Effective Data
Governance Strategies
Knowledge
is Power
Data is everywhere with the shift to the cloud and remote workforce. It’s imperative to know, have visibility, and controls to all the areas of your organizations stored data. Understanding who has access to what data, sharing of data, uploading/downloading of data, etc. allows for a much stronger security posture.
The DL on DG
In the most basic terms, data governance is the process of managing the availability, usability, integrity and security of the data in enterprise systems, based on internal data standards and policies that also control data usage. According to Forbes, effective data governance ensures that data is consistent and trustworthy and doesn’t get misused. These practices are key to providing the foundation for AI practice management.
Data Privacy &
Compliance Protection:
Revolves around how data is securely shared, collected, and stored according to regulatory obligations.
Enterprise
Rights Management:
Controls access and use of an organization’s intellectual property.
Data Loss
Prevention (DLP):
Detecting and preventing the loss, leakage, or misuse of data within an organization due to insider or external threats.
Data Discovery
& Management:
Discovers, analyzes, indexes, searches, tracks and reports on multiple unstructured and structured data sources. DDM software extracts detailed metadata, content and contextual information to provide actionable guidance and processes to advance data management initiatives. This improves regulatory compliance, risk management, storage management and data analytic capabilities.
