- Fake Microsoft and Apple support add mobile ‘click-to-call’ to their arsenal
- 5 information security threats that will dominate 2018
- Free, filtered alternative DNS leverages threat-intelligence data to raise security baseline
- ABC leaks thousands of user passwords in AWS S3 error
- Industrial IoT explosion is making Australian CSOs “anxious” as IoT-security investments lag world
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.
- Free Whitepaper! Learn how to create an analytics environment that is governed, scalable and self-serve.
- Free Whitepaper! Learn how IT is evolving from producer to enabler, and fostering collaboration around analytics.
- Free Whitepaper! The 5 criteria to help you select the right analytics platform for your organization.
- Forrester: Brands struggling to meet CX standards in 2017
- Dentsu drops Mitchell moniker and rebrands to dentsu X in Australia
- Scott-Branagan leaves Deakin CMO post for role at ANZ
- What Aussie brands are doing to build an emotional connection with customers
- Using AI to enable a more human understanding of voice of customer data