Full data stack to create dashboards
Embeds a Redshift data warehouse to store your data, managed for you.
Provides an ETL to configure and schedule your data cleanings, aggregations, and filtering steps.
Comes with a dashboards editor to easily create and share dashboards.
Lets you join your data between several tables from many origins (Redshift, SQL servers, XLS files, Google Spreadsheets, API…) and add formulas without writing SQL.
Has the option to run python scripts on your data to let you extend Serenytics features (e.g. send an email with KPI, trigger ad-hoc alarms, compute advanced formula...).
How Serenytics works
Serenytics goal is to simplify the setup and reduce the cost of a full data stack to analyze data and compute KPIs. It comes with all the required modules: a Redshift datawarehouse, data connectors, an ETL and a dashboard editor. You can also extend its features by scheduling your own Python scripts. The alternative of using an all-in-one platform such as Serenytics is to build and manage your own platform (e.g. on top of AWS), but it requires more technical skills and at least one person in charge of maintaining it.
Get more out of Serenytics with Segment
Installing Serenytics with Segment makes it simple to set up a full data processing chain from collecting your events to sharing your KPIs in dashboards. Instead of setting up your own Redshift datawarehouse, configuring an ETL and a dataviz tool, just enable the Serenytics integration in Segment. Within a few minutes, you will have a production environment gathering messages from your apps and websites and custom dashboards to share your KPIs to your team.