Snowflake · Databricks · Power BI · one model across systems
Data platforms and analytics
Data warehouses, pipelines and dashboards on Snowflake, Databricks and Power BI for companies whose ERP reports are no longer enough.
The problem it solves
Finance, sales and operations each report from their own system and the numbers do not agree. Management meetings start with reconciling spreadsheets instead of deciding.
When the ERP report, the CRM dashboard and the finance spreadsheet disagree, the problem is not the tools, it is that each measure is defined three times. We build one model, fed by pipelines from every system, and put the definitions where people can see them.
What we build
Assessment. Two weeks with the people who present numbers and the people who dispute them. The output is the list of measures, their sources and the gaps.
Model and pipelines. Each measure defined once. Pipelines from Zoho, StartERP, ERPNext, NTG Apps, databases and files into Snowflake or Databricks, with quality checks that stop bad data before it reaches a dashboard.
Dashboards. Power BI by role: the owner's page, the finance close, the sales pipeline, the warehouse. Definitions are one click away on every page.
Forecasting and alerts. Once the history is in one place, forecasting demand, cash and churn becomes a model on top of the warehouse rather than a spreadsheet exercise.
Where this connects to the rest
The data platform is where our AI agents get their context and where the results of an ERP implementation become visible to management. Most data projects start after an ERP or Zoho project, when the business wants to see what changed.
Questions we get asked
- Do we need a warehouse or will ERP reports do?
- If one system holds all the data and the questions are operational, its reports usually do. A warehouse pays off when two or more systems have to agree, when history matters, or when the questions change faster than the reports.
- Snowflake or Databricks?
- Snowflake when the work is mostly SQL and dashboards. Databricks when there is heavy transformation, machine learning or unstructured data. Both run well for the data volumes most companies in the region have; we size the platform to the data, not to the brochure.
- How long until the first dashboard?
- Four to eight weeks for the first set of agreed measures from two or three sources. The model grows from there.
- Have you delivered Snowflake or Databricks projects?
- Client data platform projects are listed on this page once the client agrees to be named. Until then we are happy to walk you through the architecture and a reference build on a call.
Not sure which route fits?
Book a consultation. We look at the systems you have, the ones you are missing and tell you the shortest path.