Application Development
Cyber Security
Featured
Management Consultancy
DH
Author
Douae Hammouche
Read time
2 minute read
Published
14 Apr 2026
Topics
AI and Data Science
→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 01
Live 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 02
Automated 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 03
Hybrid 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
“The right architecture lets you drill into any data granularity — across your entire enterprise.“
OmniVista · AI & Data Science · April 2026
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