Quick Start Skyscraper Lessons for Data Governance
Across segments of Asia, the construction industry uses pre-built structures to accelerate time to delivery. There are several key lessons from new construction practices that we can adapt and apply in implementing data governance.
The Quickest Path to Success
The quickest way to achieve enormous savings is by leveraging a pre-built component-based system for implementing data governance management. In the same way as the world’s skyscrapers are built, organizations should leverage best practices, components, systems, and agile architecture to create a coherent Data Governance Management System (DGMS) which will serve to:
• Provide all required elements for building data governance in the organization
• Track project or program progress when implementing data governance, and
• Measure the performance of Data Governance operations once deployed.
Implementing Data Governance is complex. Having a pre-defined road-map and plan alleviates misidentification of critical dependencies and sub-optimal sequencing of activities. The benefits that modular construction provide are speed, consistency, and accuracy, all of which are Data Governance success factors.
Calculating your Cost Savings
Building a skyscraper in record time relies on the use of modular design, including standard wiring, plumbing, fixed sized rooms, and so on, allowing you to realize the cost saving by reduction of time and resources.
In Data Governance, the benefits of pre-built content, such as policy, standards, processes, and organization of the components help realize the cost saving by reduction of time and resources.
An organization can save not only hundreds of hours but also the resources, through compressing the time-to-solution by many months and achieve time-to-value in a fraction of the cost of developing or updating Data Governance traditionally, given the accelerator capabilities of a Data Governance Management System. (See graphic on side.)
Managing Change over Time
In any skyscraper, the system must be continually managed, and a change process must be in place.
Data Governance requires that change to be managed; without change management, you cannot guarantee the structural integrity of your DG program.
There are two factors to account for when facilitating change:
• Managing the change
• Performing the change.
The execution of the automated workflows of Compliance Review and Change Management in an auditable, controlled system, ensuring that change is managed, as occurs within a DGMS.
Charting your Success with Measures and Metrics
The benefits of rapidly constructing a skyscraper not only reduces the overall costs but decreases the time-to-value substantially.
For Data Governance, there are many views of how to visualize the deliverables of the data governance process. One view of the metrics is based on the measures derived from the policy and standards metadata. Another view relates to the workflow project and process metrics that are derived in the system. Other views may include variances, completion rates, and quality.
A challenge of data governance is deciphering the many layers of the discipline, the interrelationships of the many components and processes, and deciding what to do next. Organizations looking to reduce the heavy lifting of implementing data governance may want to componentize their data governance and adopting a DGMS.