Data Analytics
Turn your existing data into operational clarity
Companies accumulate data across sales platforms, inventory systems, and day-to-day operations — but without a way to connect and analyze that data, it sits unused. RMIT builds data analytics pipelines that bring your information together in one place, giving you dashboards and reports you can act on.
We use open-source tools with no per-seat licensing fees. If you already have server hardware, the total cost is your time working with us — nothing more.
What this looks like in practice
Centralized reporting
Pull data from multiple sources — CRM, e-commerce, public datasets — into a single analytical database.
Interactive dashboards
Give your team self-service access to the metrics that matter, without waiting on IT to run reports.
Automated data pipelines
Schedule extractions so your dashboards always reflect current data, with no manual exports or spreadsheet merging.
Governed access
Control who sees what through role-based permissions and single sign-on integration.
Case study: Identifying operational bottlenecks at zero incremental cost
A mid-sized company came to RMIT with a common problem: they had data in Salesforce, Shopify, and several internal systems, but no way to see it all together. Their teams were making decisions based on incomplete spreadsheets, and inventory mismatches were costing them money.
We designed and deployed a data analytics pipeline using their existing server hardware — no new capital expenditure required. Using Airbyte, an open-source data integration tool, we connected their Salesforce and Shopify instances along with U.S. Census and state-level datasets to provide market context. All data flows into ClickHouse, a columnar database built for analytical queries, and surfaces through Metabase dashboards accessible to business users via Google single sign-on.
Within weeks, the company identified that a subset of SKUs accounted for a disproportionate share of fulfillment delays. The inventory team adjusted reorder thresholds, and the operations team restructured warehouse staging. These were not insights that required new hardware or expensive software — they required connecting existing data and putting it in front of the right people.
Zero cost above existing capital expenditures
This deployment ran entirely on hardware the company already owned. Open-source tooling — Airbyte, ClickHouse, and Metabase — eliminated per-seat and per-connector licensing fees.
Architecture overview
Data Flow
Infrastructure Topology
Interested in what your data can tell you?
Reach out to discuss how we can build a data analytics pipeline tailored to your operations.
Contact Us