Data Governance in Practice
Published by Pearson
Implement and Improve a Data Governance Program
- Gain practical knowledge and templates — and build your confidence — to implement a data governance program at work.
- Learn from an award-winning professional in the data governance space who has curated this easy-to-understand course.
- Benefit from the experiences, mistakes, and best practices made by other data governance professionals.
Data governance ensures that data is of good quality, defined, understood, accessible, and protected. Effective data governance leads to better decision making and improved operations support. Now is the time to learn about data governance, as it is becoming a hotter topic by the hour; BusinessWire estimates its market will reach $5.7 billion by 2025. This comes as no surprise, as data governance is the “the exercise of authority and control (planning, monitoring, and enforcement) over the management of data assets” (DAMA International) which is an increasing demand from companies who wish to become more data driven.
It’s then clear why professionals, such as yourself, want to better understand data governance and how they could implement or improve it in their organization. Students will use examples and practical takeaways to better understand the importance of data governance, how to assess your current data governance maturity level, how to set the right focus, and which organizational framework to choose from. The course will also explore key implementation items such as how to make your data governance council successful, change management pillars, and how to create data policies, standards, processes which will make your data governance program stick.
What you’ll learn and how you can apply it
- What data governance is and why it is important
- What it takes to implement a data governance program from scratch and how to improve an existing one
- Best practices to successfully gain data governance adoption within any organization
And you’ll be able to:
- Practically apply best practices to implement or improve a data governance program
- Support the development of data governance artifacts such as metrics, policies, and standards, council’s terms of reference, and more
- Assess your current state and set the right focus for a data governance program
- Play a key role in data governance, either as a stakeholder or a as a data governance implementer
This live event is for you because...
- You want to move into or learn more about the data governance space
- You were tasked with implementing a data governance program as a business analyst, program manager, project manager, data steward, business lead, or key stakeholder.
- You want to be knowledgeable and confident when facing data governance challenges of your own as well as when you are speaking with vendors and consultants working in this space
Prerequisites
- A high-level understanding of the main challenges in your organization’s environment such as poor data quality, misalignment of business metrics, IT as a bottleneck and not a partner, no single view of the customer, etc.
Course Set-up
- Have a Word processor to open a .doc file if you wish to participate in the exercises
Recommended Preparation
- Read: Data Governance by John Ladley
Recommended Follow-up
- Read: Data Governance by Neera Bhansali
- Watch: Data Governance by John Adler
Schedule
The time frames are only estimates and may vary according to how the class is progressing.
Segment 1: Introduction & overview of data governance (20 minutes)
- Introduction to the course
- Overview of data governance
- Benefits of data governance
- Exercise: Each attendee will jot down a few benefits of data governance that resonate with them. Once they have completed the activity, attendees will be asked to engage via the group chat to see how their lists align.
- Q & A
Segment 2: Pre-implementation steps (30 minutes)
- Acknowledging the drivers for data governance
- Exercise: Each attendee will vote for the top drivers that most applies to their situation. Once they have completed the activity they will see the aggregate results.
- Understanding the data governance maturity model
- How to do an ad-hoc assessment
- Exercise: Attendees will provide input in the chat about the ad-hoc assessment as per their context.
- Q & A
Break (5 minutes)
Segment 3: Program setup steps (25 minutes)
- Setting the focus of the data governance program
- Building a data domain model
- Exercise: Via a poll, each attendee will select the data domains that would best apply to their organization and will share the aggregate results with all attendees.
- Data governance organizational framework
- Exercise: Attendees will be introduced to different configurations of a data governance organizational framework and choose what type of organizations would be a best fit for each
- Q & A
Segment 4: Data governance council (20 minutes)
- Data governance council’s responsibilities
- Best practices & advice on how to make your data governance council successful
- Creating the terms of reference
- Exercise: Attendees will receive a template of the terms of reference document and will start filling out some key pieces
- Q & A
Segment 5: Metrics (10 minutes)
- The importance of metrics
- Progress & impact metrics
- The must-have metrics to start with
- Q & A
Break (5 minutes)
Segment 6: Data policies, standards, and processes (25 minutes)
- Data concepts for data governance
- What is a data policy and what to always include in one
- How to formulate data standards and how these differ from rules
- The data governance processes to always start with
- Q & A
Segment 7: Tools & artifacts (20 minutes)
- Selecting a data governance tool
- The difference between a business glossary, data dictionary, data catalog
- Exercise: Via a poll, each attendee will test their knowledge with a fun exercise
- Q & A
Segment 8: Managing change (15 minutes)
- Introduction to change management
- 3 change management pillars to make your data governance stick
- Exercise: Each attendee will jot down a few ideas on how stakeholders contributing to data governance can be acknowledged and rewarded for their efforts. Once they have completed the activity, attendees will be asked to engage via the group chat to learn from one another.
- Q & A
Segment 9: Wrap-up and next steps (5 minutes)
- Wrap-up
- Suggested next steps
- Q & A
Your Instructor
George Firican
George Firican is the founder of LightsOnData.com and its YouTube channel and is a cohost of the Lights On Data Show. A data professional for 15 years, he’s ranked among the Top 5 Global Thought Leaders and Influencers on big data and digital disruption and among the Top 15 on innovation. His fresh approach to addressing data challenges through award-winning program and project implementations in data governance, data quality, business intelligence, and data analytics has drawn international recognition. He advises organizations on how to treat data as an asset, and he shares his takeaways on social media and industry publications. Some of George's passions include creating practical and engaging educational content, speaking at conferences, and helping organizations get more visibility on social media.