02 / Data Analytics

Transform data into actionable
business intelligence.

Data strategy, warehousing, ETL development, and dashboards that turn scattered operational data into KPI reporting and self-service analytics your teams trust — governed from day one.

< 2d
first pipeline delivered
99.9%
pipeline uptime SLA
100%
compliance audit pass rate

What is Data Analytics?

The discipline that turns raw organisational data into decisions.

/ Data Analytics — defined

Data analytics combines data strategy, warehousing, ETL, and reporting into one pipeline from raw source systems to decision-ready insight. Microlytics Ltd delivers it end to end on the platforms enterprises already run — Power BI and Tableau for dashboards; SQL Server, Snowflake, and BigQuery for warehousing; Azure, Google Cloud, and AWS for cloud data infrastructure — with a 99.9% pipeline uptime SLA.

ApproachAd-hoc Spreadsheets & Manual ExportsMicrolytics Ltd Data Analytics
Pipeline reliabilityBreaks silently, no alerts99.9% uptime SLA with monitoring
Data lineageUnknown origin of numbersFull lineage from source to report
KPI reportingRebuilt by hand each monthAutomated dashboards, always current
Self-service accessIT ticket for every questionGoverned self-service analytics
Compliance audit readinessCannot demonstrate provenanceAudit trail at every transformation

Three core capabilities.

From data strategy to governed, decision-ready reporting — built for compliance and scale.

Data Strategy & Warehousing
Data strategy that starts from the decisions you need to make, and warehouse architecture on Snowflake, BigQuery, or SQL Server built for scale and compliance.
ETL Development
Automated ingestion, transformation, and loading with full monitoring, error alerting, and data lineage — so nothing gets lost between source and report.
Dashboards & KPI Reporting
Dashboard development in Power BI and Tableau with KPI frameworks that give every team a single, trusted view of performance.

Data analytics, end to end.

Every capability behind a modern analytics platform — delivered on the tools your teams already know.

Data strategy & analytics roadmaps
Data warehousing on Snowflake, BigQuery & SQL Server
ETL development with monitoring & lineage
Dashboard development in Power BI & Tableau
KPI reporting frameworks for every function
Self-service analytics with governed access
Data governance, quality rules & access controls
Cloud data solutions on Azure, Google Cloud & AWS

Structured for speed, built for trust.

A four-stage delivery model — from strategy to production validation.

01

Assess

Map your data landscape, reporting needs, and the decisions that matter most.

02

Architect

Design the warehouse schema, ETL topology, dashboard suite, and governance framework.

03

Build

Deliver pipelines, warehouse layers, and dashboards in iterative, tested sprints.

04

Validate

End-to-end data quality checks, lineage sign-off, and team handover with documentation.

Common questions answered.

Everything you need to know about data analytics, warehousing, and dashboard development.

Ready to trust your numbers?

Tell us about your data landscape and reporting goals. We'll assess your current stack, identify quick wins, and come back with a prioritised plan.