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Analytics

Anodot - Autonomous Business Monitoring

Business metrics are notoriously hard to monitor because of their unique context and volatile nature. Anodot’s Business Monitoring platform uses machine learning to constantly analyze and correlate every business parameter, providing real-time alerts and forecasts in their context. Anodot reduces detection and resolution for revenue-critical issues by as much as 70%. We have your back, so you’re free to play the offense and grow your business.

Anodot - Autonomous Business Monitoring

Business metrics are notoriously hard to monitor because of their unique context and volatile nature. Anodot’s Business Monitoring platform uses machine learning to constantly analyze and correlate every business parameter, providing real-time alerts and forecasts in their context. Anodot reduces detection and resolution for revenue-critical issues by as much as 80%. We have your back, so you’re free to play the offense and grow your business.

Analyzing key drivers behind life expectancy with Yellowfin

Presented in the recent Gartner Showfloor Showdown event, we analyzed health indicator data to discover key drivers behind life expectancy in Australia. Along the way, we identified some interesting insights within the data. Watch this demo as we perform a walkthrough of Yellowfin and experience the platform through the eyes of data analyst.

Talend Named a Leader in the Enterprise Data Fabric, Q2 2020 Forrester WaveTM

We are happy to announce Talend is a Leader in The Forrester Wave™: Enterprise Data Fabric, Q2 2020. Talend’s unified approach to data management – combining data integration, integrity, and governance in a single platform – is the best way to gain clarity and confidence in your data. Since we launched Talend Data Fabric in 2015, we’ve been strong believers that data integration and management could not be solved with a static, siloed enterprise software solution.

Thanks to COVID-19 everyone is a data interpreter

One of the most interesting developments coming out of the current COVID-19 crisis is that people are looking at and interpreting data like never before. People that have never expressed an interest in data are now thinking about data and trying to understand what it means for them. There is a lot that businesses can learn from this. With COVID-19, people are taking the time to look at highly complex data, distill it, and assess what it means for their own behavior and lives.

Optimize Local and Global Decisions with Snowflake's Geospatial Support

Even in a global economy, businesses need a deep understanding of local markets. For example, marketing campaigns designed to attract buyers in a large metropolitan area won’t necessarily attract small-town customers. Noticing that buying patterns in one area are extending into a larger regional or nationwide trend can lead to decisions that increase profits. But accessing and analyzing a broad spectrum of geospatial data has been difficult and expensive. That is changing.