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How to Build and Execute a Successful Data Strategy

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Leon Gordon

2:15:28

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  • 01 - Surviving is easier when you have a plan.mp4
    00:58
  • 01 - Key benefits of a well-defined data strategy.mp4
    04:15
  • 02 - Four components of data strategy.mp4
    03:45
  • 01 - Audit your data management.mp4
    02:40
  • 02 - Strengths and weaknesses in data practices.mp4
    02:19
  • 03 - SWOT analysis to identify data strategy opportunities.mp4
    02:25
  • 01 - Identifying and aligning with business objectives.mp4
    04:45
  • 02 - Clear and measurable goals for data initiatives.mp4
    03:35
  • 03 - Business outcomes and data-driven decision-making.mp4
    04:29
  • 04 - Defining data-driven KPIs and metrics to track progress.mp4
    03:18
  • 01 - Identifying data sources.mp4
    03:05
  • 02 - Importance of a data roadmap in todays business landscape.mp4
    02:46
  • 03 - Key benefits of having a well-defined data roadmap.mp4
    01:58
  • 04 - Build a data roadmap.mp4
    03:49
  • 01 - Data architectures Data lakes, data warehouses, etc..mp4
    01:29
  • 02 - Evaluating data infrastructure options.mp4
    05:34
  • 03 - Defining data storage, processing, and integration requirements.mp4
    05:10
  • 04 - Establish data governance policies and procedures for data architecture and infrastructure.mp4
    05:08
  • 01 - Understanding the importance of data governance in data strategy.mp4
    02:02
  • 02 - Defining data governance policies, standards, and guidelines.mp4
    05:52
  • 03 - Establishing data quality processes, data cleansing, and data validation techniques.mp4
    03:53
  • 04 - Implementing data lineage, metadata management, and data cataloging.mp4
    05:26
  • 01 - Creating awareness and understanding of data strategy across the organization.mp4
    03:28
  • 02 - Engaging stakeholders in data initiatives and fostering data literacy.mp4
    04:43
  • 03 - Building a culture of data-driven decision-making and accountability.mp4
    06:43
  • 04 - Establishing mechanisms for data collaboration, data sharing, and data ethics.mp4
    03:46
  • 01 - Understanding the role of data analytics in data strategy.mp4
    02:28
  • 02 - Identifying different types of data analytics Descriptive, diagnostic, predictive, and prescriptive.mp4
    02:09
  • 03 - Leveraging data visualization, data exploration, and data storytelling techniques.mp4
    04:17
  • 04 - Applying data analytics for uncovering insights and making data-driven decisions.mp4
    02:10
  • 01 - Common challenges in data strategy.mp4
    03:00
  • 02 - Strategies to address data privacy and security concerns.mp4
    02:51
  • 03 - Change management for data-driven transformation.mp4
    02:01
  • 04 - Managing data complexity and scalability.mp4
    01:36
  • 01 - Real-world examples of successful data strategy implementation.mp4
    04:53
  • 02 - Best practices for building and executing a data strategy.mp4
    02:10
  • 03 - Case studies Failures to execute data strategy.mp4
    02:24
  • 01 - Recap of key concepts covered in the course.mp4
    02:24
  • 02 - Next steps Implement data strategy in your organization.mp4
    03:32
  • 03 - Final thoughts on the importance of data strategy in todays business landscape.mp4
    02:12
  • Description


    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.

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    LinkedIn Learning is an American online learning provider. It provides video courses taught by industry experts in software, creative, and business skills. It is a subsidiary of LinkedIn. All the courses on LinkedIn fall into four categories: Business, Creative, Technology and Certifications. It was founded in 1995 by Lynda Weinman as Lynda.com before being acquired by LinkedIn in 2015. Microsoft acquired LinkedIn in December 2016.
    • language english
    • Training sessions 40
    • duration 2:15:28
    • Release Date 2024/08/12