Anodot Autonomous Analytics Enables Browsi to Keep Pace with Data
Company Size
11-200
Region
- America
- Middle East
Country
- Israel
- United States
Product
- Anodot Autonomous Analytics
- Browsi AI technology
Tech Stack
- AI
- Data Analytics
- Real-time Anomaly Detection
Implementation Scale
- Enterprise-wide Deployment
Impact Metrics
- Customer Satisfaction
- Productivity Improvements
- Revenue Growth
Technology Category
- Analytics & Modeling - Predictive Analytics
- Analytics & Modeling - Real Time Analytics
- Application Infrastructure & Middleware - Data Exchange & Integration
Applicable Functions
- Sales & Marketing
Use Cases
- Predictive Maintenance
- Real-Time Location System (RTLS)
Services
- Data Science Services
About The Customer
Browsi is a startup based in New York and the Tel Aviv area. The company's technology provides large-scale publishers with the tools to gauge the visibility and impact of their online ad inventory. It uses AI to calculate content engagement, scale, and user experience, to optimize ad layouts, and to predict visibility for future ad campaigns. Its international clientele includes the U.S.-based media conglomerate Hearst Communications Inc. and the Israeli online media company Ynet. Browsi collects enormous amounts of data on a daily basis and so needs an autonomous monitoring system to assess KPIs.
The Challenge
Browsi, a startup providing large-scale publishers with AI tools to gauge the visibility and impact of their online ad inventory, was struggling with handling the enormous amounts of data it collects daily. The company needed an autonomous monitoring system to assess Key Performance Indicators (KPIs) such as page views, ad impressions, and other metrics for online movement and ad interaction. Browsi required real-time capabilities to respond to business or technical issues as they arise and to alert their customers of potential problems. Before integrating Anodot, Browsi had a limited view of its data systems and was alerted of technical or business problems only a day, and in some cases only several days, after they occurred. These delays and faults translated into a loss of revenue that could easily reach thousands of dollars.
The Solution
Anodot provides Browsi with a comprehensive system through which to parse out and analyze massive amounts of data as well as produce critical, macroscopic views of their customers’ various dashboards and KPIs. With the advantage of Anodot’s real-time anomaly detection, Browsi is freed up to get to their foundational work of increasing the visibility and impact of online ads. Anodot’s real-time anomaly alerts have allowed Browsi to improve their monitoring capabilities and focus on their more critical work of increasing ad visibility. On a daily basis, Browsi collects around half a billion events from its large-scale data sets. Anodot provides only around 10 to 20 event alerts. With such lean, reliable, AI-powered updates, the company can be confident that they are dealing with mostly real issues that merit their attention, as opposed to false positives or false negatives.
Operational Impact
Quantitative Benefit
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