Anodot AI-powered Analytics for
Optimize Data in Real-Time across the Business
Web-based businesses are click- and usage-driven, where customer satisfaction and recurring revenue are intricately tied together. Tracking millions of metrics with updates often by the minute, across global operations, you need to ensure 24×7 service uptime with uninterrupted availability of customer data.
Rapid insights into user behavior on your site can help business and data analysts identify where programs are working well or give early warning for problems and reduce customer churn.
Analyze Immense Quantities of Business and Technical Metrics
Web-based businesses can use automated anomaly detection to analyze immense quantities of metrics relevant to the business. Automation reduces the delays associated with manual analysis by funneling data from thousands of sources and millions of website users into one integrated analytics platform.
Track User Behavior
Track millions of events related to user behavior and identify issues as they happen, before they can impact your web business through accurate alerts, real time insights and with minimal maintenance.
Monitor Funnel Conversions
Quickly identify when potential revenue is leaking from your funnel possibly due to unusually high page latency that can cause web page load times to lag and frustrate customers.
Correlate Technical Issues
Get to the root cause faster and shorten the time it takes to triage business issues by correlating between all relevant metrics and events with their impact on the business, getting visibility to any related anomalies.
Maintain General Site Health
Detect issues automatically, without having to define what to look for by monitoring the general health of vast numbers of data streams across multiple dimensions and address issues before users start to complain!
Real-time Data Insights
Anodot Quickly Gets to the Root of the Issue
Anodot’s real-time AI Analytics can help web businesses maintain a single unified platform to capture data from thousands of sources, and identify and interpret trends and anomalies as they happen for more rapid root cause analysis.
By analyzing daily, weekly, seasonal, and annual trends, the Anodot system sets a baseline, enabling the determination of abnormal events and removing the problems associated with overly sensitive dashboards, alert fatigue, and false positives.
Complete Incident Detection and Notification
Anodot’s AI Analytics tracks all the web business-related KPIs you need to know, like:
- Transactions/orders error rate
- Page views per visit
- Unique pageviews
- Bounce session rate
- New user rate
- Page download time
- Page load time
- Unique visitors vs returning visitors
- Average time on site
Lyft optimizes its business with unique anomaly detection
How does the ride-share leader use Anodot to identify business risks in real time.
“By tracking specific metrics with Anodot, we can know when an anomaly occurs in real time, and correlate it to a specific event, like a feature update. When something changes suddenly, I want to know about it immediately. Anodot helps us achieve this.”
Take a closer look at how Anodot’s AI analytics delivers insights for web businesses.
AI-Based Anomaly Detection for Proactive Business Monitoring
Learn how Pandora is using anomaly detection to track millions of events per day and investigate potential pitfalls.
AI-powered Analytics ensures customer satisfaction at LivePerson
Find out how Anodot helps LivePerson to easily track in real time massive amounts of business-critical data, enabling their customers to get the most out of the LivePerson platform.
Find and fix business incidents in real-time with AI-powered analytics
Web-based businesses can use automated anomaly detection to analyze immense quantities of metrics relevant to the business.
You’re in Great Company
Hundreds of data-driven companies use Anodot, including:
Discover Business Incidents in Real Time
“Anodot…allowing more businesses to identify issues and opportunities in real time that otherwise could have taken weeks to discover.”