Solutions for Specific Problems
We are just launching a data governance program and are not sure where to start.
MetaGovernance begins by gaining an understanding of the key drivers 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 warranted or a maturity assessment could be conducted to discover root causes and plan a more strategic response.
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. With multiple constituencies involved, including IT, data governance, legal, accounting, finance, enterprise architecture, etc., the needs of information governance, sometimes not yet fully understood, can get left by the wayside. Our No Barriers Program or Information Governance QuickStart Program put the information governance process first, while using world class information governance software as a tool in the process rather than the centerpiece. The 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 within the organization. If the problem is created by software that only targets specific data issues then the MGISuite of software tools presents an opportunity for consolidation of the software in use.
If the problem is organizational, then consolidating these efforts as part of a single managed approach might be called for. The MetaGovernance framework provides the mechanism to consolidate the efforts. To determine future strategy our Navigation to the Future will change the focus to the 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 our InfoStore software will allow the data to be captured in a controlled system for use in other programs. If the organization does not fully understand all the situations where the data is captured and used then a Information Governance QuickStart Program might be called for.
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. In fact, the genesis of MetaGovernance was driven by our experience with data warehouse efforts. Through these experiences we have devloped the MetaGovernance Framework to provide the working model for how to proceed. A customized assessment will help us determine where to start.
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 the organization 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 content, spreadsheet usage, as well as data in traditional IT systems starts to uncover the true state of the organization's information assets and leads to actionable initiatives to make improvements.