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Building a Data Strategy Roadmap: From Vision to Execution

person icon Daniel Pham

4.1

Building a Data Strategy Roadmap: From Vision to Execution

Data Strategy

updated on icon Updated on May, 2024

language icon Language - English

person icon Daniel Pham

category icon Data Management,Data and Information Management

Lectures -36

Resources -1

Duration -2.5 hours

4.1

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Course Description

In today's data-driven world, organizations need a well-defined data strategy to unlock the full potential of their data assets. Building a Data Strategy Roadmap from Vision to Execution is a comprehensive course designed to equip you with the knowledge and skills to develop and implement an effective data strategy that aligns with your organization's goals.


Whether you're an executive, manager, or data professional, this course will guide you through the entire process of creating a data strategy roadmap, from defining your data vision to executing the necessary steps for success. You'll learn industry best practices and gain practical insights into assessing your current data landscape, identifying data initiatives, and establishing a data governance framework.


Key topics covered in this course include:


1. Understanding the importance of a data strategy and its impact on organizational success.

2. Defining your data vision and aligning it with business objectives.

3. Assessing the current state of your data management practices using industry frameworks like DAMA-DMBOK.

4. Identifying and prioritizing data initiatives based on business needs and opportunities.

5. Establishing a data governance framework to ensure data quality, security, and compliance.

6. Developing a data strategy roadmap that outlines the necessary steps for execution.

7. Implementing data initiatives, including data governance, data infrastructure, and advanced analytics.

8. Monitoring and evaluating the effectiveness of your data strategy to drive continuous improvement.


Throughout the course, you'll have access to practical examples, real-world case studies, and interactive exercises to enhance your learning experience. By the end of the course, you'll have the knowledge and tools to develop a robust data strategy roadmap that will enable your organization to leverage data for informed decision-making and achieve sustainable growth.


Don't miss this opportunity to transform your organization's data landscape and become a data-driven leader. Enroll now and start building your data strategy roadmap from vision to execution.

Goals

What will you learn in this course:

  • What is data strategy & why it is very important?

  • Data governance & management related frameworks: DAMA, DCAM, COBIT, TOGAF, ISO 8000, CMMI

  • How to align it with business strategy, business initiatives?

  • How to build a good and realistic data strategy roadmap step by step? From Vision to Mission, Business Strategy Alignment, BOD’s Direction Alignment

  • How to do Data Assessment under DAMA-DMBOK’s Data Management Framework

  • What are data domains such as data governance, data platform, data analytics are required to build a data strategy roadmap?

  • How to execute data strategy in practice? What are key steps involved, What are some common practical use cases?

Prerequisites

What are the prerequisites for this course?

  • Basic understanding of data management concepts

  • Familiarity with data-related technologies

  • Knowledge of business strategy and objectives

Building a Data Strategy Roadmap: From Vision to Execution

Curriculum

Check out the detailed breakdown of what’s inside the course

Introduction
4 Lectures
  • play icon Introduction 03:17 03:17
  • play icon Course Outline and Key Learning Outcomes 03:26 03:26
  • play icon Get the Matterial
  • play icon A Fictitious Bank: "GlobalFinance" 03:31 03:31
Positioning Data Strategy
4 Lectures
Tutorialspoint
How a corporate build the data strategy
22 Lectures
Tutorialspoint
Data Strategy Execution
5 Lectures
Tutorialspoint
Summary Session
1 Lectures
Tutorialspoint

Instructor Details

Daniel Pham

Daniel Pham

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