Create a Data Strategy Roadmap: Vision to Execution

Building a Data Strategy Roadmap: From Vision to Execution

Developing a Comprehensive Data Strategy to Drive Business Success

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Last Updated: 2024-11-27 05:11:12 English Course Type: Self Learning

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?

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.

Basic understanding of data management concepts
Familiarity with data-related technologies
Knowledge of business strategy and objectives

Data Managers and Data Professionals
Business Leaders and Executives
Enterprise Data Architect
IT Managers and Technology Professionals
IT & Data Consultants and Advisors
Everyone would like to know full aspect of data governance & management concepts

Section 1 : Introduction 4 Lectures 00:00:00
Lecture 1 :
Introduction Preview
Lecture 2 :
Course Outline and Key Learning Outcomes
Lecture 3 :
Get the Matterials
Lecture 4 :
A Fictitious Bank: "GlobalFinance"
Section 2 : Positioning Data Strategy 4 Lectures 00:00:00
Lecture 1 :
Definition and characteristic of Data Strategy
Lecture 2 :
Why is a data strategy important
Lecture 3 :
Data governance & management related frameworks
Lecture 4 :
Data governance & management frameworks
Section 3 : How a corporate build the data strategy 22 Lectures 00:00:00
Lecture 1 :
How “GlobalFinance” built their data strategy
Lecture 2 :
How “GlobalFinance” built their data strategy - Part 1
Lecture 3 :
How “GlobalFinance” built their data strategy - Part 2
Lecture 4 :
How “GlobalFinance” built their data strategy - Part 2 (Cont.)
Lecture 5 :
How “GlobalFinance” built their data strategy - Part 2 (Cont.)
Lecture 6 :
How “GlobalFinance” built their data strategy - Part 2 (Cont.)
Lecture 7 :
How “GlobalFinance” built their data strategy - Part 2 (Cont.)
Lecture 8 :
How “GlobalFinance” built their data strategy - Part 3
Lecture 9 :
How “GlobalFinance” built their data strategy - Part 3 (Cont.)
Lecture 10 :
How “GlobalFinance” built their data strategy - Part 3 (Cont.)
Lecture 11 :
How “GlobalFinance” built their data strategy - Part 3 (Cont.)
Lecture 12 :
How “GlobalFinance” built their data strategy - Part 4
Lecture 13 :
How “GlobalFinance” built their data strategy - Part 4 (Cont.)
Lecture 14 :
How “GlobalFinance” built their data strategy - Part 4 (Cont.)
Lecture 15 :
How “GlobalFinance” built their data strategy - Part 4 (Cont.)
Lecture 16 :
How “GlobalFinance” built their data strategy - Part 4 (Cont.)
Lecture 17 :
How “GlobalFinance” built their data strategy - Part 4 (Cont.)
Lecture 18 :
How “GlobalFinance” built their data strategy - Part 5
Lecture 19 :
How “GlobalFinance” built their data strategy - Part 6
Lecture 20 :
How “GlobalFinance” built their data strategy - Part 7
Lecture 21 :
How “GlobalFinance” built their data strategy - Part 8
Lecture 22 :
How “GlobalFinance” built their data strategy - Part 9
Section 4 : Data Strategy Execution 5 Lectures 00:00:00
Lecture 1 :
Data strategy execution
Lecture 2 :
Data strategy execution - Activity 1
Lecture 3 :
Data strategy execution - Activity 2
Lecture 4 :
Data strategy execution - Activity 3
Lecture 5 :
Data strategy execution - Activity 3 (Cont.)
Section 5 : Summary Session 1 Lectures 00:00:00
Lecture 1 :
Recap the course

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Daniel Pham,

7453 Course Views

8 Courses

I am an experienced and accomplished author with a deep passion for data strategy and management. With over 15 years of hands-on experience in the IT industry, I have gained extensive knowledge and expertise in various domains, including banking, insurance, retail, and more. Throughout my career, I have held several senior positions such as: - Data Division Director of an insurance company - Deputy Data Governance & Analytics of the Group (Real Estate, Retail, Hospitality, Commerce, ...) - Deputy Chief Data Officer cum Senior IT Strategy Expert - Head of Data & Analytics Service - Project Director/ Project Manager - Enterprise & Solution Architect of bank That have allowed me to make significant contributions to the field. And right now, as a director of Data Division, I played a pivotal role in shaping data initiatives and driving the effective use of data within organizations. Additionally, as a Data Governance & Analytics expert, I focused on establishing robust data governance frameworks and harnessing the power of analytics to drive actionable insights. With my diverse background and extensive industry experience, I have developed a strong understanding of the challenges and opportunities in the data management landscape. Through my work as an author, I am dedicated to sharing my knowledge, insights, and practical strategies with students like you.