Data & Cloud
Pipelines, a warehouse and dashboards from one team
Brihat Infotech collects the data your systems already produce, cleans it and puts it in one place, then builds the reports your managers read. We start with one business domain, such as sales or stores, and add the next when the first is running.
What the platform includes
- Platform design
a warehouse or a lakehouse, chosen for your volumes and your team.
- Pipelines
ELT jobs that load data from your ERP, apps and files, then transform it inside the warehouse.
- Semantic layer
one agreed definition of each measure, so "revenue" means the same in every report.
- Dashboards
built in Power BI, Metabase or Superset.
- Data quality and contracts
checks on incoming data, and written agreements with the teams that produce it.
- Governance
lineage showing where a figure came from, and a catalogue of what data exists.
- AI-ready foundations
clean, documented data that a model can use later.
Why one domain first
A first domain, such as sales or stores, gets named owners, agreed definitions, quality checks on every load and a dashboard people open. The next domain reuses all four. The platform grows by repeating something that already works.
Tools we build on
- Storage
PostgreSQL, ClickHouse or BigQuery
- Transformation and scheduling
dbt with Airflow or Dagster
- Streaming
Kafka
- Dashboards
Metabase, Superset or Power BI
How a build runs
- 01Source review, on site or in Noida. We list your data sources, the reports people ask for and who owns each table.
- 02The first domain. One business area goes from source to dashboard, with quality checks in place.
- 03The next domains. Each reuses the same platform and the same definitions.
The first governed domain typically takes 8 to 16 weeks. The team is one data architect, one analyst and a pair of data engineers. Phases follow How we engage.
What you keep
- The platform design and its decision records
- Pipeline code, in your own repository
- The semantic layer and dashboard definitions
- A catalogue with lineage for the first domain
A similar build
Pan-India logistics operator, control tower. The operator wanted live trip status without phone calls. We built a platform that takes in vehicle location, depot scans and messages from the drivers' app, with service-level analytics on top. See the logistics control tower case study
Also see: machine learning, which needs the clean data this service builds
Questions buyers ask
A data warehouse is one database that holds cleaned data from your other systems, laid out for reporting. Reports read from it instead of from the live ERP, so heavy queries do not slow daily work.
Yes. Power BI is one of three dashboard tools we build on, with Metabase and Superset. The choice depends on who will maintain the dashboards and what your licences already cover.
Name the report your team rebuilds by hand every month.
Tell us what you want to build.
The first call is 45 minutes with an architect, usually the founder. It is free, and we will sign an NDA first if you ask.