The full data analytics pipeline, in one platform.
Zandara reads every source you have, works out the real-world things behind the records, connects what’s related, composes the answerable views, and keeps the whole model live.
The pipeline, stage by stage.
Every stage is visible. Every number traces to the file it came from.
Read every source, exactly as it is.
The platform ingests spreadsheets, exports, and database dumps in their original form. Nothing gets rewritten on the way in. Column headers, code lists, oddball formats, blank fields: the platform keeps all of it so you can audit any number back to the row it came from.
Work out the real-world things behind the files.
Data is not the point. Customers, jobs, sites, orders, events, invoices: those are the point. The platform reads across your sources and figures out which records refer to the same real thing, even when the systems disagree on spelling, ID, or format. It merges the ones that are the same and keeps the ones that are genuinely different apart.
Find what’s connected across all of it.
Once the entities line up, the relationships appear. Which orders touch which vendors. Which sites show up in which events. Which costs trace to which decisions. The platform surfaces these connections directly, and it lets you follow any link back to the raw records that support it.
Compose the answerable views.
The tables, charts, and rollups you actually want to ask questions of. Every value is either a raw number, a labeled roll-up, or an explicit “withheld.” Nothing is invented. Every figure has a trail back to the underlying records.
Keep it live.
The platform proposes alerts, cross-system KPIs, and automated workflows built on the live model. You decide which ones run. Alerts fire when something crosses a threshold or when a source stops reporting. KPIs recompute as data flows in. Workflows handle repeatable actions that used to require a person to stitch the systems together, once you’ve switched them on.
It tells you what you’re not measuring.
For every area the model touches, the platform tells you exactly what’s missing: fields you aren’t collecting, systems that aren’t reporting, entities you only have half a record of.
For each gap, the platform says whether the fact already exists somewhere in your data and only needs connecting, or whether nobody records it yet.
It tells you what to start collecting, in what form. Every fill makes the model sharper.
Every number is traceable, and every gap is visible.
Roll-ups are labeled as roll-ups. Withheld values stay withheld. Any figure on screen can be traced to the raw records that produced it. If the platform doesn’t have enough to answer a question, it says so, instead of guessing.
Built for the companies whose data lives in four or more places.
The platform is designed for organizations with 50 to 5,000 employees, at least four systems generating operational data, a few quarters of history to work from, and direct ownership of that data.
You keep your systems. You keep your data. The platform reads what already exists and gives you a live model on top of it.
Your data is trying to tell you something.
See it on a sample of your own data. No new infrastructure. No preparation on your side.