Data Engineering
Pipelines that move, clean, and shape data from source systems into reliable layers your teams can trust.
IngestionTransformationPipelines
Enterprise Data · Warehouse · Datamart
Data Warehouse & Datamart Services Leaders Can Trust.
Enterprise data, data warehouse, and SQL Server datamart services — plus knowledge capture so pipelines, mappings, and runbooks survive staff changes and audits.
Oxydata is a leading systems integrator in Malaysia for enterprise data warehouse and datamart delivery — designing ETL/ELT, data quality, and BI foundations enterprises need before analytics and AI.
SQL Server DatamartsETL / ELTKnowledge CaptureSince 2006
What we deliver
From Source Systems to Trusted Marts
Engineering, architecture, and ops for the data layer that analytics and AI depend on.
Data Warehouse Architecture
Warehouse designs that scale with reporting demand — clear layers, naming, and ownership for long-term maintainability.
ArchitectureModellingGovernance
SQL Server Datamarts
Subject-area datamarts on SQL Server for finance, ops, HR, and other consumers who need fast, focused reporting.
SQL ServerSubject areasReporting
ETL / ELT
Repeatable extract-transform-load (or ELT) jobs with logging, reruns, and handoff documentation — not one-off scripts.
ETLELTOrchestration
Data Quality
Checks, reconciliations, and exception handling so bad data is caught before it reaches executives and regulators.
ValidationReconciliationControls
Query & Performance
Indexing, query tuning, and load patterns that keep dashboards and reports responsive as volumes grow.
TuningIndexingLatency
BI Reporting Foundations
Trusted semantic layers and marts that Tableau, Power BI, and other tools can connect to without reinventing logic.
Semantic layerTableauPower BI
Datamart Ops & Support
Ongoing run support for loads, failures, and change requests — so the platform stays production-grade after go-live.
OperationsSupportChange
Knowledge capture
Enterprise Data Knowledge Capture & Operational Documentation
We document how data moves, what it means, and how to run it — reducing key-person and BCP risk alongside every warehouse and datamart build.
SME knowledge-capture workshops
Structured sessions with business and technical owners to surface how processes and data actually work.
Process & data-flow mapping
End-to-end process maps plus system, handoff, and dependency views — visible to ops and new joiners.
Data dictionaries
Agreed definitions for critical fields and metrics so reports stop arguing about whose number is right.
STTM & business rules
Source-to-target mappings and documented business rules — essential for audits, change impact, and handovers.
Operations manuals & runbooks
Playbooks for loads, failures, and recoveries — so support is not trapped in one person's head.
Key-person risk & SharePoint repos
Key-person and BCP assessments plus versioned SharePoint knowledge homes your organisation can maintain.
Customer stories
Engagements That Shaped This Practice
Selected engagements — challenge through outcome — across banking, utilities, healthcare, and enterprise data platforms.
Retail banking 360° & group reporting
One of the largest banks in Malaysia
Challenge
Retail banking data was fragmented across core banking, cards, deposits, and channel systems. Branch and product teams could not get a reliable customer 360° view, and group reporting depended on fragile overnight extracts that regularly broke before board packs were due.
Oxydata's role
Oxydata acted as systems integrator — designing the integration architecture, building SQL Server datamarts for customer 360° and group MIS, and standing up repeatable SSIS pipelines with clear ownership for BAU ops.
Technology
SQL Server data warehouse and subject-area datamarts; SSIS for staged extraction, cleansing, and load; controlled handoffs to Tableau / Power BI consumers for retail and group reporting.
Deliverables
Customer 360° and group reporting datamarts; SSIS packages with logging and restartability; source-to-target mappings and data dictionaries; operational runbooks for overnight loads and failure recovery.
Outcome
Retail and group reporting teams moved from ad-hoc extracts to a trusted daily refresh — faster customer insight for relationship managers, fewer failed board-pack loads, and a reusable foundation for analytics and AI.
Non-revenue water analytics & Power Platform
One of the largest utility companies in the UK
Challenge
Non-revenue water (NRW) losses were hard to see in operational time — leakage, metering, and network data sat in separate systems, so engineers relied on delayed spreadsheets instead of a live view of where water (and revenue) was being lost.
Oxydata's role
Oxydata designed and delivered a Power BI analytics layer for NRW monitoring and a Power Apps front end for field and ops teams, then layered predictive models to flag districts and assets most at risk of rising losses.
