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.
Contact us for a follow-up discussion!
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 Does a Data Strategy Look Like?
- 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
- Principles, Policies, and Their Purpose
- 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
Complete All Six Data Strategy Courses
1. DSTR1: Basics for Leadership, Management, and Non-Data Professionals
required
Understanding the importance of a Data Strategy is a necessary step in getting executive and management sponsorship. In this course, instructor John Ladley discusses the fundamental concepts around Data Strategy, the importance of well-governed data assets, strategic drivers, and primary components to be aware of.
View Details2. DSTR2: Data Strategy Configuring and Approach
required
In this course, instructor John Ladley covers the primary Data Strategy requirements to develop such a strategy from a business-focused perspective. He looks at organizational change management, team requirements, framing your own approach, fine tuning the strategy, obstacles to address, and more.
View Details3. DSTR3: Basic Elements of Data Strategy – Data Value and Risk, Governance, Management, and Capabilities
required
In this course instructor John Ladley presents the critical elements of a Data Strategy, especially around the business case for data value, data supply chains, the purpose of Data Governance in Data Strategy, risk management, and aligning capabilities.
View Details4. DSTR4: Essential Components of Data Strategy and Data Management
required
In this course, instructor John Ladley does a deep dive into the most critical (and most common) components of a complete Data Strategy. Data disciplines such as Master Data Management, Data Quality, Data Architecture, BI/Reporting, and many others will be covered in terms of their importance, position, and specific idiosyncrasies within the context of Data Strategy.
View Details5. DSTR5: Managing Data Assets, Controls, Communications, Roadmaps, and Data Debt
required
A Data Strategy is more than setting out a list of activities. Unless you consider the operational aspects, the actual initial steps and major workflows to implement the strategy you have a reduced chance of success. In this course, instructor John Ladley covers how to lead the Data Strategy and then transition into what happens after all the boxes, arrows, and other components are formulated.
View Details6. DSTR6: Sustainability – How to Carry On
required
In this course, instructor John Ladley explores the primary aspects of a Data Strategy that make it sustainable. He discusses how Data Governance is employed to manage sustainability, how metadata alignment works, obstacles to address, where important quick wins exist, the role of standards and principles, how to grow literacy to support the strategy, important tools, and more.
View Details
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