optimizing Decision-Making Process
16(1)
1.5.2 Improving Regulatory Compliance
17(1)
1.5.3 Accuracy and Timeliness of Decisions
17(1)
1.5.4 Accountability
17(1)
1.6 Decision-Making Process in Different Business Sectors Across the Industry
18(5)
1.6.1 Information Technology Sector
18(1)
1.6.2 Hospitality Sector
19(1)
1.6.3 Healthcare Sector
20(1)
1.6.4 Education Sector
21(2)
1.7 Summary
23(1)
1.8 Points to Ponder
24(1)
1.9 Think and Answer
25(2)
2 Managing Digital Data -- The Biggest Challenge to Today's Organizations
27(38)
2.1 An overview of Digital Organizations
27(1)
2.2 Concept of Digital Organization -- How Do They Function?
28(3)
2.3 Usage of Information Technology Based Systems at Digital Organizations
31(2)
2.4 How Do Digital Organizations Manage Data?
33(3)
2.5 Pros and Cons Associated with Digital Organizations
36(3)
2.5.1 Digital organization -- Pros
36(1)
2.5.2 Digital organization -- Cons
37(2)
2.6 An Introduction to Database Management System
39(1)
2.7 Types of DBMSs
40(1)
2.8 Centralized DBMS
40(1)
2.9 DDBMSs -- A Detailed Insight
41(4)
2.9.1 Functions of DDBMS
41(1)
2.9.2 Applications of DDBMS
41(1)
2.9.3 Benefits of DDBMS
42(1)
2.9.4 Drawbacks of DDBMS
42(1)
2.9.5 Components of a DDBMS
43(1)
2.9.6 Architecture of DDBMS
44(1)
2.10 Homogeneous DDBMS
45(3)
2.10.1 Architecture of Homogeneous DDBMS
46(1)
2.10.2 Applications of Homogeneous DDBMS
47(1)
2.10.3 Challenges of Homogeneous DDBMS
47(1)
2.10.4 Real-Time Challenges
47(1)
2.11 Heterogeneous DDBMS
48(5)
2.11.1 Architecture of Heterogeneous DDBMS
49(1)
2.11.2 Applications of Heterogeneous DDBMS
50(2)
2.11.3 Challenges of Heterogeneous DDBMS
52(1)
2.11.4 Comparison of Homogenous and Heterogeneous DDBMSs
53(1)
2.12 The Challenges Encountered by Organizations in Managing Digital Data
53(3)
2.12.1 Real-Time Examples
55(1)
2.13 An Introduction to Dataplex
56(6)
2.13.1 Functions of Dataplex
58(1)
2.13.2 Single-Click Permission to IA
59(1)
2.13.3 Key Features of Dataplex
60(2)
2.14 Advantages of Dataplex to today's organizations
62(1)
2.15 Summary
62(1)
2.16 Points to Ponder
63(1)
2.17 Think and Answer
64(1)
3 Strategic Decision-Making Through Integrated Data Analytics
65(12)
3.1 Data Analytics -- An Overview
65(1)
3.2 Types of Data Analytics
66(1)
3.3 Importance of data analytics in today's organizations
67(1)
3.4 Curating, Analyzing, and Integrating Large-Scale Data Using Dataplex
68(2)
3.5 Achieving Strategic Decision-Making Through Integrated Data Analytics
70(1)
3.6 Mapping DaaP with Dataplex
70(4)
3.7 Points to Ponder
74(1)
3.8 Think and Answer
75(2)
4 Digital Organizations and Their Approach Toward Handling Huge Data
77(14)
4.1 Introduction to Data Lifecycle Management
77(2)
4.2 Exploring DLs and Data Zones
79(2)
4.3 Organizing Data Across Multiple Storage Devices
81(3)
4.4 Archiving Data -- One Click Template
84(3)
4.5 Limitations and Challenges of Applying Dataplex in DLM
87(1)
4.6 Summary
88(1)
4.7 Points to Ponder
88(1)
4.8 Think and Answer
89(2)
5 Data Intelligence and its Applications to Organizational Decision-Making
91(14)
5.1 Introduction to Data Intelligence
91(4)
5.2 Application of Dl at Organizations
95(2)
5.3 Benefits of Dl at Organizations
97(3)
5.4 Dl Through Dataplex
100(1)
5.3 Limitations and Challenges
101(2)
5.5.1 Technical Challenges
102(1)
5.5.2 Non-Technical Challenges
102(1)
5.6 Summary
103(1)
5.7 Points to Ponder
103(1)
5.8 Think and Answer
104(1)
6 Organizational Governance Through Dataplex
105(26)
6.1 The Challenges in Today's Organization in Centrally Managing Data
105(2)
6.2 Data Silos in Cloud -- Biggest Hindrance in Sharing Data Within Organizations
107(9)
6.2.1 Data Silos in Healthcare
109(3)
6.2.2 Data Silos in Retail Industry
112(1)
6.2.3 Data Silos in Banking
113(3)
6.3 Steps in Building Data Culture
116(2)
6.4 Creating Data -- Driven Culture at Organizations
118(2)
6.5 Policy Management and Governance in Implementing Dataplex
120(5)
6.6 Monitoring and Auditing Data in Dataplex
125(2)
6.7 CPM and Governance in Dataplex
127(2)
6.8 Summary
129(1)
6.9 Points to Ponder
129(1)
6.10 Think and Answer
129(2)
7 An Organizational Perspective of Deploying Dataplex
131(6)
7.1 Deploying Dataplex at Organizations
131(2)
7.2 Steps in Creating Zone in Dataplex Lake
133(1)
7.3 Steps in Creating Assets in Raw Zone
133(1)
7.4 Steps in Creating Assets in Curated Zone
134(1)
7.5 Best Practices for Deploying Dataplex
134(1)
7.6 Do's and Don'ts While Deploying Dataplex
135(1)
7.7 Summary
135(1)
7.8 Points to Ponder
136(1)
7.9 Think and Answer
136(1)
8 The Future
137(6)
8.1 Organizational Benefits of Dataplex Solution
137(2)
8.2 Limitations and Challenges of Deploying Dataplex on a Real-Time Basis
139(1)
8.3 Strategies for Future Enhancement
140(1)
8.4 Recommendations for Practitioners
141(1)
8.5 Summary
141(1)
8.6 Points to Ponder
142(1)
8.7 Think and Answer
142(1)
References 143(8)
Index 151
Siva Ganapathy Subramanian Manoharan is Associate Vice President (AVP) Global Head of Data and Analytics, Searce Inc, United Kingdom.



Rajalakshmi Subramaniam is the Founder and CEO of Talaash Research Consultants. She is also a Visiting Professor at School of Management, Hindustan Institute of Technology and Science Chennai. Her areas of research includes entrepreneurship, work culture at software organizations, creativity and innovation, agile project management, team work quality and emotional intelligence. 



Sanjay Mohapatra is Professor at the Xavier Institute of Management, India.