If you are crafting a data governance framework then you will need to ask the correct and relevant questions. It will ensure that you are not only protecting data, but even making arrangements for agile infrastructure support.
Data is produced in more than one location and the privacy laws are stringent, so there is a need to maintain a balance between broad accessibility and security of the sensitive data. Good governance offers quality and insight that strengthens the confidence of decision-makers.
Crucial data governance questions to ask
Who organizes the data?
Today, the different departments and IT are given the responsibility to organize and manage the data. Both have different lineage, origin, and lifecycle. The data governance consultant from EW Solutions recommends that IT owns and deploys the enterprise-level data that is trusted, transactional, application-sourced, and master data. The business team needs to take the responsibility to incorporate this data with sources like purchase data, public domain data, Data Lake, and more.
Identify who uses these data and how frequently. It becomes easy to monitor the user’s login sessions and inquiries. Thus, you can develop and deploy different monitoring methods [manual or automatic] to gain visibility.
Where is data positioned?
Experts recommend positioning some files in the data lake [in-the-cloud or on-site], while a few need to reside in the data marts, labs, and sandboxes. The curated, clean, and reliable data must be deployed in the data warehouse.
IT unit will be liable to set an accurate DG framework that supports the high-speed virtual and physical projections. Organizing a centralized managed and scalable data virtualization technology allows real-time data sharing without a need to create complex data sync processes.
Who oversees and manages what?
If you assume that the team that consumes the data must govern it, then this is not right. It is the entire company that owns data governance associated with data quality and metadata. So, the ingested data needs to be incorporated with the enterprise data for proper management.
Does everyone understand data significance?
Business data variety, scope, and amount are exponentially growing, so it becomes too hard to find, decipher, and trust them. Experts recommend creating a system that helps the business and IT speak the same language or jargon. The governance data catalog can help to decode data into different business terms and link them with various data sets.
Are your staff and employees committed to data governance?
Setting the right technologies and procedures does not guarantee good governance. It is the people that will decide if the governance will actually work or not. The technologies and procedures are a part of the DG framework, which will work successfully with regular updates.
Communication between business and IT is crucial at every point. IT sets secure access points for enterprise data and analytics, while it is the responsibility of the business to be open and sincere about what works and what doesn’t. IT is expected to take the new governance role for creating a flourishing and economical analytical network, while the business can depend on IT for management of the created processes.
Good governance pays off in creating a more agile and collaborative culture!