Holistics is designed to help business users to explore data themselves without bothering data teams.
Once raw data is stored in a data warehouse, data teams use Holistics to transform or model the data and prepare well-defined explorable datasets and reports for key data consumers. Semi-technical users can build their own reports with simple, visual report builders.
What are the core features of
Self-service analytics: Everyone can explore curated datasets to build reports without writing SQL.
Data modeling layer: Build a central repository of all your business logics and metric definitions.
Data Sharing and Delivery: Share insights with stakeholders in 1 click via email, slack and more.
Analytics as-code: Write code (DSL) to define analytics logics. Easily debug when things go wrong.
Git version control: Link your data project to Git, improve team collaboration and conflict resolution.
What are the benefits of using
Business users explore data freely without the need to know SQL, no more data requests bottlenecks.
Data teams do less ad-hoc work, stop being English-to-SQL translators, and focus on high-value work.
Stakeholders make decisions on the best data, all drawn from a single source of truth—the data warehouse