Data Divination Big Data Strategies 1st Edition by Pam Baker, Bob Gourley ISBN 1305115082 9781305115088

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ISBN 10: 1305115082
ISBN 13: 9781305115088 
Author: Pam Baker, Bob Gourley

Our world is being transformed by big data. The growth of the Internet and the rapid expansion of mobile communications and related technologies have created a massive  flow of data–both structured and unstructured. The availability and use of that data has enormous implications for businesses and for the wider society. Used effectively, big data can drive businesses in the direction of more accurate analyses of vital information, leading ultimately to greater operational efficiencies, cost reductions, reduced risk, speedier innovations, and increased and new revenue. In this book, you’ll find detailed instruction in big data strategy development and implementation, supported by numerous real-world business cases in ten distinct industries. You will learn what big data is and how to wield it–from calculating ROI and making a business case to developing overall and project-specific strategies that actually work. Each chapter answers key questions and will give you the skills you need to make your big data projects succeed. Put big data to work for you and your company today, with DATA DIVINATION: BIG DATA STRATEGIES.

Data Divination Big Data Strategies 1st Edition Table of contents:

Part 1: Understanding Big Data and Its Strategic Importance

1. Introduction to Big Data

   • What is Big Data?
   • The Role of Big Data in Modern Business
   • Evolution of Data and Analytics
   • The Importance of Big Data in Decision-Making

2. The Value of Data: Unlocking Insights

   • Turning Raw Data into Actionable Insights
   • Big Data vs. Traditional Data
   • The Power of Data-Driven Decision Making
   • Case Studies of Big Data Transformations

3. The Big Data Ecosystem

   • Key Technologies and Tools in Big Data
   • Data Warehousing and Data Lakes
   • Cloud Computing and Data Infrastructure
   • The Role of Artificial Intelligence (AI) and Machine Learning (ML)

Part 2: Implementing Big Data Strategies

4. Building a Big Data Strategy

   • Defining Business Goals for Data Utilization
   • Aligning Big Data Projects with Organizational Objectives
   • Identifying Key Data Sources
   • Governance and Security in Big Data Strategy

5. Data Collection and Management

   • Effective Data Collection Techniques
   • Managing Structured and Unstructured Data
   • Data Integration and Data Quality
   • Ensuring Data Accuracy and Consistency

6. Analyzing Big Data: Tools and Techniques

   • Introduction to Data Analytics Methods
   • Predictive Analytics and Forecasting
   • Text Mining, Sentiment Analysis, and Natural Language Processing
   • Big Data Visualization and Reporting Tools

7. Leveraging Cloud and Distributed Computing for Big Data

   • The Role of Cloud Platforms in Big Data
   • Distributed Systems for Handling Large Data Sets
   • Big Data Solutions on Amazon Web Services (AWS), Microsoft Azure, and Google Cloud

Part 3: Real-World Applications and Use Cases

8. Big Data in Business Operations

   • Optimizing Business Processes Using Big Data
   • Enhancing Customer Experience through Data Insights
   • Inventory and Supply Chain Management with Big Data
   • Big Data in Marketing and Sales Strategies

9. Big Data for Competitive Advantage

   • How to Gain Competitive Advantage through Data
   • Identifying Market Trends and Consumer Behavior
   • Developing Data-Driven Products and Services
   • Case Studies of Successful Big Data Strategies in Leading Companies

10. Big Data and Innovation

    • Using Data for New Product Development
    • Innovation in Data Science and Technology
    • The Future of Big Data in Disrupting Industries

Part 4: Managing the Challenges of Big Data

11. Ethical Issues in Big Data

    • Data Privacy and Protection
    • Ethical Implications of Data Collection and Usage
    • Regulatory Compliance: GDPR and Beyond
    • Managing Data Bias and Fairness in Machine Learning Models

12. Data Governance and Security

    • Implementing Data Governance Frameworks
    • Ensuring Data Security and Preventing Breaches
    • Managing Risk in Big Data Environments
    • The Role of Compliance and Auditing

13. Overcoming Challenges in Big Data Adoption

    • Organizational Barriers to Big Data Implementation
    • Managing Resistance to Change
    • Ensuring Cross-Department Collaboration
    • The Skills Gap: Addressing the Need for Data Science Talent

Part 5: The Future of Big Data

14. Emerging Trends in Big Data

    • The Rise of Edge Computing and Internet of Things (IoT)
    • Blockchain and Big Data: A Strategic Partnership
    • The Role of Artificial Intelligence and Automation in Big Data Analytics
    • The Impact of Quantum Computing on Big Data

15. The Future of Data Strategy

    • Evolving Business Models with Big Data
    • The Next Generation of Data-Driven Organizations
    • Big Data in the Era of 5G and Beyond

Appendices

• Appendix A: Big Data Tools and Resources
• Appendix B: Key Data Science and Analytics Terminology
• Appendix C: Further Reading and Online Resources
• Appendix D: A Guide to Building a Data-Driven Organization

Index

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