Treasure Data was built to simplify customer data management and to help companies transform customer experiences by identifying, engaging, and acquiring customers efficiently with a flexible, scalable solution. Its configurable platform has a comprehensive connected network that allows companies to adapt it to their existing technology stack and futureproof their customer data initiatives.
This allows businesses to drive outstanding customer experiences by using rich customer data for insights.
It integrates with:
- Databases like Redshift, ElasticCloud, BigQuery, MS SQL Server, MongoDB, MySQL, PostgreSQL, Snowflake, Treasure Data.
- Visualisation platforms like Birst, Chartio, DOMO, Looker, JasperSoft, JasperReports, Metabase, PowerBI, MODE, Pentaho, QlikView, QlikSense, Redash, Slemma, Tableau.
Some of its features include:
- Data integration from various services and devices
- Data pipeline
- Data management
- Profile management
- Customer segmentation and journey orchestration
- Dynamic segment insights
- Predictive and lookalike modeling
Pros
- Fast support
- Constant improvements
- Fast and efficient data consolidation
- Pleasing user interface
Cons
- Some interfaces not that user friendly
- Workflow management could be easier
- Documentation could be a bit better
Pricing
Treasure Data’s pricing is not available on its website and they require that customers contact them to develop a pricing solution fit to the customer's needs.