The Data Strategy Blueprint: Architecting a Data Strategy that Propels Business Growth

The Data Strategy Blueprint: Architecting a Data Strategy that Propels Business Growth

by Lillian Pierson
Released March 2024
Publisher(s): O'Reilly Media, Inc.
ISBN: 0636920975427

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Video description

Build A Data Strategy to Create Iron-Clad Profit Performance is an online course and toolkit for data professionals who want to get unstuck and up-leveled into their next promotion by delivering fail-proof data strategy plans for their data projects.

What you’ll learn and how you can apply it

  • Build an end-to-end data strategy that creates iron-clad profit performance
  • Protect your company's return on investment into its data skillsets, technologies, and resources
  • Define and execute upon a data strategy plan-building roadmap
  • Assess your company’s current Process, Organization, Technology, and Information to identify prime areas for improvement
  • Assess your company’s data maturity to identify prime areas for improvement
  • Protect your project against failures and delays due to people, processes, and technology
  • Deploy industry-standard best practices that decrease the level of risk associated with, and protect the success of, your data projects
  • Assess and select the most promising use case around which to build your data strategy
  • Draft training plans for retooling existing team members
  • Effectively navigate internal and external turf wars
  • Sell your project idea to stakeholders and solicit buy-in
  • Write a comprehensive data strategy plan that comes supported with reference architecture, documented user needs, and thorough assessment finding to support each and every one of your recommendations
  • Streamline the execution of your data strategy via team-work and delegation

This course is for you because…

Learners need to have some degree of mastery with respect to data technologies and skill sets. They don’t need to know how to build every type of data / data science / data engineering solution under the sun, but they should have a firm understanding of at least data analytics, data science, data management or data engineering.

Prerequisites:

Table of contents

  1. Module 1: Introduction to Data Strategy
    1. Lesson 1.1: Introduction to the Course and Transformation
    2. Lesson 1.2: Introduction to the STAR Framework
    3. Lesson 1.3: Crafting an Effective Strategy: Data Strategy vs AI Strategy
    4. Lesson 1.4: Data Product vs Data Project vs Data Initiative
    5. Lesson 1.5: Introduction to the Vocabulary and Key Terms
    6. Lesson 1.6: Tailoring Your Data Strategy Approach
  2. Module 2: Survey the Industry and Your Organization
    1. Lesson 2.1: Conducting a Quick Tech Assessment
    2. Lesson 2.2: Researching and Identifying Appropriate Case Studies
    3. Lesson 2.3: Researching and Identifying Appropriate Use Cases
    4. Lesson 2.4: Extracting Relevant Information from Existing Documents and Interviews
    5. Lesson 2.5: Identifying the 3 Use Cases that are Most Relevant
  3. Module 3: Perform a Technology Assessment
    1. Lesson 3.1: Identifying Major Technology Gaps Via a Preliminary Technology Gap Analysis
    2. Lesson 3.2: Evaluating Existing Data Inventory For Efficacy and Efficiency
    3. Lesson 3.3: Reviewing and Assessing Existing Reference Architecture
    4. Lesson 3.4: Evaluating Existing Data and Governance Policies
  4. Module 4: Conduct Employee Interviews and Surveys
    1. Lesson 4.1: Defining, Segmenting, and Prioritizing Stakeholders
    2. Lesson 4.2: Requirements Gathering and Stakeholder Interviews
    3. Lesson 4.3: Consulting with Stakeholders about Potential Improvements
    4. Lesson 4.4: Identifying and Surveying Potential Users
  5. Module 5: Review and Assess Data Literacy Needs
    1. Lesson 5.1: Assess Data Literacy Needs
    2. Lesson 5.2: Assessing Company-wide Data Literacy Needs
  6. Module 6: Assess Your Current State Organization
    1. Lesson 6.1: Producing a Basic Process, Organization, Technology, and Model
    2. Lesson 6.2: Assessing Your Organization's Data Maturity
    3. Lesson 6.3: Conducting a Data Skills Survey and Audit
    4. Lesson 6.4: Conducting a Data Resources Audit
  7. Module 7: Assess Your Current-State AI Ethics and Data Privacy
    1. Lesson 7.1: Reviewing Your Company's Legal and Regulatory Frameworks
    2. Lesson 7.2: Gap Analysis for Ensuring AI Accountability, Explainability, and Unbias
  8. Module 8: Select and Scope a “Quick Win” Data Use Case
    1. Lesson 8.1: Select and Scope a "Winning Use Case"
    2. Lesson 8.2: Identifying and Recommending a "Winning Use Case"
    3. Lesson 8.3: Conclusion

Product information

  • Title: The Data Strategy Blueprint: Architecting a Data Strategy that Propels Business Growth
  • Author(s): Lillian Pierson
  • Release date: March 2024
  • Publisher(s): O'Reilly Media, Inc.
  • ISBN: 0636920975427