Seven Steps to Effective Data Governance
Creating a framework to ensure the confidentiality, quality, and integrity of data – the core meaning of data governance – is essential to meet both internal and external requirements, such as financial reporting, regulatory compliance, and privacy policies. At its best, data governance roots out risk – both business and compliance risk – by increasing oversight. This white paper provides seven steps for taking such an approach, concluding with a real world example, taking an incremental approach using a repeatable framework that is a practical, proven strategy that any size organization can implement to suit their immediate and long-term needs and budget.
Please supply your email address to access the content.
- Hackers accessed Goodwill hosting provider for 18 months before card breach
- Cybercriminals target online retail businesses
- Citadel financial malware used in attacking petrochemical companies
- NSA reform bill stalled with Congress headed toward fall recess
- Browser vulnerability caps rough few months for Android security
- Committee backs new hacking powers for ASIO
- Sweeping security law would have computer users surrender privacy
- TIO reveals jump in complaints about mobile data charges
- Mobile Black Spot program to prioritise areas with 'skin in the game'
- Children’s e-Safety Commissioner will have far-reaching online powers