Accelerators

Built Once.
Deployed Hundreds
of Times.

CALIGO's accelerators are pre-built, production-tested data models and frameworks distilled from 10+ years of regulated industry engagements. They reduce delivery time by up to 60%, lower implementation risk, and bring domain expertise to your project from day one.

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4
Pre-built accelerators
production-ready
60%
Delivery time
reduction typical
10+
Years of domain
knowledge embedded
3
Industries with
dedicated models
Accelerator Portfolio
01
Banking Data Warehouse Model
02
Insurance Data Warehouse Model
03
Telecommunications Data Model
04
Data Maturity Assessment Framework
Up to 60% Faster Delivery
Pre-built data models eliminate weeks of blank-page design. Your project inherits design decisions from 10+ years of production engagements.
Lower Implementation Risk
Every accelerator has been tested in production environments — proven entity relationships, data quality rules, and regulatory structures that work.
Domain Expertise Embedded
Banking, insurance, and telecom-specific data structures — built by practitioners who understand BCBS 239, Solvency II, and subscriber economics, not just data modelling.
Accelerator 01

Banking Data Warehouse Model

A production-ready dimensional data model for commercial and retail banking — pre-built for analytics, regulatory reporting, and AI workloads.

Banking
Banking Data Warehouse Model
Most banking data warehouse projects spend months designing entity relationships, resolving definitional conflicts, and mapping source systems to a target model — before a single transformation is written. Our Banking DWH Model eliminates this phase entirely.

The model covers retail banking (current accounts, savings, loans, cards), corporate banking (facilities, trade finance, treasury), and investment banking positions. Every entity, attribute, and relationship is documented, tested, and ready to adapt to your source systems.
Pre-built data quality rules for all critical data elements
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Model Coverage
Retail Banking
Current Accounts Savings & Deposits Retail Loans Cards & Payments Customer 360
Corporate & Treasury
Credit Facilities Trade Finance Treasury Positions Counterparty Exposure
Delivery Package
Logical & physical data model documentation
DDL scripts for target database
Source-to-target mapping templates
Data quality rule library
Business glossary for all critical data elements
Accelerator 02

Insurance Data Warehouse Model

A pre-built data model covering life, non-life, and health insurance — supporting actuarial data integration, claims analytics, and regulatory reporting.

Insurance
Insurance Data Warehouse Model
Insurance data is structurally complex — policy lifecycles, claims chains, reinsurance structures, actuarial projections, and regulatory reporting across multiple lines of business. Our Insurance DWH Model addresses this complexity with a pre-built data structure that insurers can deploy in weeks rather than months.

The model is designed to serve claims analytics, actuarial data needs, customer retention analytics, and fraud detection from a single, governed data foundation.
Actuarial data integration patterns included
Claims anomaly detection feature layer pre-built
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Model Coverage
Policy & Underwriting
Policy Lifecycle Premium & Pricing Reinsurance Policyholder 360
Claims & Operations
Claims Chain Loss Development Fraud Signals Actuarial Data
Delivery Package
Claims analytics feature library
Actuarial data integration guide
Accelerator 03

Telecommunications Data Model

A unified data model for mobile network operators — covering subscriber analytics, network data, usage-based billing, and churn prediction feature engineering.

Telecom
Telecommunications Data Model
Telecom operators deal with extraordinary data volumes — billions of CDRs, real-time network events, and subscriber interactions — but most struggle to turn this data into analytical and commercial value because the underlying data model isn't designed for it.

Our Telecom Data Model provides a unified subscriber, network, and commercial data structure for MNOs — pre-built for churn analytics, CLV modelling, revenue assurance, campaign performance, and network operations. Built from multiple operator engagements, it handles the nuances of prepaid, postpaid, convergent, and wholesale billing structures.
Campaign performance and attribution data model
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Model Coverage
Subscriber & Commercial
Subscriber 360 Product & Tariff Usage & CDR Billing & Revenue Campaign History
Network & Operations
Network Performance Cell & Site Incident & Outage Quality of Service
Delivery Package
Campaign data model and attribution structures
Accelerator 04

Data Maturity Assessment Framework

A structured 8-dimension framework that produces a scored maturity baseline, peer benchmark, and prioritised transformation roadmap in 3–4 weeks.

Framework
Data Maturity Assessment Framework
Before investing in data platforms, governance programmes, or AI initiatives, organisations need an honest baseline — where they actually are, not where they assume they are. Our Data Maturity Assessment Framework provides this in weeks rather than months.

The framework assesses 8 dimensions of data capability — strategy, ownership, quality, architecture, lineage, catalog, culture, and regulatory compliance — producing a scored maturity profile, a peer benchmark against regulated industry organisations of similar size, and a prioritised roadmap that is specific, costed, and actionable. It is the starting point for every CALIGO engagement and the business case for every data investment decision.
8 maturity dimensions scored on a 5-level scale
Peer benchmarking against regulated industry organisations
Dedicated regulatory readiness dimension
Prioritised roadmap with effort estimates per initiative
Board-ready executive output deck included
Request an Assessment
8 Assessment Dimensions
Strategy & Governance
Data Strategy Ownership & Accountability Culture & Literacy
Technology & Architecture
Architecture Maturity Data Catalog Lineage & Metadata
Quality & Compliance
Data Quality Regulatory Readiness
Assessment Outputs
Scored maturity profile across all 8 dimensions
Peer benchmark report vs. regulated industry
Prioritised transformation roadmap with effort estimates
Executive summary deck for board / CDO presentation
Delivered in 3–4 weeks
Quick Reference

All Four Accelerators
at a Glance.

01
Banking Data Warehouse Model
Retail, corporate & treasury banking with BCBS 239, IFRS 9, and COREP regulatory layer. 300+ entities, DQ rules, business glossary.
View Details
02
Insurance Data Warehouse Model
Life, non-life & health insurance with Solvency II, IFRS 17 GMM / PAA, QRT mapping, and actuarial data integration patterns.
View Details
03
Telecommunications Data Model
MNO subscriber, network & commercial data model with 140+ churn features, CLV inputs, revenue assurance, and campaign attribution.
View Details
04
Data Maturity Assessment Framework
8-dimension assessment, peer benchmark, and prioritised roadmap. Delivered in 3–4 weeks. The starting point for every data transformation.
View Details
How It Works

Accelerators Are Not
Off-the-Shelf Software.

Each accelerator is a structured starting point, not a fixed product. CALIGO adapts it to your source systems, regulatory requirements, and technology stack — dramatically reducing time and risk without locking you into a rigid architecture.

01
Source System Assessment
We map your source systems against the accelerator's entity model — identifying what maps directly, what needs adaptation, and what is missing. This replaces weeks of blank-page design with a structured gap analysis.
02
Model Adaptation
We adapt the accelerator to your specific context — source system structures, naming conventions, additional entities, and technology stack. The core model is preserved; the edges are shaped to fit.
03
Pipeline & Transformation Build
CALIGO engineers build the ingestion pipelines, transformations, and quality rules using the adapted model as the target — with the accelerator's pre-built patterns accelerating development at every step.
04
Validation & Handover
End-to-end testing, reconciliation against source systems, and full documentation handover — including data dictionaries, lineage documentation, and operating procedures for your team.
Typical Delivery Impact
Design phase reduction
50–60%
Typical DWH design time saved
6–10wk
Regulatory entities pre-built
300+
Data quality rules included
200+
Implementation risk profile
Materially Lower
Assessment delivery time
3–4wk
Ready to Start Faster?
Every CALIGO engagement begins with the right accelerator for your industry. Talk to us about which model fits your context — and how quickly we can adapt it to your source systems.
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