─ Typical Use Cases ─
How can I be an effective champion of Data Governance in my organization?
Most organizations benefit from Data Governance, but there is often confusion over what it is and what it does. Let’s start with a definition: Data Governance is the set of practices to maximize the value and minimize the risk of enterprise data. Data Governance generally involves technological and manual processes to ensure that data is stored and distributed properly, data consumers are trained properly, and that data is used appropriately and efficiently. The knowledge body of Data Governance consists of a set of data policies, procedures and data intelligence which includes the metadata that identifies source systems, data ownership, usage, lineage, classification, retention, catalog, and business glossary. classification, retention, catalog, and business glossary.
MetaGovernance works with you to present the value of good data and the necessity of effective governance.
The benefits of governance are trusted data, less manual labor spent gathering, prepping and fixing data, well-understood data flows and impact and reduced compliance and data breach risk. The cumulative benefit is that reliable data fuels better analytics and better decisions while minimizing risks due to bad, misunderstood or mismanaged data.
There has been a great deal of confusion around Data Governance and Information Governance, and between data and information. While sometimes used interchangeably, it is useful to note the key differences between data and information.
Data are raw forms of information stored in databases or in file folders. They are either in a structured queryable format or an unstructured format.
Information is data with business context. It can be managed at a more abstract level. Information can be grouped within subject area domains regardless of format and how it is stored. For example, a loan borrower’s email is a piece of information within the customer contact subject area. It could be stored in a database, a spreadsheet or an email account’s address book. No matter where it is stored, it is tied to the customer contact subject area.
Governance is concerned with putting discipline on the relationship between data and information architecture and managing risks throughout the data lifecycle.
Information Governance is a strategic, cross-disciplinary framework composed of standards, processes, roles, and metrics that hold organizations and individuals accountable for the proper handling of information assets.
Data Governance is the discipline of cataloging, defining and assigning responsibility for managing corporate data assets. The Data Governance process provides a map of how data sources are used in the organization. To be effective, Data Governance needs to be part of everyday business processes.
The differences between Data Governance and Information Governance can be illustrated in the illustration below.
Information Governance and Data Governance work together to ensure the appropriate management and security of all data and information throughout their lifecycles.
A more detailed comparison can be found in the white paper, “What’s in a Name? How the term information governance is used and misused in the industry.“
We are trying to assess gaps in compliance with FHFA AB requirements on Data Management and Usage
Typical regulatory requirements in data management cover five functional areas, such as GSE regulator FHFA’s Advisory Bulletin 2016-04. They are Data Governance | Data Architecture | Data Quality | Data Security | Data Usage. Each area could take a major project effort for advancement. Where to start and how far should we go?
MetaGovernance’s proven methodology begins by gaining an understanding of your organization’s current state on each of the five areas. Our approach balances the efforts around regulatory compliance with the advancement in data quality, security and availability needed to add values to the business and innovate change.
MetaGovernance can provide assessment, gap analysis and strategic roadmap to be in full compliance within all five areas of Data Governance. Our Navigating to the Future planning approach is proven to achieve the needed results with minimum time and resources.
We are just launching a Data Governance program and are not sure where to start.
MetaGovernance begins by gaining an understanding of the key business objectives for your organization in starting to implement a Data Governance program. We also look at the level of experience that your delivery team will bring to the effort.
If there is a particular subject area of data that is the reason for the effort, then our Information Governance Quickstart Program will engage the stakeholders and quickly get to a detailed understanding of the current state of the data for the subject area.
If there is some uncertainty about where to begin a broader approach our Navigation toward the Future strategic planning process might be utilized or a maturity assessment could be conducted to discover root causes and plan a more strategic response.
We have policies and procedures for Data Governance but no real engagement by the stakeholders
When Data Governance operates in a vacuum it is difficult to add value to the organization. To make Data Governance meaningful, two things are often called for.
The first is the implementation of a robust Reconciliation Control Framework® to determine the quality of the data in the organization. When data issues are uncovered in the data that is using for reporting, then people start to care.
The other approach that is often successful is to expand Data Governance into Information Governance. This broader perspective, which includes security, legal, unstructured document, spreadsheet usage, as well as data in IT systems starts to uncover the true state of the organization’s information assets and leads to actionable initiatives to make improvements. Imagine that when disaster strikes without warning, you are able to resume operation timely and accurately because you have the complete metadata of your information asset and know what impact and dependencies are.
We have a data warehouse that is not being used or is not accurate
Data warehouses often fail for a number of reasons including lack of data quality, lack of timely availability of data, reporting complexities, warehouse design flaws, as well as traditional issues such as fear of change, inertia, etc. We have dealt with these issues for years. Through first-hand experiences we have developed the MetaGovernance Framework to provide the working model for how to proceed. A customized assessment will help in determine where to start.
We are using spreadsheets to capture governance information but don’t want to start a tool selection process
The tool selection process is often time consuming and expensive for an organization. There are many options ranging from catalog management to full suite of data intelligence functions. With multiple constituencies involved, the needs of Information Governance can get left by the wayside. Our Information Governance QuickStart Program puts the Information Governance process first, while using a lightweight Information Governance technology as a tool in the process rather than the centerpiece. software decision can then be conducted with a broader understanding of requirements and deliverables.
We have a master data management (MDM) and data quality (DQ) initiatives going on, but need to coordinate those efforts as part of a fully managed business driven Information Governance program.
It is very common for large organizations to have multiple information management efforts underway, often sponsored by different departments. If the tools were selected to solve specific data issues, then you will need to define all functions required of a set of tools which may include these existing technologies. Or consider a right-sized toolset that will meet the Data Governance needs.
A single managed approach of consolidating these data initiatives and governance efforts would be an ideal solution. The MetaGovernance framework provides the mechanism to consolidate all Data Governance efforts. To determine a future strategy our Navigation to the Future will set the focus to a desired future state.
We have spreadsheets being used to capture and report on data with insufficient controls in place
Many organizations do not have an official system of record for certain pieces of information. This data is often required to make calculations for management reporting. This information is often captured in spreadsheets and then extracted into other systems or other spreadsheets without appropriate controls in place. If the data at risk is well known, then the InfoStore module in InfoTrust™ might be the right tool for you. It allows the data to be captured in a controlled system with proper access and audit trails. If the organization does not have a clear picture of all the situations where the data is captured and used then Information Governance QuickStart Program might be called for.