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DSTR0: Data Strategy Learning Plan

In the Data Strategy Learning Plan, instructor John Ladley discusses the key components developing, managing, and maintaining a Data Strategy within an organization. Each of the six courses within the Learning Plan cover an essential element in establishing a successful Data Strategy from getting executive buy-in to planning a suitable approach, managing assets, building a framework, working with data standards, aligning metadata, and more.

In an ever-changing world of new technologies, vast amounts of data, changing competitive goals, new business trends, and data-driven initiatives, creating an Enterprise Data Strategy has become of paramount importance for organizations of all sizes. A comprehensive Data Strategy allows the organization to align their business goals and technology needs within a framework of growth, decision-making priorities, business model alignment, and digital transformation support through developing a central blueprint that everyone can understand and follow.

This learning plan helps to clarify the many complexities of developing a Data Strategy. It also provides practical ways to get started with a range of downloadable resources that can be applied in your organization’s particular ecosystem. Instructor John Ladley discusses the key components developing, managing, and maintaining a Data Strategy within an organization. Each of the six courses within the Learning Plan cover an essential element in establishing a successful Data Strategy from getting executive buy-in, to planning a suitable approach, to managing assets, building a framework, working with data standards, aligning metadata, and more.

In the Data Strategy Learning Plan you will:

Learn about why Data Strategy is an essential organizational discipline
Understand what a fully formed Data Strategy looks like
Understand how to align corporate drivers around Data Strategy
Explore how to determine the best approach for your organization to follow when developing a Data Strategy
Learn how to create business Data Strategy requirements and align with critical business elements
Explore deployment and sustainment practices for the Data Strategy
Understand how to leverage and specify the differing capabilities of Data Governance and Data Management
Discuss data value and risk, and how Data Strategy aligns those within the business
Explore how primary Data Management disciplines work within an overall Data Strategy
Learn about the principles, policies, and processes of Data Strategy
Learn how to lead the creation and implementation of a Data Strategy
Explore how to demonstrate value from the strategy ways to measure the success of the strategy for stakeholders
Explore aspects of change management and sustainability within the content of Data Strategy
Learn how to grow literacy, acumen, and competence to sustain strategy at an organizational level

This Learning Plan is valuable to data and business professionals (and the organizations they work for) ranging from the technically proficient to not technically oriented who want to better understand and develop a Data Strategy in their daily jobs or expand their career opportunities with in-depth Data Strategy training.

Learning Plan Price: $499
Individual Course Price: $99
Learning Plan CEUs: 9.0 hours

Each Course Includes:

A 39- to 69-minute educational training video
A 10- to 17-question exam
“Check for Understanding” quizzes after each course section
Self-paced and on-demand e-learning
Unlimited course access

Downloadable Resources Include:

Data Strategy Deliverables List
Data Governance and Data Management Strategy Checklists
PMO and Governance Checklists
Change Capacity Assessment
Communications Framework
Additional Resources Reference List

Downloadable Templates:

Strategic Elements Template
Plan-->Do-->Act Template
What Leadership Needs To Know Template
Business Strategy Template
Shapers Template
Philosophy Template
Sample Principles & Template
Capabilities Template
People Template
Tone & Pace Template
Maturity Spectrum/Capabilities Template

Courses within the Data Strategy Learning Plan:

1. Basics for Leadership, Management, and Non-Data Professionals
2. Data Strategy Configuring and Approach
3. Basic Elements of Data Strategy – Data Value and Risk, Governance, Management and Capabilities
4. Essential Components of Data Strategy and Data Management
5. Managing Data Assets, Controls, Communications, Roadmaps, and Data Debt
6. Sustainability – How To Carry On

We offer several bulk licensing options for corporate and group use.

Data Strategy Learning Plan

Course 1 – Basics for Leadership, Management, and Non-Data Professionals

Importance of Our Story
- Data Relevance to Every Strategy Element
The Basics
- Data as an Asset in All Aspects
- What is a Data Strategy?
- 6 Ways Data Can Add Values
- Hidden and Material Amount of *Real* Debt
- Three Elements Required for Success
- Drivers – External and Internal
- Components of a Data Strategy
Action Items
- Business Capabilities
- Why Data Strategy is Essential
Data Strategy Learning Plan – Progress Review
Instructor Contact Information
Perceptions – Lack of Progress

