Would your company have made different decisions if it had all the information it needed? Importance of good data in supply chain management is critical. Sales volumes are multiplying, distribution networks are expanding and winning contracts in a competitive global market is often made on small differentiators. Today’s supply chains are very data dependant and good data governance ensure insights that can create a surge in success charts.
Data Governance vs Data Management
Before we go into the technicalities of these two terms let’s step into the kitchen first. This analogy will help make the distinction between data governance vs data management. A well laid out kitchen with the best cooking appliances, gadgets and storage facilities makes cooking easier. But it needs to be used and to make the best use of all these tools, a cook with a recipe book are essential. The recipe tells you exactly how to turn out mouth watering dishes using the exact ingredients in the exact amounts mentioned. There you have it – the kitchen is data management in action and the recipe are the rules and procedures that ensure good data governance.
Data governance is setting a program in place that includes a governing body to define the set of procedures to ensure availability, usability, integrity and security of data. Data management is therefore the identification and execution the most suitable architectures, policies and practices to manage information lifecycle using technology.
Data management tools are standardized but they can be configured to the requirements of your organization. On the other hand, data governance will always be unique for your organization.
Data governance programs usually answer these questions
- Who will own responsibility for the data?
- Who can access what data and what actions can they perform?
- What are the security measures to safeguard the data and what controls will be put in place?
- Is our data compliant with new regulations, for example GDPR?
- Which data sources are approved for usage?
- What level of verification and validation is needed to maintain data correctness?
A defined system of data governance best practices is a prerequisite for the right technology planning