AnalyticsIndustry: Enterprise 2023

Enterprise Business Intelligence & Reporting Platform

Built unified enterprise BI dashboards consolidating financial, operational, and sales metrics into a single reporting layer.

Colorful data visualization of stock market trends with financial charts. — Photo: Rafael Minguet Delgado / Pexels

20 hrs/wk

Reporting Time Saved

Reduction in manual data assembly time for executive leadership

8 Sources

Data Sources Unified

Centralized integration of ERP, CRM, billing, and web analytics

Real-time

Dashboard Refresh

Automated incremental data updates every 15 minutes

01 · Challenge

The problem on the ground

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Executive leadership spent hours manually pulling reports from 8 different software platforms, leading to delayed decision making and conflicting metric calculations across departments.

02 · Solution

How we engineered it

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Designed a centralized PostgreSQL reporting schema transformed via Python ETL scripts into pre-aggregated data marts, powering executive Power BI and web dashboards.

03 · Architecture

What's running under the hood

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ETL Pipeline: Scheduled Python scripts extracting operational metrics into a dedicated read-replica DB.

Dimensional Data Marts: Star-schema tables modeling MRR, customer churn, gross margin, and SLA compliance.

Power BI Dashboards: Interactive visual dashboards with role-based metric filtering.

Automated Alerting: Slack notifications triggered when key operational thresholds fluctuate.

04 · Results

What changed for the client

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Saved leadership over 20 hours per week in manual report preparation.

Established a single, audited source of truth across all business units.

Accelerated monthly financial close timelines by 5 days.

Empowered department heads with self-serve filterable performance metrics.

Technical Q&A

How does the BI platform maintain sub-second query performance?

Data is pre-aggregated into dimensional data marts on a read-replica database, ensuring complex analytical queries do not lock or slow down live production transactional tables.

Can business users create custom ad-hoc reports?

Yes, the platform exposes clean semantic models in Power BI and Metabase, allowing non-technical managers to build drag-and-drop custom reports safely.

Planning a similar analytics project?

Consult directly with our platform engineers to assess your workload and get a zero-downtime architecture plan.

Consult Engineers