Data Analytics

Real-Time Analytics Dashboard

500K Daily Data Points across a 5 months delivery with 7 engineers.

5 Months7 Engineers2024
500K Daily Data Points

Decision Latency

Real-Time

7days0days

Operational Cost

22%

100%78%

On-Time Delivery

+16pp

78%94%

Data Sources

Unified

015

The Challenge

The logistics company had operational data spread across many systems, so leaders were working from stale reports and incomplete visibility. That made it difficult to react quickly to delays, cost spikes, and service issues.

Our Solution

We built a unified analytics layer that pulled data from the core source systems, processed it continuously, and surfaced live operational dashboards for logistics and leadership teams.

Business Impact

Decision-making moved much closer to real time, operations became easier to monitor, and the business saw measurable gains in cost control and delivery performance.

Performance Timeline

BeforeAfter

Our Process

1Data Audit
2Architecture Design
3Pipeline Build
4Dashboard Dev
5UAT
6Go Live

Delivery Snapshot

Speed
98%
Coverage
100%
Accuracy
96%

Tech Stack

Azure DatabricksPower BISQL ServerPythonAzure Data FactoryCosmos DB

Technologies

Power BIDatabricksSQLAzurePython

Project Details

ClientGlobal Logistics Company
IndustryData Analytics
Duration5 Months
Team Size7 Engineers
Year2024

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