Technology
Power BI dashboards for NRW KPIs and network drill-down; Power Apps for guided data capture and workflow; SQL-backed models for predictive loss and anomaly scoring, integrated into the Microsoft cloud estate.
Deliverables
NRW Power BI workspace with district-level views; Power Apps for operational capture and escalation; predictive scoring outputs surfaced in the same reporting stack; documentation and handover for BAU ownership.
Outcome
Ops teams gained a single view of non-revenue water performance, faster investigation of loss hotspots, and earlier intervention signals from predictive models — reducing reliance on month-end spreadsheet packs.
Customer CRM · Teradata · SQL datamart · Tableau cross-sell
One of the largest banks in Malaysia
Challenge
Customer, CRM, and warehouse data for cross-sell and upsell lived across CRM systems and a Teradata estate. Product and relationship teams lacked a trusted, BI-ready mart for campaign targeting and performance reporting — Tableau consumers were stuck on volatile extracts instead of a governed model.
Oxydata's role
Oxydata architected and built a SQL Server subject-area datamart fed from customer CRM and Teradata sources, with ETL, quality checks, and structures shaped for cross-sell / upsell modelling and Tableau reporting.
Technology
Customer CRM integration; Teradata as an upstream source; SQL Server datamart with ETL/ELT pipelines; indexing and performance tuning for Tableau reporting workloads.
Deliverables
Production SQL Server datamart for cross-sell and upsell; load jobs from CRM and Teradata; data-quality controls; Tableau-ready semantic structures; handover runbooks for BAU refresh and support.
Outcome
Marketing and relationship teams gained a consistent reporting and modelling layer for cross-sell and upsell — Tableau dashboards on trusted mart data instead of ad-hoc extracts from CRM and Teradata.
Hospital dashboards across eight sites
A multi-hospital healthcare group in Malaysia
Challenge
Clinical and operational leaders across eight hospitals needed a shared view of performance, but HIS data was siloed per site — executives relied on late, inconsistent spreadsheet packs instead of a trusted group dashboard.
Oxydata's role
Oxydata designed and delivered a Microsoft-stack analytics platform — integrating hospital information systems into a SQL Server warehouse with a star-schema model, then publishing Power BI dashboards for group and site-level hospital KPIs.
Technology
SQL Server data warehouse with star schema; HIS integration and staged ETL; Power BI for hospital and group dashboards on the Microsoft technology stack.
Deliverables
Conformed dimensional model and fact tables; HIS-to-warehouse integration jobs; Power BI hospital dashboards for eight sites; documentation and handover for BAU refresh and support.
Outcome
Leadership gained a consistent multi-hospital view for clinical and operational decisions — same metrics across sites, faster insight than month-end packs, and a reusable Microsoft foundation for further analytics.
FAQ
Data warehouse & datamart FAQ
What enterprise data services does Oxydata offer?
We design and deliver data engineering, data warehouse architecture, SQL Server datamarts, ETL/ELT pipelines, data quality controls, query and performance tuning, BI reporting foundations, and ongoing datamart operations support.
What is knowledge capture and why does it matter?
Knowledge capture turns tribal know-how into durable artefacts — workshops, process and data-flow maps, data dictionaries, source-to-target mappings (STTM), runbooks, and SharePoint knowledge repos. It reduces key-person and BCP risk when specialists leave or systems change.
Do you work with SQL Server datamarts?
Yes. SQL Server datamarts are a core part of our enterprise data practice — design, build, optimisation, and operational support for reporting and analytics consumers.
How is this different from Predictive Analytics or Managed Services?
Enterprise Data focuses on warehouses, datamarts, ETL, and documented knowledge. Predictive Analytics builds ML models and conversational insights on top of trusted data. Managed Services covers Microsoft cloud application development, support tickets, Azure DB ops, and Power Platform — complementary practices with clear boundaries.
How do engagements typically start?
Most engagements start with a discovery of sources, consumers, and pain points — then a scoped plan for warehouse/datamart delivery and, where needed, a knowledge-capture workstream so documentation and runbooks land with the build.
Related services
Explore related Oxydata capabilities
Enterprise data
Ready for a warehouse or datamart that lasts?
Tell us about your sources, reporting pain, or knowledge-risk concerns — we'll propose a practical delivery plan.