DL0: Data Leadership Learning Plan
In the Data Leadership Learning Plan, instructor Anthony Algmin examines how data professionals, and the enterprises they work for, can make the most of data. Organizations need more than sophisticated technology and brilliant data scientists to utilize the value of their data assets. They need to harness data insights to improve business functions from top to bottom, and that takes Data Leadership. Each of the eight courses in this Learning Plan provide the building blocks to become a data leader. If all eight courses are completed, a certificate of completion will be issued.
A wide range of topics are presented within the Data Leadership Framework (DLF) including Data Architecture, Data Governance, Metadata and Master Data Management, Data Modeling and Warehousing, DevOps, Data Security, Business vs. IT issues, how to launch Data Initiatives, Data Curation and Enrichment, Machine Learning and AI, Business Intelligence and Analytics, Regulatory Compliance, pitfalls encountered, desired outcomes, and so much more.
Learning Plan Price: $679
Individual Course Price: $99
Learning Plan CEUs: 8.0 hours
Each Course Includes:
- A 61- to 74-minute educational training video
- A 15- to 19-question exam
- Materials made available for download once the exam has been completed
- Self-paced and on-demand e-learning
- Unlimited course access
Courses within the Data Leadership Learning Plan:
- Data Leadership Foundations
- Launching Data Initiatives
- Data Leadership Framework (DLF) Access: Getting Data into a Useful Place
- Data Leadership Framework (DLF) Refinement: Putting Data into an Optimal Form
- Data Leadership Framework (DLF) Adoption: Acting from Data Insights
- Data Leadership Framework Impact: Maximizing Business Outcomes
- Data Leadership Framework Alignment: Transforming Business Engagement
- Data Leadership in Action
We offer several bulk licensing options for corporate and group use.
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Data Leadership Learning Plan
DL1: Data Leadership Foundations
- Course Introduction
- Data Economics 101
- Value of Data
- Strategic Data Quality
- The Business vs. IT
- The Broken Engagement Model
- The Ridiculous CDO
- Creating a Better Dynamic
- Getting a Green Light
- A Lesson in Business Strategy
- Building a Business Case
- The 8-Second POC
DL2: Launching Data Initiatives
- If It’s Broke, Fix It
- Intent and Outcome Are Not the Same
- Don’t Be Chris Burke
- Most Data Governance Is Doomed from the Start
- Getting Out of the Gate
- Stop Talking About Working and Start Working
- Adopting an Agile Mindset
- Simple Virtuous Cycle
- Building Early Momentum
- Internal Resources
- Beware: Consultants Ahead
- The Data Leadership Framework
DL3: The Data Leadership Framework: Access - Getting Data into a Useful Place
- Introduction
- Getting Data into a Useful Place
- DLF Category Introduction: Access
- DLF Access: Disciplines
- Security
- When People Start to Care About Security
- Nobody likes the CISO
- Getting Started with Data Security
- Architecture
- Defining Data Architecture is No Easy Task
- Data Architects Wear Many Hats
- Ability to Understand Business
- Self-Motivation is a Core Capability
- Wrangling
- Early Stage Data Prep
- Identify Potential Use Cases
- Varied Tools
- Development
- High Stakes
- Interplay Between Disciplines
- Different Technologies
- Support, Operations, and DevOps
- Important Catch-All Bucket
- Team Functionality
- Chain of Custody
- Maintaining Balance
- DLF Access: In Context
- Security
DL4: The Data Leadership Framework: Refinement - Putting Data into an Optimal Form
- Introduction
- Putting Data into Optimal Form
- DLF Category Introduction: Refinement
- DLF Refine: Disciplines
- Metadata
- Data Value Density
- Business vs. Technical Metadata
- Data Lineage
- Tools
- Data Quality
- Suitability-for-Use
- Scoring
- Improving Quality
- Data Value
- Master Data
- Collects and Coordinates Usage
- Definitions
- Reconcile Data Sets
- Enrichment
- Use Case
- Additive Function
- Curation
- Reductive Function
- Let Go of Some Things
- Maintaining balance
- DLF Refinement: In Context
- Metadata
DL5: The Data Leadership Framework: Adoption - Acting from Data Insights
- Introduction
- Acting from Data Insights
- DLF Category Introduction: Adoption
- DLF Adoption: Disciplines
- Data Modeling and Warehousing
- Definitions
- Logical vs. Physical
- The Big Questions
- Traditional Reporting
- One-Directional Flow
- A Bold Question
- Finding Feedback Loops
- Interactive Dashboards and Visualizations
- More Fun than Reports
- Interactivity is Useful
- Storytelling
- Democratizes Data
- Systems Integration
- Automated Data Cosumption
- A Data Leaders Perspective
- Coordination
- Emerging Data Technologies
- NoSQL, In-Memory, Graph Databases
- Cloud, Serverless
- GIS, Internet of Things
- Blockchain, Machine Learning, Artificial Intelligence
- Virtual Reality, Augmented Reality
- Maintaining Balance
- DLF Adoption: In Context
- Data Modeling and Warehousing
DL6: The Data Leadership Framework: Impact - Maximizing Business Outcomes
- Introduction
- Maximizing Business Outcomes
- DLF Category Introduction: Impact
- DLF Impact: Disciplines
- Measurements, Metrics, KPIs
- Definitions
- When in Doubt, Measure Something!