Course 2: Data Strategy Configuring and Approach

Review – What is a Data Strategy?
Business Data Strategy Requirements
- Changing Your Organization’s Thinking
- What Leadership Needs to Know
- What Management Must Demand from the Analysis
Components of a Data Strategy
- Executing Development of the Data Strategy
- What the Team Requires
- Enterprise Approach is a Transformation Effort
- Framing Your Own Approach in Relation to Common Process
- Details of the Generic Mindset
- Fine Tuning the Approach – Tone and Race
  - From a Leadership View
- Understand What They are Saying to You (and What to Ask)
Deploying and Sustaining the Strategy
- How to Deploy and Sustain the Data Strategy
- Obstacles in the Address
- Data Management Change Psychology
- Strategy and Governance Change Overcoming Data Myths
- Data Value Chain
The Way Forward – Remember, Data Relevance to Every Strategy Element
The Way Forward – Summary

Course 3: Basic Elements of Data Strategy – Data Value and Risk, Governance, Management and Capabilities

Data Value and Risk
- Understanding Data Value Data Create Value?
- How Data Value is a Business Case
- Data Alignment Exercise – Business Alignment is Required
- Data as an Asset is Not to be Oversimplified.
- Data Value
Data Governance and Data Management Difference
- Enterprise Level View
- All Key Capabilities Require Oversight – DG is Oversight
- EIM Defined – an Example
- What is Data Governance? Purpose?
- Drivers
Focusing In - Data Management Details
- Capabilities
Focusing In – Data Governance
- Relevance – What Data Governance is About
- Data Governance Always Appears
- Governance Example
- What is and What is Not Data Governance?
- What Data Governance Looks Like
- Common Challenges Addressed by Data Governance
- What if an Auditor Present This to Your Leadership?
Data Strategy is a New Way Forward

Course 4: Essential Components of Data Strategy and Data Management

The Essential Components of Data Strategy
- Shapers
- Philosophy (Data Principles)
- Principles, Policies, and Their Purpose
  - Sample Principles
- Capabilities
  - Capabilities and Enterprise Data Management
  - Data Driven Capability Model
- People
- Tone and Pace
- Approach Spectrum
- Readiness
- Literacy
- Metadata Management
- Data Architecture
- Data and Other Models
- Data Quality
- BI, Reporting, and Data Warehousing
- Big Data and Analytics
- Master/Reference Data Management
- Data Integration
- Bimodal Considerations
  - Gartner’s Bimodal Approach
- Old and New Coexistence, or Separate Strategies
- Workflow and Operations
- Roadmap
Review: What is a Data Strategy?

Course 5: Communications for Data Assets, Controls, Communications, Roadmaps, and Data Debt

Review of the Thought Process
- Change Your Organization’s Thinking
- Plan, Do, Act Journey Vs. Project Journey
- Data-Driven Journey
Communicating Value
- Educating Teams About Leadership
- Educational Opportunities
- Data Value in Action-Messages
What to Look For?
- What Does a Data Strategy Look Like?
  - Strategy Example
- Artifact Flow to Define Strategy
What You Need to Be Understood and Considered
- What You Need to Understand to Some Degree

Course 6: Sustainability – How to Carry On

Understand the Change Aspects and Elements of Sustainability for a Data Strategy
- Obstacles to Address
- Data Change Psychology
- Strategy and Governance Change Overcoming Data Myths
- Mistakes
- An Important Visual
- Alignment
Sustainability – The Ultimate Target
- Principles, Policies, and Their Purpose
  - Sample Principles
  - Principle Components
  - Guiding Principles
- Roadmap Process
  - Sample Roadmap
  - Sample High Level Roadmap
  - Leadership-Level Roadmap
- Start Fast – First Three Months
- Quick Wins – Data Quality
  - BI and Analytics
- Some Tactical Activities
- PMO New Project Checklist
- Data Governance Related Tasks
Growing, Literacy, Acumen and Competence
- Identifying Levels of Data Literacy
- Capacity Vs. Capability
- Relevant Education
- Getting Smarter – No Exclusions
- Relevant Communication Framework
Metadata and Tools
- Categories
- Why Data Catalogs are a Compelling Option
- The Pros and Cons of Data Catalogs
- Driving Catalog Usage
- Why This is the Most Important Aspect of Establishing a Successful Data Catalog
A Summary
- Changing Attitudes and Realism
- Building Your Skills
- Literacy/Acumen is a Requirement – Never Present as a Choice