Skip to main content

Alphavima Technologies

CASE STUDY

15 days of manual reporting, replaced by dashboards that update themselves

By the time leadership saw last month’s numbers, the month was already over. A live data warehouse fixed the timing problem for good.

Power BIAzure Data LakeAzure Data Factory
Custom Truck One Source ERP Data Migration and Integration with ETL Pipelines
CTCustom Truck One SourceKansas City, USA
15 days → livereporting cycle
3 ERPs → 1unified into one warehouse
100%automated data ingestion
CLIENTCustom Truck One Source
INDUSTRYEquipment & Fleet
REGIONKansas City, USA
ORGANIZATION SIZE2,000+ employees
SERVICESData Engineering
MICROSOFT PRODUCTSPower BI, Azure Data Lake, Azure Data Factory
ACCELERATORNone
PROJECT LENGTH~6 months
The client

About the client

Custom Truck One Source provides specialised truck and heavy-equipment sales, rentals and service across North America. Growth through acquisition left reporting scattered across multiple ERPs.

The challenge

The Challenge

Manual, Excel-based reporting consuming 15 days per cycle
Multiple disconnected ERPs with incompatible data
Data silos between business units
Delayed decisions across sales, rentals and service
Objectives
01One source of truth
02Real-time visibility
03Automated ingestion
04Trustworthy numbers
The solution

A central warehouse feeding live Power BI dashboards

Alphavima built a centralized data warehouse on Azure with automated ingestion pipelines (Azure Data Factory) drawing from each ERP continuously, validating and reconciling data in flight. Role-based Power BI dashboards give executives, branch managers and finance one live view of sales, rentals, service and inventory, replacing the 15-day Excel assembly line entirely.

THE JOURNEY

How the rollout ran

01

Discovery

ERP audit, reporting inventory, data mapping

01
02

Warehouse build

Azure foundation and pipeline development

02
03

Dashboards

Power BI models, role-based views, UAT

03
04

Go-live & adoption

Rollout, training, managed handover

04
MICROSOFT:Power BIAzure Data LakeAzure Data Factory
Before vs After

What changed

BeforeThe old way
  • 15-day manual reporting
  • Disconnected ERPs
  • Data silos
  • Delayed decisions
AfterWith Alphavima
  • Real-time dashboards
  • Centralized warehouse
  • Automated ingestion
  • Improved reporting accuracy
Microsoft Solutions PartnerISO 27001 certifiedISO 9001 certified20+ years delivering Microsoft solutions