Stronger data foundations for clearer reporting, better decisions and more credible AI adoption.

Data Systems Evolution Ltd helps organisations reduce reporting friction, improve data quality, modernise architecture and build a more dependable platform for analytics, automation and AI implementation.

Book a consultation Explore services

Business proposition

From legacy data silos to AI-ready business capability.

Support organisations moving from disconnected reporting, manual workarounds and weak data ownership towards a more reliable operating foundation for analytics and AI.

Focus areas

BI, AI and data platforms

Advanced analytics, Power BI, cloud architecture, automation and transformation delivery.

Business outcome

Better decisions

Clearer reporting, stronger data quality and platforms built for scale, speed and practical adoption.

Data-to-AI strategyAudit the readiness of your data, systems and cloud estate for advanced analytics and machine learning.
Enterprise architectureDesign resilient platforms for warehousing, lakehouse patterns, reporting and operational intelligence.
Automation at scaleStreamline pipelines and workflows so decision-making is fed by cleaner, faster, more reliable data.
Business intelligenceCreate reporting environments and dashboards that support clearer operational and executive decisions.
Cloud-ready deliveryShape Azure-based platforms and infrastructure patterns that can scale more cleanly with business demand.
Microsoft FabricBring data engineering, warehousing, integration and Power BI together on a unified platform with OneLake at the centre.

Data, analytics and cloud capability should be treated as strategic infrastructure, not isolated technical projects.

The operating model is built around practical improvement in reporting, business intelligence, platform resilience and delivery readiness, rather than disconnected technical workstreams.

Strategic data audits

Assess data quality, systems maturity, integration gaps and cloud readiness so investment decisions are grounded in operational reality rather than assumption.

Modern analytics capability

Turn fragmented reporting into trusted business intelligence with structured modelling, robust warehousing and dashboards that decision-makers can use with confidence.

AI-ready transformation

Create the technical and governance conditions required for machine learning, retrieval workflows and advanced analytics to deliver value safely and sustainably.

Enterprise-grade delivery

Bring architecture, reporting, automation and cloud implementation together in a more disciplined model that supports long-term operational confidence.

Microsoft Fabric capability

Support unified analytics delivery across data integration, engineering, warehousing, real-time intelligence and Power BI in one Microsoft-aligned environment.

Platform governance

Strengthen control over data quality, access, ownership and operating standards so analytics and transformation work can scale with less risk.

Consulting, architecture and implementation across the full journey from raw data to business intelligence and AI readiness.

Services are structured to address platform design, reporting modernisation, delivery assurance and the technical conditions required for scalable analytics and practical AI adoption.

Data-to-AI strategic audit and consulting

Evaluate current systems, identify technical blockers and define a practical roadmap for moving from disconnected data assets towards a platform that can support analytics, automation and AI use cases.

AI-ready data platforms and machine learning implementation

Build secure, scalable platforms for advanced analytics, vector-enabled retrieval patterns and custom AI workflows that sit on stronger operational data foundations.

Enterprise architecture, BI and automation

Design warehousing, cloud infrastructure, dashboards and pipeline automation as part of one joined-up capability rather than a series of disconnected delivery streams.

Azure Synapse and hybrid analytics architecture

Support Azure analytics services, gateway patterns and hybrid reporting estates where cloud capability needs to work alongside existing warehouse and on-premises data environments.

Power BI Premium and self-service BI enablement

Strengthen enterprise reporting with Premium-capable architecture, semantic model discipline, governance standards and practical support for controlled self-service delivery.

Databricks, Spark and Delta Lake engineering

Extend analytics capability through scalable engineering patterns built with Databricks, Apache Spark, PySpark and Delta Lake for more demanding processing workloads.

D365 F&O and AX reporting consultancy

Improve operational and finance reporting around Microsoft Dynamics estates with better modelling, reporting structures and BI layers aligned to business workflows.

End-user enablement and BI training

Help internal teams work more effectively with Power BI through practical training, development guidance and stronger reporting standards that support sustainable adoption.

Architecture oversight and delivery assurance

Provide technical oversight across delivery teams and implementation partners so platform, reporting and integration work remains coherent and commercially useful.

A structured engagement model for turning technical complexity into measurable business progress.

Assess the current estate

Review source systems, data quality, reporting pain points, architectural constraints and the maturity of existing cloud or analytics capability.

Define the target architecture

Establish the right approach for warehousing, data integration, business intelligence, governance and future AI or automation requirements.

Build and integrate

Implement data platforms, reporting layers, cloud services and automation pipelines with performance, security and maintainability in mind.

Support decision-making

Ensure the result produces trusted insight, clearer operational visibility and a stronger technical base for future transformation initiatives.

Discuss your data architecture, analytics roadmap or AI readiness in the context of practical enterprise outcomes.

Discuss your data estate