Industries

Sector knowledge that shortens the discovery phase

We already know what a core banking extract looks like, why telecom CDR volumes break conventional warehouses, and what your regulator asks for at year end.

Banking & Financial Services

Our deepest sector. Core banking, cards, treasury, trade finance, Islamic banking products and the regulatory reporting that sits on top of all of it.

  • Core banking extracts from Temenos, Finacle, Flexcube, T24 and in-house systems
  • SBP, SAMA, CBUAE, QCB and MAS regulatory reporting datasets
  • IFRS 9 expected credit loss data preparation and staging
  • AML transaction monitoring feeds and fraud analytics
  • Islamic finance product structures modelled correctly, not forced into conventional schemas
  • Customer 360, segmentation, propensity and churn modelling

Telecommunications

Volume is the defining constraint. Billions of call detail records, network events and data-session records per day, with revenue assurance riding on getting them right.

  • CDR and xDR ingestion at multi-billion-events-per-day scale
  • Revenue assurance and leakage detection
  • Network performance and fault analytics
  • Prepaid and postpaid subscriber lifecycle analytics
  • Churn prediction and next-best-offer models
  • Mobile money and fintech arm reporting

Retail & Consumer

Multi-brand, multi-country groups across the GCC and Southeast Asia where each business unit arrived with its own ERP and its own definition of "sales".

  • Consolidation across multiple ERP and POS instances
  • Same-day sales, stock position and margin reporting
  • Ramadan, Eid and seasonal demand forecasting
  • Loyalty programme and customer analytics
  • Supply chain and replenishment analytics
  • Marketplace and e-commerce channel integration

Healthcare & Life Sciences

Hospital groups, insurers and pharmacy chains where clinical, claims and operational data need to be joined without breaching patient confidentiality.

  • HIS, EMR and claims data integration
  • De-identification pipelines for analytics on patient data
  • Bed, theatre and clinic utilisation analytics
  • Insurance claims adjudication and fraud detection
  • Regulatory and accreditation reporting

Logistics & Transport

Ports, freight forwarders, courier networks and airlines across the Gulf and Asia Pacific where operational data arrives continuously and decisions cannot wait.

  • Shipment tracking and exception analytics
  • Fleet telematics and route optimisation data
  • Port and terminal operations reporting
  • Cost-to-serve and lane profitability analysis
  • Customs and trade documentation data flows

Energy & Utilities

Oil and gas operators, power utilities and water authorities where sensor telemetry, asset data and production reporting all need the same governed foundation.

  • SCADA and IoT sensor data ingestion at scale
  • Production and well performance analytics
  • Predictive maintenance data foundations
  • Smart meter and consumption analytics
  • HSE and regulatory compliance reporting

Government & Public Sector

National and municipal entities pursuing digital transformation agendas — Saudi Vision 2030, UAE national programmes, and equivalent initiatives across Asia Pacific.

  • Cross-entity data sharing platforms with strict access control
  • Citizen service performance dashboards
  • Open data publishing pipelines
  • In-country data residency architectures
  • Statistical and census data processing

Insurance

Life, general and takaful insurers where actuarial, underwriting and claims data have historically lived in separate systems with separate truths.

  • Policy, claims and premium data consolidation
  • IFRS 17 data preparation and actuarial feeds
  • Takaful fund accounting structures
  • Claims fraud detection analytics
  • Distribution channel and agent performance reporting
Why sector knowledge matters

Generic data consultants spend your budget learning your business

A team that has never seen a core banking extract will spend six weeks discovering that transaction reversals need special handling. We start from a working understanding of your domain, which is why our discovery phases are measured in weeks rather than quarters.

Prebuilt data models

Starting schemas for banking, telecom and retail domains that we adapt to your specifics rather than designing from a blank page.

Known source system patterns

Established extraction approaches for the ERP, core banking and billing platforms common across our regions.

Regulatory templates

Reporting structures already mapped to the requirements of SBP, SAMA, CBUAE, MAS and comparable authorities.

Working in a sector we have not listed?

The engineering fundamentals transfer. Tell us about your data and we will be straightforward about how much domain learning would be involved.