How to Build and Execute a Successful Data Strategy

سرفصل های دوره

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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تولید کننده: LinkedIn Learning (Lynda)