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DATA
One trusted foundation your
reporting and AI can both
depend on
Data engineering, integration, governance and analytics.
Overview
Most enterprises are not short of data. They are short of data anyone will stand behind.
The same metric defined three ways across three systems, pipelines that fail silently, no lineage to trace a number back to source, and a reporting queue that turns every question into a two-week request. The cost shows up as decisions made on instinct and AI initiatives that stall at data readiness.
We fix it at the foundation. We map your source systems, pipelines and consumption layer, then define a target architecture (warehouse or lakehouse, batch or streaming) sized to your actual volumes and latency requirements rather than a reference diagram. We build the ingestion and transformation layer with tested, version-controlled pipelines, orchestration and monitoring, and put governance around it: a semantic layer so metrics are defined once, data quality checks and lineage, cataloguing, and master data management for the entities that matter. The same platform then serves governed self-service BI and the feature and retrieval layers your AI work will need.
A foundation your reporting and your AI can both stand on.
Solutions
What we cover
Across the data lifecycle, from ingestion through governance to the insight layer. Each stage depends on the one before it, which is why we rarely recommend starting at the dashboard.
AI on Your Data
Machine learning and retrieval-based AI applied to your governed data estate.
DATA ENGINEERING & INTEGRATION
Data Engineering
Version-controlled ELT pipelines with orchestration, testing and monitoring, turning raw sources into reliable, documented datasets.
Data Integration
Batch and event-driven integration across applications and systems, with change data capture where near-real-time matters.
Data Warehouse
A modelled, governed warehouse or lakehouse with a semantic layer, so metrics are defined once and reconcile across reports.
Data Migration
Migration off legacy platforms with reconciliation, integrity checks and parallel running to de-risk the switchover.
DATA MANAGEMENT & GOVERNANCE
Data Management
Cataloguing, ownership and lifecycle management, so datasets stay discoverable, documented and accountable as the estate grows.
Data Quality & Governance
Automated quality checks, column-level lineage and access policy, giving you traceability from a dashboard number back to source.
Master Data Management
A golden record for customers, products and suppliers, with matching, survivorship rules and distribution to consuming systems.
ANALYTICS & INSIGHT
Data Analytics
Analysis that answers defined business questions, from ad-hoc investigation through to repeatable, decision-ready models.
Dashboards & Reporting
Governed dashboards built on the semantic layer, so the numbers reconcile and each audience sees the right level of detail.
Self-Service BI
Curated, permissioned datasets and training that let teams answer their own questions without bypassing governance.
Predictive Analytics
Forecasting, propensity and risk models built on the same governed data, moving reporting from retrospective to forward-looking.
Not sure where to start?
Most clients start where the pain is — a migration, a trust problem or a reporting bottleneck — and expand from there.
Services
How we engage
From a platform build through to running your pipelines and reporting.
Data Strategy & Advisory
We map your source systems, pipelines and consumption layer, define a target architecture and governance model, and sequence the roadmap against the decisions the business needs to make, so spend follows use cases rather than infrastructure for its own sake.
Data Engineering & Platform Build
We build the warehouse or lakehouse, ingestion and transformation pipelines and semantic layer, with orchestration, automated data quality tests, lineage and monitoring, so the foundation your analytics and AI depend on is observable and trusted.
Data Migration & Modernization
We move you off legacy or fragmented reporting onto a maintainable modern platform, with reconciliation and integrity checks at every stage and parallel running before cutover, so nothing is lost and the business keeps reporting throughout.
Analytics & BI Delivery
We design the data models, dashboards and curated self-service datasets that put governed insight in front of decision-makers, and enable your analysts to explore safely on permissioned data rather than exporting to spreadsheets.
Managed Data & Support
We run the platform against agreed SLAs: pipeline monitoring, failure recovery, cost management and schema change handling, and evolve models and reporting as source systems and business definitions change.
Our Approach
Assess. Model. Build. Visualize. Enable.
01
Assess
Audit sources, quality, lineage and consumption.
02
Model
Target architecture, data model and semantic layer.
03
Build
Pipelines, warehouse and automated quality tests.
04
Visualize
Governed dashboards and curated self-service.
05
Enable
Train teams and hand over documented ownership.
Why LogicSure
Decision-led, AI-ready, and independent on tooling
Decisions, not just dashboards
We work back from the decisions being made to the data and definitions they require.
Ready for AI
A governed foundation with lineage and quality controls that AI work can actually build on.
Independent on tooling
Warehouse, lakehouse and BI platform chosen on your volumes, skills and cost profile.
We can run it too
Ongoing pipeline, platform and reporting support against defined SLAs.
Put your data to work
Talk to us about the reporting nobody trusts, the migration you have been putting off, or the AI work stalled at data readiness.