October is National Cybersecurity Awareness Month. Many large data breaches have topped news headlines. With all of this great conversation taking place, it's a perfect opportunity for technical stakeholders and business stakeholders to come together and review their Data Governance Policies.
There are 5 Pillars in Data Governance:
These pillars are essential for defining good Data Governance Policies within your organization.
The main reason that organizations implement Data Governance policies is to improve and maintain the quality of your data. You should define metrics that are easy to quantify so that you can continue to measure the standard of your current data quality compared to the quality that you have in the future.
Some questions you might want to discuss are:
ER/Studio Business Architect can help to define Business Processes surrounding how you measure your data quality and the steps that need to be taken should your data quality start to slip beneath your defined data quality thresholds.
Another aspect of Data Governance is Data Definition. Organizations should have good Data Definitions so that everyone is on the same page in regards to what all of the data means and how that data relates to other data elements.
Good questions for Data Definition include:
ER/Studio Enterprise Team Edition includes Team Server which will allow you to create data definitions that can easily be published out to your organization so that everyone has a clear idea on how terms are used throughout the data elements in your system.
Data Lineage allows an organization to track data from its origination point to its final destination. Data lineage identifies the different processes that affect that data element. It also tracks the metadata associated to that data element.
Things to consider in regards to Data Lineage:
ER/Studio Business Architect can help to define Business Processes that track the flow of information through the processes in your system. ER/Studio Data Architect can help to track your data lineage and your metadata in greater detail.
Data Modeling allows you to design your data in the way that it needs to be. It allows your organization to be more consistent. It allows your organization to see all of your data elements in a cohesive picture.
Questions that you should ask in regards to Data Modeling:
ER/Studio Data Architect is a robust solution for all of your data modeling needs.
Organizations need to know who is accessing their data and how often. Good data access policies can keep your organization from falling prey to data breaches. Your organization needs to know who can make decisions regarding the use of your data.
Questions you should consider are:
ER/Studio Business Architect can help to define Business Processes that track access points throughout your system. ER/Studio Data Architect can help add metadata to your data models to identify who should be accessing information during which point in the process. ER/Studio Data Architect also allows you to identify sensitive data in models with security impact and privacy level.
Organizations need to review their Data Governance policies on a regular basis. With a good Data Governance process in place issues can be quickly addressed and resolved in a repeatable manner. Your organization should define how data quality is measured, how your data is defined, where your data goes and how it changes as it moves through your system, what your data looks like and who should be accessing your data.
Using tools like ER/Studio Business Architect, ER/Studio Data Architect and ER/Studio Enterprise Team Edition can help you to put Data Governance policies into place in your organization quickly.