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How to Build and Execute a Successful Data Strategy

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Are you aware of the importance of having an effective data strategy, but not sure how to develop one or implement it? In this course, instructor Leon Gordon covers a wide range of data strategy-related topics, such as how to assess organizational data maturity, define business goals and objectives, develop a data road map, create data architecture and infrastructure, and implement data governance and data quality. Learn how to build a strategic business culture that prioritizes data-driven decision-making and organizational success. Explore the fundamentals of leveraging data analytics for insights and overcoming challenges in data strategy implementation. Along the way, Leon offers insights from real-world case studies highlighting best practices for effective data strategy development and execution.


01 - Introduction
  • 01 - Surviving is easier when you have a plan

  • 02 - 1. Beginning Your Data Strategy
  • 01 - Key benefits of a well-defined data strategy
  • 02 - Four components of data strategy

  • 03 - 2. Assessing Organizational Data Maturity
  • 01 - Audit your data management
  • 02 - Strengths and weaknesses in data practices
  • 03 - SWOT analysis to identify data strategy opportunities

  • 04 - 3. Defining Business Goals and Objectives
  • 01 - Identifying and aligning with business objectives
  • 02 - Clear and measurable goals for data initiatives
  • 03 - Business outcomes and data-driven decision-making
  • 04 - Defining data-driven KPIs and metrics to track progress

  • 05 - 4. Developing a Data Roadmap
  • 01 - Identifying data sources
  • 02 - Importance of a data roadmap in todays business landscape
  • 03 - Key benefits of having a well-defined data roadmap
  • 04 - Build a data roadmap

  • 06 - 5. Creating Data Architecture and Infrastructure
  • 01 - Data architectures Data lakes, data warehouses, etc.
  • 02 - Evaluating data infrastructure options
  • 03 - Defining data storage, processing, and integration requirements
  • 04 - Establish data governance policies and procedures for data architecture and infrastructure

  • 07 - 6. Implementing Data Governance and Data Quality
  • 01 - Understanding the importance of data governance in data strategy
  • 02 - Defining data governance policies, standards, and guidelines
  • 03 - Establishing data quality processes, data cleansing, and data validation techniques
  • 04 - Implementing data lineage, metadata management, and data cataloging

  • 08 - 7. Building a Data-Driven Culture
  • 01 - Creating awareness and understanding of data strategy across the organization
  • 02 - Engaging stakeholders in data initiatives and fostering data literacy
  • 03 - Building a culture of data-driven decision-making and accountability
  • 04 - Establishing mechanisms for data collaboration, data sharing, and data ethics

  • 09 - 8. Leveraging Data Analytics for Insights
  • 01 - Understanding the role of data analytics in data strategy
  • 02 - Identifying different types of data analytics Descriptive, diagnostic, predictive, and prescriptive
  • 03 - Leveraging data visualization, data exploration, and data storytelling techniques
  • 04 - Applying data analytics for uncovering insights and making data-driven decisions

  • 10 - 9. Overcoming Challenges in Data Strategy Implementation
  • 01 - Common challenges in data strategy
  • 02 - Strategies to address data privacy and security concerns
  • 03 - Change management for data-driven transformation
  • 04 - Managing data complexity and scalability

  • 11 - 10. Case Studies and Best Practices
  • 01 - Real-world examples of successful data strategy implementation
  • 02 - Best practices for building and executing a data strategy
  • 03 - Case studies Failures to execute data strategy

  • 12 - Conclusion
  • 01 - Recap of key concepts covered in the course
  • 02 - Next steps Implement data strategy in your organization
  • 03 - Final thoughts on the importance of data strategy in todays business landscape
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    تاریخ انتشار: 22 مرداد 1403
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