Solutions — Data Platform & Engineering

Your Data Platform Is
Either an Asset or a Liability.
We Make It an Asset.

CALIGO designs, builds, and operates enterprise-grade data platforms for regulated industries. From architecture blueprints to production pipelines — we own the outcome, not just the deliverable.

Data Warehouse & Lakehouse Data Integration & Pipelines Real-Time & Streaming Cloud Data Platforms Billing & Revenue Data Data Architecture Design
Talk to an Architect See Case Studies →
The Problem

Most Data Platforms Are Built for
Yesterday's Requirements

Banks, insurers and telecoms have invested millions in data infrastructure — yet the majority still struggle with fragmented pipelines, unreliable reporting, and platforms that can't scale to meet regulatory or analytical demand.

The root cause is rarely technology. It's architecture debt, poor data modelling decisions made under delivery pressure, and platforms built by teams without deep domain knowledge of regulated industries.

CALIGO was built to solve exactly this. We combine data engineering depth with financial services domain expertise — so the platforms we design don't just work on day one, they compound in value over time.

Pipelines Break Under Regulatory Deadlines
IFRS 9, BCBS 239 or COREP reports fail at month-end because upstream data is inconsistent or undocumented.
No Single Source of Truth
Different teams pull different numbers from different systems. Trust in data collapses, decisions slow down.
Legacy Architecture Blocks Innovation
On-premise DWHs can't support ML workloads or real-time analytics. Cloud migration projects stall without a clear target architecture.
Rebuild Cycles Every 3–5 Years
Platforms built without proper modelling or governance deteriorate quickly, forcing expensive rebuild projects on a recurring cycle.
Vendor Lock-In Without Domain Control
Organisations outsource platform builds to generalist SIs and end up with black-box solutions they can't maintain or evolve.
Our Approach

Architecture First.
Delivery Always.

We don't start with tools. We start with your business model, regulatory obligations, and data flows — then design a platform architecture that is fit-for-purpose, future-proof, and operable by your team.

01
Discover & Assess
We map your current data landscape — sources, flows, quality issues, regulatory touchpoints, and team capabilities — using our structured Data Maturity Assessment. Output: a baseline you can act on.
Data Maturity AssessmentArchitecture Review2–4 Weeks
02
Design & Blueprint
We produce the target architecture: data model, ingestion strategy, storage layers, serving layer, and tooling decisions. We select from our pre-built domain models to reduce design time and risk.
Banking / Insurance / Telecom DWH ModelsCloud Architecture
03
Build in Sprints
Agile delivery in 2-week sprints with embedded CALIGO engineers. We use our accelerator library — pre-built dimensional models, ingestion templates, and regulatory data structures — to move fast without cutting corners.
Sprint-Based DeliveryAccelerator LibraryCI/CD Pipelines
04
Test & Validate
Every data layer is tested for completeness, accuracy, and consistency — including regulatory reconciliation checks. We don't hand over until the numbers match your source systems and your auditors are satisfied.
Data Quality FrameworkReconciliation Testing
05
Go Live & Transfer
Production cutover with parallel run, hypercare support, and full documentation. We train your team on the platform, establish runbooks, and optionally transition to our Managed Data Services.
Parallel RunHypercareKnowledge Transfer
06
Operate & Evolve
Through DataOps and 24/7 managed operations, we keep the platform healthy, compliant, and growing. New data sources, new regulations, new analytics use cases — we absorb them without major rework.
DataOps24/7 Managed ServicesPlatform Evolution
Reference Architecture
Source Layer
Core Banking
CRM / Policy
ERP / Billing
Network / Streaming
External / APIs
↓ Ingestion & Integration (Batch · CDC · Streaming) ↓
Integration & Storage Layer
Raw / Bronze Layer
Cleansed / Silver Layer
Business / Gold Layer
Real-Time Stream
↓ Transformation & Semantic Modelling ↓
Serving Layer
BI & Reporting
Regulatory Reports
ML Feature Store
APIs & Data Products
What We Deliver

Six Platform Capabilities.
One Integrated Architecture.

Each capability can be delivered independently or as part of a full platform engagement. All are underpinned by CALIGO's domain data models and engineering standards.

