I have been using Apache Superset in my career for about three years, back in around 2018, because I was building an online gambling platform and we needed a cheap alternative to Tableau. We were using it because it was free, open source, and we could build all sorts of analytics on top of that. We did a lot of insights into game history and what kind of bets there were. Now, I am building another blockchain platform and I'm making the data useful from different sources, such as different blockchains and contracts.
Our main use for Apache Superset is data visualization. We use it daily to manage KPIs and data metrics through customized dashboards, aiding in decision-making processes within our organization.
We utilize Apache Superset to observe our service performance and determine its efficiency. This involves identifying areas where we may deviate from our targets, such as profitability or agent productivity, and analyzing trends within historical data to gain insights.
Chief Manager at a computer software company with 5,001-10,000 employees
Real User
2023-01-17T15:19:32Z
Jan 17, 2023
We are a service company that creates solutions for customers and we deployed this solution for one of our clients last year. Its main use case is for dashboards for customers wanting access to data. Primarily this was genomics data and the aim was to create a report in the dashboard. Dashboards are then embedded in the web application. We are customers of Apache.
Apache Superset provides seamless integration for data visualization and dashboard creation without the need for developer assistance. Its intuitive, no-code environment supports users to embed, query, and share data insights efficiently.Apache Superset offers a robust platform for data visualization through easy dashboard configuration and data integration. It facilitates query writing and reuses KPIs to ensure data consistency across dashboards. Users can embed dashboards within...
I have been using Apache Superset in my career for about three years, back in around 2018, because I was building an online gambling platform and we needed a cheap alternative to Tableau. We were using it because it was free, open source, and we could build all sorts of analytics on top of that. We did a lot of insights into game history and what kind of bets there were. Now, I am building another blockchain platform and I'm making the data useful from different sources, such as different blockchains and contracts.
We used the solution to help people make decisions based on real numbers and statistics.
Our main use for Apache Superset is data visualization. We use it daily to manage KPIs and data metrics through customized dashboards, aiding in decision-making processes within our organization.
We use Apache Superset to analyze the telecom data for our customers. We can create reports by directly accessing the data source.
We utilize Apache Superset to observe our service performance and determine its efficiency. This involves identifying areas where we may deviate from our targets, such as profitability or agent productivity, and analyzing trends within historical data to gain insights.
We are a service company that creates solutions for customers and we deployed this solution for one of our clients last year. Its main use case is for dashboards for customers wanting access to data. Primarily this was genomics data and the aim was to create a report in the dashboard. Dashboards are then embedded in the web application. We are customers of Apache.