- Regression Analysis, Predictive Modeling
- Definitions and Examples
- Machine Learning, Artificial Intelligence
- Definitions and Use Cases
- Business Process Automation
- What is This?
- Is There a Theoretical Limit?
- Data Monetization
- Data Value Equation
- Different Levels
- Business Outcomes
- Maintaining Balance
- DLF Impact: In Context
- Measurements, Metrics, KPIs
DL7: The Data Leadership Framework: Alignment - Transforming Business Engagement
- Introduction
- Transforming Business Engagement
- DLF Category Introduction: Alignment
- DLF Alignment: Disciplines
- Strategy, Policies, and Standards
- Business Strategy
- Data Strategy
- Policies
- Standards
- Project and Program Management
- Stop Talking, Start Working
- Data can be a Natural Accelerator
- Work with Existing Capabilities
- Marketing and Communications
- Understand People’s Motivations
- Align Incentives
- Organizational Training and Building Quantitative Culture
- Build Awareness
- Data Analytics
- Good Starting Points
- Regulatory Compliance
- Don’t Just Check Boxes
- Traps!
- Can be the Final Word on Success
- Maintaining Balance
- DLF Alignment: In Context
- Strategy, Policies, and Standards
DL8: Data Leadership in Action
- Data Leadership Patterns
- Driving New Engagement Models
- Marketplace Innovation
- A World of Sophisticated Data Consumers
- Fostering Data Leadership Careers
- Business vs. Technology Paths
- Industry vs. Consulting
- The Gig Economy
- Roads Less Traveled
- Sustaining Data Leadership
- After the Novelty Wears Off
- Revisiting the Simple Virtuous Cycle
- The Strategy Paradox
- Course Summary and Conclusion
- The Intrepid Data Leader
Milestone
Complete All Eight Data Leadership Courses
1. DL1: Data Leadership Foundations
required
Course
Data is known to have value, but many organizations struggle in making the most of their data. This course explores the economics of data and helps us understand why becoming data-driven is essential for all organizations. We look at the dysfunctional relationship between the business and IT, and why this can sabotage data’s potential. Finally, we talk about how to energize our executives and get the green light to do more with data.
View Details2. DL2: Launching Data Initiatives
required
Course
Data leaders have to start somewhere and too often data programs get going in the wrong direction from the start. In this course we look at common mistakes made by new data leaders and what we should do instead. We find out where to look inside our organizations for help, and why consultants may or may not be worthwhile. We also introduce some basic concepts to use in the early days to help build momentum.
View Details3. DL3: Data Leadership Framework (DLF) Access – Getting Data into a Useful Place
required
Course
Data can only become useful if it can be reached by those who need it, and this is not always a trivial exercise. This course explores the role of data systems in the Data Leadership Framework (DLF).
View Details4. DL4: Data Leadership Framework (DLF) Refinement – Putting Data into an Optimal Form
required
Course
To efficiently make the most of data, data should be enhanced in ways that make it as easy as possible to use. This course explores the impact of Data Management in the Data Leadership Framework (DLF).
View Details5. DL5: Data Leadership Framework (DLF) Adoption – Acting from Data Insights
required
Course
Even if data is perfectly available and structured for use, people need to use it, or it will have no influence on business outcomes. This course explores the impact of data consumption in the Data Leadership Framework (DLF).
View Details6. DL6: Data Leadership Framework Impact – Maximizing Business Outcomes
required
Course
Once data is consumed by people, it must drive a different behavior than they would take without the data – otherwise the perceived impact of data is simply an illusion. This course explores the impact of data value in the Data Leadership Framework (DLF).
View Details7. DL7: Data Leadership Framework Alignment – Transforming Business Engagement
required
Course
This area of the Data Leadership Framework (DLF) is a little different – instead of enhancing a specific set of functions in part of the data value chain, it orients to improving the system as a whole, while connecting the DLF and maximizing its relevance to the rest of the business. This course explores the role of Data Governance in the DLF.
View Details8. DL8: Data Leadership in Action
required
Course
Data leaders come from many backgrounds and bring different skills and strengths to the equation. This final course looks at the factors that help us evaluate talent for our teams and develop our own careers. We also explore some of the hottest data technologies, providing an overview of some of the latest innovations that should be on everybody’s radar, but may not have yet crossed our desks. Finally, we look see what the future may hold for data leaders.
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