Data Warehouse & Lakehouse Design
We design dimensional models, star schemas, and medallion architectures tailored to your industry — built to serve BI, regulatory, and ML workloads from a single platform.
Kimball & inmon dimensional modelling
Medallion / lakehouse architecture
Regulatory & analytics separation
Azure Synapse · Databricks · Snowflake
Data Integration & Pipeline Engineering
Reliable, documented, monitored pipelines from every source system. We handle batch, CDC, and API-based ingestion — with reconciliation, lineage tracking, and SLA management built in.
Batch, CDC & event-driven ingestion
Azure Data Factory · dbt · Apache Kafka
Automated data quality gates
Full lineage & audit trail
Real-Time & Streaming Data Platforms
For use cases that can't wait for overnight batches — fraud detection, real-time customer scoring, network monitoring. We architect and build the streaming infrastructure to support them.
Apache Kafka · Azure Event Hubs
Apache Flink & Spark Streaming
Real-time fraud & risk signals
Low-latency serving APIs
Cloud Data Platform (Azure-First)
We design and deploy modern cloud data platforms primarily on Azure — combining Azure Data Factory, Synapse, Databricks, and Data Lake Storage into a unified, governed, cost-optimised architecture.
Azure Synapse & Databricks architecture
Azure Purview data governance
Landing zone & security design
Cost governance & FinOps practices
Billing & Revenue Data Platforms
Complex revenue recognition, subscription billing, and usage-based charging generate enormous data volumes. We build the analytical layer that makes this data trustworthy, auditable, and actionable.
Revenue reconciliation & assurance
Subscription & usage analytics
Leakage detection models
Billing data quality framework
Data Architecture Design & Review
Not every engagement starts with greenfield build. We assess existing architectures, identify structural risk, and produce a clear remediation and evolution roadmap — actionable, costed, and prioritised.
Architecture health assessment
Target state design & roadmap
Technology selection advisory
Architecture governance framework
Use Cases

What Gets Built on
a Well-Engineered Platform

The platform is the foundation. These are the use cases our clients unlock once it's in place — outcomes that were previously impossible or unreliable.

Banking · Regulatory
BCBS 239-Compliant Risk Data Aggregation
A unified risk data platform that aggregates credit, market, and liquidity exposures across entities — with full lineage, daily reconciliation, and automated COREP/FINREP outputs.
Regulatory reports produced in hours, not days
Insurance · Finance
Solvency II & IFRS 17 Data Chain
End-to-end data lineage from source systems to regulatory submission. Policy, claims, and actuarial data modelled in a single platform — audit-ready at any point in time.
Submission ready without manual reconciliation
Telecommunications · Customer
Unified Customer Data Platform (CDP)
Subscriber data consolidated from 6+ source systems into a single golden record. Enables real-time churn scoring, personalised campaigns, and CLV-based pricing decisions.
23% churn reduction achieved in 18M subscriber base
Telecom · Revenue
Revenue Assurance & Leakage Detection
A real-time data pipeline that reconciles network usage events against billing records — automatically flagging revenue leakage, unbilled usage, and rating errors before month-end.
Revenue leakage reduced by up to 2.3% of gross revenue
Banking · Credit Risk
IFRS 9 ECL Modelling Platform
A dedicated data platform for expected credit loss calculations — feeding historical loss data, macroeconomic scenarios, and staging logic into a validated, auditable model output pipeline.
Provisioning runs reduced from 5 days to overnight
Banking · Real-Time
Real-Time Fraud Detection Infrastructure
A streaming data platform that ingests transaction events, enriches with customer context, and serves real-time fraud scoring models — with sub-100ms latency at transaction volume scale.
Fraud detection rate improved by 34% over batch baseline
Related Accelerators

Start Faster with Pre-Built
Data Models

CALIGO's accelerators are production-tested data models and frameworks built from 10+ years of regulated industry engagements. They reduce design time by up to 60% — without cutting corners on quality or flexibility.

Banking
Banking Data Warehouse Model
A pre-built dimensional model covering retail banking, corporate banking, and treasury — with a dedicated regulatory layer for BCBS 239, IFRS 9, and COREP. Cuts DWH design time by 50%+.
Learn more
Insurance
Insurance Data Warehouse Model
Covers life, non-life, and health insurance. Pre-modelled for Solvency II, IFRS 17, claims analytics, and actuarial data — deployable on Azure Synapse or Snowflake.
Learn more
Telecom
Telecom Data Model
Network, revenue, and subscriber analytics built for MNOs. Includes subscriber lifecycle, usage-based billing, campaign performance, and churn prediction feature tables.
Learn more
Case Studies

Platforms We've Built.
Problems We've Solved.

All Case Studies →
InsuranceData Warehouse
DWH Optimisation — End-to-End Load Automation & 80% Performance Gain
Daily data loading took up to 15 hours, delaying reporting and analytics. CALIGO implemented a fully automated, dependency-driven pipeline cutting load time to 3 hours — an 80% improvement.
15h→3h
Load Time
80%
Performance Gain
100%
Automated
Read Case Study
InsuranceDataOps
ETL Pipeline Performance Overhaul — 85% Runtime Reduction
A compliance reporting pipeline running 10–12 hours daily with frequent failures. CALIGO overhauled the full architecture — parallel execution, 115 PL/SQL procedures rewritten — cutting average runtime to 1.5 hours.
10–12h→1.5h
Daily Runtime
85%
Reduction
115
Procedures Optimised
Read Case Study
Ready to Start

Your Next Data Platform
Should Be Built Once.

Whether you're starting from scratch, modernising a legacy DWH, or migrating to cloud — CALIGO brings the architecture depth, domain knowledge, and engineering rigour to get it right the first time.

Schedule an Architecture Review Explore Other Solutions →