SMC Data Engineering

Business Intelligence & Analytics Integration

Unifying transactional logs, payment histories, and web telemetry into secure warehouses and clear BI dashboards.

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Storytelling Case

The Pain of Operating in the Dark

STAGE 1 — Origin & Reality
STAGE 01 / THE HOOK

Static Analytics

Organizations are drowning in data but starving for insights. Spreadsheets are static, out-of-date, and prone to human error.

STAGE 02 / CHALLENGE

Siloed Pipelines

Data is siloed in payment processors (Stripe), web analytics (GA4), marketing logs, and production databases. Decision-makers have to guess or manually export tables, losing valuable hours and missing market trends.

STAGE 03 / SOLUTION

The SMC Answer

Robust, real-time Business Intelligence pipelines. We design automated ETL data flows, set up secure warehouse storage (Postgres, BigQuery), and deploy intuitive, visual dashboard panels (Metabase, Looker Studio) that update in real-time.

Engineering Capabilities

We organize your data layer to unlock instant, visual indicators of transactional and user health.

ETL & Pipeline Engineering

Automating data extraction, transformation, and load sequences to migrate records into analytical databases.

Real-Time Telemetry Panels

Developing custom dashboards with filterable visualizations using Metabase, Looker, or D3.js.

Multi-Database Syncing

Integrating transactional databases with marketing platforms and CRM interfaces for consolidated views.

Predictive Analytics & KPI Models

Structuring metrics maps, cohort retention tracking, and automated alert rules for key deviations.

Simulated ETL Pipeline Running

Check the visual operations of an SMC data pipeline processing database updates.

ETL Pipeline Synchronization Map
PostgreSQL Replica
Stripe Sales API
GA4 Analytics Stream
↓ETL SYNCHRONIZATION↓
BigQuery Warehouse
Normalizing currency & hashing PII...
Metabase Dashboard
Refreshed: live database KPIs...
Warehouse ready for ETL sync sequence.

Data Automation Savings Calculator

See how much time your team saves by eliminating manual reporting and dashboard creation.

5
150
Annual Overhead Saved

Calculated based on 4 hours saved per team member per week at an average rate of $45/hour.

$46,800
Our Stack Domain
any framework

We consult, architect, and deliver modules utilizing industry-standard technology frameworks.

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