How to Build and Execute a Successful Data Strategy

内容

• Introduction Introduction

  • Surviving is easier when you have a plan

    58 秒
• 1. Beginning Your Data Strategy 1. Beginning Your Data Strategy

  • Key benefits of a well-defined data strategy

    4 分钟 15 秒
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    Four components of data strategy

    3 分钟 45 秒
• 2. Assessing Organizational Data Maturity 2. Assessing Organizational Data Maturity

  • Audit your data management

    2 分钟 40 秒
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    Strengths and weaknesses in data practices

    2 分钟 19 秒
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    SWOT analysis to identify data strategy opportunities

    2 分钟 25 秒
• 3. Defining Business Goals and Objectives 3. Defining Business Goals and Objectives

  • Identifying and aligning with business objectives

    4 分钟 45 秒
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    Clear and measurable goals for data initiatives

    3 分钟 35 秒
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    Business outcomes and data-driven decision-making

    4 分钟 29 秒
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    Defining data-driven KPIs and metrics to track progress

    3 分钟 18 秒
• 4. Developing a Data Roadmap 4. Developing a Data Roadmap

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    Identifying data sources

    3 分钟 5 秒
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    Importance of a data roadmap in today's business landscape

    2 分钟 46 秒
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    Key benefits of having a well-defined data roadmap

    1 分钟 58 秒
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    Build a data roadmap

    3 分钟 49 秒
• 5. Creating Data Architecture and Infrastructure 5. Creating Data Architecture and Infrastructure

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    Data architectures: Data lakes, data warehouses, etc.

    1 分钟 29 秒
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    Evaluating data infrastructure options

    5 分钟 34 秒
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    Defining data storage, processing, and integration requirements

    5 分钟 10 秒
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    Establish data governance policies and procedures for data architecture and infrastructure

    5 分钟 8 秒
• 6. Implementing Data Governance and Data Quality 6. Implementing Data Governance and Data Quality

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    Understanding the importance of data governance in data strategy

    2 分钟 2 秒
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    Defining data governance policies, standards, and guidelines

    5 分钟 52 秒
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    Establishing data quality processes, data cleansing, and data validation techniques

    3 分钟 53 秒
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    Implementing data lineage, metadata management, and data cataloging

    5 分钟 26 秒
• 7. Building a Data-Driven Culture 7. Building a Data-Driven Culture

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    Creating awareness and understanding of data strategy across the organization

    3 分钟 28 秒
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    Engaging stakeholders in data initiatives and fostering data literacy

    4 分钟 43 秒
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    Building a culture of data-driven decision-making and accountability

    6 分钟 43 秒
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    Establishing mechanisms for data collaboration, data sharing, and data ethics

    3 分钟 46 秒
• 8. Leveraging Data Analytics for Insights 8. Leveraging Data Analytics for Insights

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    Understanding the role of data analytics in data strategy

    2 分钟 28 秒
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    Identifying different types of data analytics: Descriptive, diagnostic, predictive, and prescriptive

    2 分钟 9 秒
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    Leveraging data visualization, data exploration, and data storytelling techniques

    4 分钟 17 秒
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    Applying data analytics for uncovering insights and making data-driven decisions

    2 分钟 10 秒
• 9. Overcoming Challenges in Data Strategy Implementation 9. Overcoming Challenges in Data Strategy Implementation

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    Common challenges in data strategy

    3 分钟
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    Strategies to address data privacy and security concerns

    2 分钟 51 秒
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    Change management for data-driven transformation

    2 分钟 1 秒
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    Managing data complexity and scalability

    1 分钟 36 秒
• 10. Case Studies and Best Practices 10. Case Studies and Best Practices

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    Real-world examples of successful data strategy implementation

    4 分钟 53 秒
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    Best practices for building and executing a data strategy

    2 分钟 10 秒
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    Case studies: Failures to execute data strategy

    2 分钟 24 秒
• Conclusion Conclusion

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    Recap of key concepts covered in the course

    2 分钟 24 秒
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    Next steps: Implement data strategy in your organization

    3 分钟 32 秒
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    Final thoughts on the importance of data strategy in today's business landscape

    2 分钟 12 秒