AUTHORSDouae Hammouche
2 min
10 Aug 2026
RELATED TOPICS AI and Data Science Application Development Cyber Security Featured Management Consultancy
Case study · AI & Data Science · April 2026

Dynamic and Automated ETLs for a High Quality and Scalable Data Warehouse

Transforming fragmented raw inputs into a unified, scalable data warehouse powering over 100 Power BI dashboards for a fast-growing financial firm.

100+ Power BI dashboards
MS Fabric Platform deployed
24/7 Data availability
Multi Region coverage
Disparate sources unified
Scalable ETL automation
Real-time data integrity
EXECUTIVE SUMMARY

More data, better decisions — but only with the right architecture underneath.

The fast-paced financial industry keeps an ascending trend of portfolio managers and traders rushing to consume more data. For our client, a high-quality and controlled data warehouse was critical to keeping up with their growth.

With a target to source over 100 Power BI dashboards and reports, they needed to proficiently transform all raw data into relevant and normalised data. OmniVista provided the analysts, automation, and architecture to make that happen.

Bringing rich and diverse data into a meaningful data warehouse ensures deeper insights, better decision-making, and the ability to extract real value from every data source.

The challenge

Data growing faster than the infrastructure to handle it

Like any data-driven company, the client subscribed to disparate sources — investment, portfolio management, and operational data all arriving in different formats, structures, and schedules. Supplementing more raw data bolstered Power BI dashboards but added significant complexity to their ETL pipelines.

Object mapping complexity

Identifying similar business objects — securities, funds, portfolios — from diverse sources and mapping them to master tables and database IDs.

Dynamic format loading

Importing blotter files from different fund managers that each provide differently formatted files and columns — with no standardisation.

Scalable import architecture

Building an overall import process that adjusts dynamically to the continuous onboarding and retiring of raw data sources.

Load tracking & alerting

Tracking the status of scheduled loads and alerting when expected data — all or partial — was missing from the pipeline.

Data quality & integrity

Ensuring high data quality across every source and transformation — with clear audit trails and discrepancy reporting built in from the start.

THE SOLUTION

Three capabilities that transformed their data operations

OmniVista provided analysts capable of integrating into the client’s tech-savvy team, alongside expanded support coverage by both US and UAE teams for their business workflows from 11pm to 8pm ET.

Capability 01Live updates & expanded coverage

US and UAE analysts embedded into the client’s team, providing a constant stream of live updates and seamless data availability across multi-storage environments.

Capability 02Automated ETL pipelines

Translators, mappers, and program configurations allowing dynamic ETLs from various sources — accessible without extra development. Strong error logging and audit tables captured data discrepancies with clear root-cause articulation.

Capability 03Hybrid data warehouse on MS Fabric

MS SQL combined with MS Fabric and Power BI for detailed analysis — optimising business processes, analysing financial dashboards, and developing investment and growth strategies.

What this enabled

→ Reliable and comprehensive business intelligence in one place

→ Portfolio performance analysis across different granularity levels

→ Intensive financial market understanding for sharper decision-making

Architecture principles

→ Scalable import process adjusting to continuous source changes

→ Agile implementation converging to stable, reliable pipelines

→ Diagnostics visible across entire enterprise data flows

Ready to unlock the full value of your data?

OmniVista builds scalable data warehouses and analytics platforms for financial firms globally.

Get in Touch
Published On: August 10th, 2026 / Categories: Management Consultancy /