Stay compliant with strict data privacy and security policies with Log Analytics
Peace of mind for even the most data sensitive industries:
This gives you and your users a higher level of security with the ability to generate reports by importing web server logs.
NOTE: This doesn’t include e-commerce sites that use a payment gateway for transactions as that is protected by the payment provider.
- Government agencies: Serving the public means protecting the public’s identity that’s provided when they sign in to personal portals for government payments, documents etc.
- Financial institutions: When customers use online banking services or communication portals that hold delicate information, it’s even more important to be vigilant. Don’t risk data falling into the wrong hands.
- Healthcare: Patient confidentiality could be compromised if you aren’t fully protecting their records through an online service.
- Education institutions: How students and faculty members communicate through online portals, like Moodle, or how they access their grades and online resources should be protected by a highly secure tracking method.
No waiting around - actionable insights the second you setup Log Analytics
This way you get a head start in learning about who your visitors and customers are to grow your business faster.
NOTE: While there are many benefits to using Log Analytics, some features are unavailable using this tracking method, including:
- Screen resolution and page titles
- Content tracking
- Heatmaps and Session recordings
- Form analytics
Features of Matomo Log Analytics
- 100% data ownership
- Protect user privacy with IP anonymisation
- Recognises most server log formats (Apache, Nginx, IIS, etc.)
- Easily migrate from AWStats and Urchin by importing your historical logs into Matomo
- Track people who use ad blocker
- Sarbanes-Oxley and PCI compliant
- Automatically exclude bots (search engines, spam bots, etc.) from reports. There is an option to track bots and assign them a custom variable to differentiate them from human visitors
How it works:
Example of a web server log file