Build reusable data marts that standardize your logic (or / and your SQL) and power dashboards in Sheets, Looker Studio, Excel, or enable automated AI Insights delivered to MS Teams, Slack, Google Chat or simply by Email.
Ad-hoc SQL and manual csv files don’t scale – especially when data analysts need to support growing business teams with reliable answers to their questions.
Deliver trusted, reusable data marts to business users while keeping full control. With OWOX you can build data marts using:
(1) SQL queries;
(2) Source tables, views or patterns from yoru data warehouse;
(3) Connectors to 3-rd party APIs (like Google or Facebook Ads)
Monitor, control versions, add descriptions & field aliases, publish changes from a single UI.
Describe fields with aliases, metadata, and documentation – like an internal API for data analytics.
Teams duplicate the same logic across Sheets, dashboards, and workflows – and it breaks constantly... And you have to rewrite the same queries. Again and again...
Create reusable data marts that power every downstream tool:
(1) Define once, feed into Sheets, Looker Studio, and Excel;
(2) Organize by project, domain, or client;
(3) Version and publish with confidence.
But that's not everything. Set prompts to analyze your data on a schedule a deliver trusted insights (the once you'd provide) into Slack, Teams, Google Chat or by Email. WIth or without AI.
When field names are cryptic and logic is undocumented, trust disappears fast. Plus, you get constant pings from teams figuring out what this or that field means.
Treat data marts like internal products, complete with structure, descriptions and context:
(1) Add field-level descriptions, aliases, and expected outputs;
(2) Document your logic for teammates and future-you;
(3) Ensure clarity and trust in every downstream report.
This not only ads clarity to your work, this enables your data for AI analysis.
Business teams want self-service. Analysts want control. Most companies get neither.
With well-structured data marts, you get both:
(1) Business users explore trusted data through filters, reports, dashboards, or with AI Insights that you prompt & schedule.
(2) Data teams own the underlying logic and governance, and prompts, and schedules. And all the governance.
As a result - everyone works faster – without breaking things.
