Building A Data Strategy Roadmap: From Vision To Execution

Developing a Comprehensive Data Strategy to Drive Business Success

What you'll learn

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?

Requirements

Basic understanding of data management concepts

Familiarity with data-related technologies

Knowledge of business strategy and objectives

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.

Overview

Section 1: Introduction

Lecture 1 Introduction

Lecture 2 Course Outline and Key Learning Outcomes

Lecture 3 Get the Matterials

Lecture 4 A Fictitious Bank: "GlobalFinance"

Section 2: 2nd Session

Lecture 5 Definition and characteristic of Data Strategy

Lecture 6 Why is a data strategy important

Lecture 7 Data governance & management related frameworks

Lecture 8 Data governance & management frameworks

Section 3: 3rd Session

Lecture 9 How “GlobalFinance” built their data strategy

Lecture 10 How “GlobalFinance” built their data strategy - Part 1

Lecture 11 How “GlobalFinance” built their data strategy - Part 2

Lecture 12 How “GlobalFinance” built their data strategy - Part 2 (Cont.)

Lecture 13 How “GlobalFinance” built their data strategy - Part 2 (Cont.)

Lecture 14 How “GlobalFinance” built their data strategy - Part 2 (Cont.)

Lecture 15 How “GlobalFinance” built their data strategy - Part 2 (Cont.)

Lecture 16 How “GlobalFinance” built their data strategy - Part 3

Lecture 17 How “GlobalFinance” built their data strategy - Part 3 (Cont.)

Lecture 18 How “GlobalFinance” built their data strategy - Part 3 (Cont.)

Lecture 19 How “GlobalFinance” built their data strategy - Part 3 (Cont.)

Lecture 20 How “GlobalFinance” built their data strategy - Part 4

Lecture 21 How “GlobalFinance” built their data strategy - Part 4 (Cont.)

Lecture 22 How “GlobalFinance” built their data strategy - Part 4 (Cont.)

Lecture 23 How “GlobalFinance” built their data strategy - Part 4 (Cont.)

Lecture 24 How “GlobalFinance” built their data strategy - Part 4 (Cont.)

Lecture 25 How “GlobalFinance” built their data strategy - Part 4 (Cont.)

Lecture 26 How “GlobalFinance” built their data strategy - Part 5

Lecture 27 How “GlobalFinance” built their data strategy - Part 6

Lecture 28 How “GlobalFinance” built their data strategy - Part 7

Lecture 29 How “GlobalFinance” built their data strategy - Part 8

Lecture 30 How “GlobalFinance” built their data strategy - Part 9

Section 4: 4th Session

Lecture 31 Data strategy execution

Lecture 32 Data strategy execution - Activity 1

Lecture 33 Data strategy execution - Activity 2

Lecture 34 Data strategy execution - Activity 3

Lecture 35 Data strategy execution - Activity 3 (Cont.)

Section 5: Last Session

Lecture 36 Recap the course

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