You can improve the way you handle your organization's information by exercising data governance. When you team up with Eden Data, our governance gurus will have your back. We work on the cutting edge of Cybersecurity so you can reap the benefits.
No one knows data governance the way we do. We'll help you embark on your data governance journey through our master plan:
- Create Objectives: We'll start by identifying your company's pain points and determining the best ways to dress your data governance wounds.
- Assess Current Position: Our team will get the low-down on your company's existing data governance activities to figure out your current standing.
- Define Standards: Once we know how your business is holding up, we'll define necessary metadata standards for ensuring maximum data availability, efficiency and process delivery in your organization.
- Develop a Game Plan: We'll use all the information we've gathered so far to create a data protection plan that slays. Our data protection pros will create a blueprint detailing the perfect policies and processes for data monitoring, remediation and reporting.
- Establish Metrics: After we've devised a data governance plan for your company, we'll set key performance indicators so we can size up your progress.
- Roll out the Plan: Time to put your data governance plan into action. Our team will roll out your strategy by implementing processes and controls for effective data management within your organization.
- Document, Document, Document: All data-related decisions should be well-documented to support compliance requirements. We'll take detailed records of everything we do so you don't have to sweat it yourself.
- Measure Your Success: Now that we've gotten your data governance plan off the ground, we'll keep tabs to measure its overall effectiveness.
Data governance involves:
Policies: Policies establish who can access data, where you can store data and how long you can retain data.
Standards: Companies need to set standards for data quality assurance, participate in data monitoring and minimize data-related issues.
Data management practices focus on:
Processes: Data management requires individuals to enact specific processes for supporting data quality and usage. Standardization, cleansing, encryption, archiving and deletion processes are all part of it.
Tools: Companies can use many tools to prepare and manage data, like process automation applications and data loading software.