Overview: Effective Data Governance is a critical organizational requirement to succeed in the current data-driven market-place. But, without a well-thought out and previously successful data governance implementation strategy, data governance is doomed to fail. A successful Data Governance plan has the following components:
- A balanced team with the right technical skills and the business background.
- Buy-in and commitment of the top leadership.
- A well-thought implementation plan.
- The right technical tool to implement the Data Governance processes.
- Effective onboarding and training of the implementation team and the data stewards.
Why Data Governance? Data Governance requires upfront investment of time, effort and capital. Hence, it is critical that there are both strategic and tactical returns on that investment. An effective Data Governance program provides the following benefits to the organization.
- Improved decision making: We understand the enterprise-wide, quality information that helps shape better-informed decisions
- Improved clarity and consistency of vocabulary: We clearly define things like “service sensitive customers and qualified leads” and related business rules.
- Improved data quality and access to shared data: We use one “source of truth” for critical master data (customer, employee, location, equipment etc.) with simplified ways to access it.
- Reduced organizational risk: We can help ensure privacy and security of our data and have proper controls in place.
- Improved reporting consistency: One question always gets one answer.
Data Governance Implementation Program: An effective Data Governance program goes through the following steps:
- Identifying the critical organizational goals and how data governance can help in achieving those goals.
- Getting Buy-in and commitment from the top leadership.
- Creating the ideal data governance team with data architects, solution architects, data analysts and data stewards.
- Creating an effective data governance charter and organizational structure
- Identification of the first data subset to govern.
- Profile the data to understand the quality issues using Information Analyzer.
- Work with business to understand the relative criticality of data quality within the dataset.
- Baseline the initial quality score.
- Identify the data stewards, data approvers, terms, definitions, metadata, data policies and data rules for the subset and document them in Information Governance Catalog and Datastage/QualityStage to use the data quality rules to cleanse the data.
- Implement Data Cleansing processes in QualityStage and other associated tools to improve data quality.
- Track the improvement of quality score.
- Publish the policies, rules and results to the broader organization and make it available as a microservice that can be used across the organization.
- Evangelize Data Governance by showcasing the results and benefits to garner organizational support.
- Document the lessons learnt.
- Start with the second dataset and repeat the process.
The Data Governance Virtual Implementation Workshop
The Data Governance Virtual Implementation Workshop is not just a training where you get immersed in Data Governance concepts and when you get to implement the concepts, you have already forgotten half of what was covered in the class. This virtual workshop involves self-paced videos that you can learn from and then implement the concepts side-by-side. Since, you learn and implement side by side, the retention is much better, and you have an exponentially better implementation results. The workshop would last for a month with 2 hours of video and exercises every week day. The videos and toolkit would be available for an entire year for the participants to come and revise the concepts.
Topics Covered in the Workshop
The following topics are covered in the workshop:
- Why Data Governance?
- How to create the Data Governance Charter?
- How to choose the right team to implement Data Governance?
- Data Governance Reporting Structure
- Basics of Data Profiling
- Overview of Information Analyzer
- Column Analysis using Information Analyzer
- Overview of Information Analyzer thin client and baselining of quality score
- Overview of QualityStage
- Investigation of Data
- Standardization of Data
- Creating and implementing Match specification
- Survivorship rules and processes.
- Creation of Data policies
- Creation of Data rules
- Metadata management and lineage
- Creation of terms and linkage to information assets
- Publishing of data rules as a microservice for organization wide use
- Calculation of quality score after data cleansing
- Creation of organizational processes and toolkit
- Showcasing the results and evangelization to garner organization support
Organizational Benefits of the Workshop
The workshop would help in guiding the organization of the benefits and best practices of Data Governance. This would eliminate the guess work by following a time-tested Data Governance Implementation plan and would create a culture of data quality and data governance. When the data becomes accurate and trusted across the organization, the organization is in a much better place to reap the benefits highlighted earlier in this document.
We are committed to your success by ensuring that our training is provided by world’s leading trainers backed by decades of practical experience across a wide spectrum of projects.
Sample Data Governance Training Video
How to kick off a Data Governance project using IBM Data Governance Catalog
In this video you will learn the following:
1. Definition of Data Governance
2. What are the building blocks for an effective data governance program?
3. Similarity between a Data Governance Plan and Fitness plan.
4. How to monitor the effectiveness of your data governance plan?
5. Getting the right team for your Data Governance Project.
6. Action steps for an effective Data Governance Project.
7. Leveraging IBM InfoSphere Information Management tool-set for your Data Governance Project.
8. IBM Information Governance Catalog (IGC) demo.
If you like the above demo video and would like to take the next step in developing your skills, please register for our next available training classes here.
Your career and project successes are directly proportional to the depth of your knowledge about the tools and the best practices. Our experienced instructors have taught more than 4000 students worldwide and helped many to succeed with IBM Information Server tools including DataStage, QualityStage, Information Analyzer and Information Governance Catalog. To register for the next available training, please register here.