Data governance requirements such as the relatively new General Data Protection Regulation (GDPR) for enterprises doing business with Europe are driving a need to better understand customer data assets and where they reside within the organization. Businesses are collecting mountains of personal data about their customers that, when organized effectively, offers the potential to reduce regulatory and compliance risk and expenses.
Many organizations store information in data warehouses, MDM hubs or more recently, data lakes. However, with such systems collecting hefty streams of data on a daily basis, wading through and determining what information is relevant for compliance initiatives such as GDPR is a daunting task.
A key approach is to develop an agile single view solution, understanding relevant data assets and their quality and suitability for purpose. Clearly, the ability to collaborate on whiteboard style models with maps of existing data assets to these models, and an ability to profile directly against these models to evaluate their relevance is key. A complete solution based around Graph provides a natural way to model these requirements and understand the Enterprise Metadata Graph.
In this webcast you will learn how to:
- Adopt a proven approach that develops an agile single view & enterprise metadata management strategy around Graph databases.
- Deliver a model that is far quicker to implement & more agile than prior IT capabilities
- Enable governance of key data assets such as customer data with an eye towards key business drivers such as GDPR.