Data & Insights for Financial Services

Siloed Data, Delayed Decisions

Financial institutions generate enormous volumes of data across core banking systems, trading platforms, CRM tools, and compliance databases. But this data is often siloed in legacy systems, processed in overnight batches, and extracted manually for regulatory reporting.

The result is delayed visibility, inconsistent reporting, and an inability to make data-driven decisions in real time. Leaders lack the dashboards and tools they need, while compliance teams spend weeks preparing reports that should be automated.

Data Silos Across Core Systems

Critical data trapped in disconnected core banking, trading, and CRM platforms.

Batch-Based Reporting Delays

Overnight batch processing means decisions are made on stale data.

Manual Regulatory Data Extraction

Compliance teams spend weeks manually extracting and formatting data for regulators.

Lack of Real-Time Dashboards

Executives and managers lack real-time visibility into portfolio performance and operational metrics.

Our Approach

We build modern data infrastructure that delivers real-time visibility, automated reporting, and self-service analytics for financial services organisations.

Real-Time Data Pipelines

Streaming data architectures that process transactions, market data, and operational events in real time.

Executive Dashboards

Interactive dashboards that give leadership real-time visibility into portfolio performance, risk metrics, and operational KPIs.

Data Warehouse/Lake Architecture

Modern data platform design that consolidates siloed data into a single, queryable source of truth.

Automated Regulatory Reporting

Pipelines that automatically extract, transform, and format data for APRA, ASIC, and AML/CTF reporting.

Self-Service BI Tools

Business intelligence platforms that empower business users to explore data and build reports without IT dependency.

Data Quality Frameworks

Automated data quality monitoring, validation rules, and lineage tracking to ensure trustworthy data.

Our Offerings

Choose the engagement level that fits your organisation's needs and ambitions.

Essentials

A focused assessment that maps your data landscape, evaluates maturity, and identifies priority opportunities.

Data Maturity Assessment: Evaluation of your current data capabilities, quality, and organisational readiness for analytics.

Data Landscape Mapping: Inventory of data sources, silos, flows, and dependencies across core systems and business units.

Initial Recommendations Report: Findings summary with quick-win opportunities, gap analysis, and prioritised next steps.

Ideal for financial institutions seeking clarity on their data posture and where to focus first.

Talk to an Expert

Professional

Everything in Essentials, plus a comprehensive data strategy, architecture recommendations, and analytics capability roadmap.

Data Strategy Document: A detailed strategy covering data consolidation, quality improvement, and analytics enablement priorities.

Architecture Recommendations: Vendor-neutral guidance on target data platform architecture, integration patterns, and reporting infrastructure.

Analytics Capability Roadmap: Phased plan addressing reporting gaps, stakeholder needs, and workforce analytics skills development.

Ideal for organisations ready for a thorough data strategy with clear architecture direction.

Launch a Team

Enterprise

Everything in Professional, plus enterprise-wide data strategy, cross-functional governance, and ongoing advisory.

Enterprise Data Strategy: Organisation-wide strategy aligning data initiatives across divisions with executive-level investment case.

Cross-Functional Data Governance Framework: Governance model covering ownership, quality standards, lineage, and regulatory compliance across the organisation.

Executive Data Literacy Programme & Ongoing Advisory: Leadership upskilling and a retained advisory engagement for continuous strategic guidance.

Ideal for enterprises seeking organisation-wide data transformation with sustained expert guidance.