Data Extraction
Connect to relational and NoSQL databases, REST APIs, spreadsheets, CSV files, cloud applications, payment platforms and business systems.
Data Engineering · Analytics · Decision Intelligence
From Raw Data to Business Intelligence.
Evantu IT & Web Solutions designs end-to-end data solutions that connect business systems, transform complex information, automate reporting and turn operational data into actionable insights.
Built Around Your Business Data
The full journey from disconnected records to informed decisions.
Organisations generate valuable information through recruitment, payroll, attendance, point-of-sale systems, online transactions, customer interactions, bookings, finance, production and service delivery. Yet that information often sits in different applications, databases and files, making it difficult to understand the whole business.
Evantu IT & Web Solutions can design the infrastructure that connects those sources, extracts and transforms their data, builds reliable analytical models and delivers interactive dashboards, scheduled reports and meaningful business performance indicators.
Whether your organisation already has established systems or needs a new data environment, we develop solutions around your reporting objectives, operational workflows, security requirements and growth plans.
Connect your systems. Trust your numbers. Understand your performance. Make better-informed decisions.
End-to-End Data Intelligence
From operational data to business decisions.
An integrated analytical journey, from the original transaction or employee record through to the information your leadership team needs.
01 · Data SourcesHR, payroll, POS, e-commerce, finance, bookings, APIs and files
02 · ETL / ELTExtract, validate, clean, transform and load
03 · Data ModellingWarehouses, facts, dimensions and semantic models
04 · AnalyticsSQL, DAX, Python, KPIs and forecasting
05 · IntelligenceDashboards, reporting, alerts and decisions
Data quality, access controls, monitoring, documentation and governance can be incorporated throughout the complete data lifecycle.
Data Engineering & Integration
Reliable data pipelines. Clean, connected information.
We develop repeatable ETL and ELT processes that bring information from operational platforms into reporting databases, data warehouses and analytical models.
Data Transformation
Validate records, handle missing values, remove duplicates, standardise formats, merge datasets, apply business rules and calculate derived fields.
Data Loading & Refresh
Load information into warehouses, analytical databases or semantic models using scheduled, incremental or event-driven refresh strategies.
Data Quality & Reconciliation
Check completeness and consistency, match transactions across systems and identify discrepancies before they reach management reports.
Pipeline Orchestration
Coordinate extraction and transformation jobs with logging, failure handling, dependencies and operational monitoring.
Existing or New Infrastructure
Improve current data environments or design a new analytical foundation aligned with your organisation’s scale and requirements.
Relational & Non-Relational Systems
Bring different databases into one connected data strategy.
We can assess and integrate data across traditional SQL systems, NoSQL platforms, cloud data services and custom applications, selecting technologies that suit the project rather than forcing a single stack.
Relational DatabasesMicrosoft SQL Server, MySQL, PostgreSQL and Oracle
Non-Relational DatabasesMongoDB, DynamoDB and Redis, where suitable for the data architecture
Cloud Data PlatformsMicrosoft Fabric, Snowflake, Google BigQuery and Azure Synapse Analytics
Data EngineeringSQL, Python, Apache Spark and dbt
ETL & OrchestrationSSIS, Azure Data Factory and Apache Airflow
BI & VisualisationMicrosoft Power BI, Tableau, Looker, Looker Studio and custom web dashboards
These technologies illustrate available implementation options; final platform selection depends on technical requirements, licensing, compatibility and project scope.
Data Warehousing & Semantic Models
Build the model behind the numbers.
Good business intelligence depends on consistent definitions, well-designed relationships and trustworthy historical data—not simply attractive charts.
Dimensional Modelling
Design fact tables, dimension tables, star schemas, snowflake schemas, relationships and cardinality to support reliable analysis.
Historical Intelligence
Track changes over time through date dimensions, historical records and slowly changing dimensions where appropriate.
Semantic Layers
Define reusable business measures and consistent calculations so teams work from agreed metrics across departments and reports.
Warehouses & Lakehouses
Develop data marts, warehouse models and lakehouse architectures suited to data volumes, refresh needs and reporting use cases.
Shared Business Dimensions
Connect employee, department, product, location, customer and reporting-date information across otherwise separate systems.
Governed Data Definitions
Document metric definitions, transformations, lineage and validation rules so stakeholders understand how reported values are produced.
Advanced Calculations & Analytical Measures
Go beyond simple totals and spreadsheets.
We can develop complex calculations within SQL, Python transformation pipelines, semantic models and BI tools, choosing the right layer for performance and maintainability.
Time Intelligence
Year-to-date results, month-over-month changes, year-over-year comparisons, rolling averages and period-based performance measures.
Business KPIs
Revenue growth, turnover, attendance, conversion, profitability, resource utilisation, service-level performance and custom measures.
Advanced Analytical Methods
Variance analysis, cohort analysis, customer segmentation, forecasting, statistical modelling and anomaly detection.
Each KPI is defined against the organisation’s own business rules. For example, employee turnover may be calculated as employees leaving during a period divided by average headcount, multiplied by 100.
Business Application · Human Resources
Human Resources & Workforce Analytics
Connect recruitment, employee records, attendance, payroll-related information and workforce movements to understand staffing trends, costs and organisational performance.
Turnover & Retention
Employee departures, voluntary and involuntary turnover, retention trends, tenure and exit patterns.
Recruitment Performance
Applications, shortlisting, hiring rates, time-to-hire, cost-per-hire and recruitment pipeline progress.
Attendance & Leave
Attendance rates, absenteeism, lateness, overtime, leave usage and department-level trends.
Workforce Composition
Headcount, department distribution, employment type, tenure and workforce demographics where lawful and appropriate.
Training & Development
Training completion, qualifications, certification tracking and skills development needs.
Workforce Costs & Planning
Payroll trends, overtime costs, staffing demand, capacity and workforce allocation.
Business Application · Commerce & Finance
Sales, Point-of-Sale & Online Transaction Analytics
Bring together physical sales, online orders, payment gateways, inventory movements and accounting records to understand revenue and reconcile transactions.
Revenue & Sales Trends
Gross and net sales, discounts, refunds, average transaction value and revenue by product, branch, region or channel.
E-Commerce Performance
Checkout conversion, cart abandonment, payment success and failure rates, repeat purchases and customer behaviour.
Inventory & Profitability
Stock movements, inventory turnover, sales margins, profitability and performance against targets.
Transaction Reconciliation
Connect website orders, gateway payments, inventory entries and accounting transactions to identify missing or inconsistent records.
Multi-Location Reporting
Compare performance across stores, branches, regions, sales teams and digital channels using consistent metrics.
Scheduled Financial Reporting
Generate management summaries, trend comparisons and exception reports based on authorised financial data.
Business Application · Operations
Operational Performance & Service Delivery Analytics
Understand how resources, teams, processes and service delivery perform across departments and locations.
Efficiency & Capacity
Measure throughput, workload, resource utilisation, bottlenecks, delays and service capacity.
Bookings & Scheduling
Analyse appointment volumes, attendance, cancellations, waiting times and availability trends.
Quality & Outcomes
Track process completion, quality indicators, service standards and operational improvement initiatives.
Department Performance
Compare operational activity, workload distribution and delivery against targets across business units.
Healthcare Operations
Where appropriate, report on patient volumes, appointments, admissions, waiting times and department activity with strict data access controls.
Exception Monitoring
Highlight unusual patterns, overdue tasks, missed targets and records requiring management attention.
Visual Intelligence & Reporting
Interactive dashboards that help people act.
We turn well-structured analytical models into reporting experiences tailored to executives, department managers, analysts and operational teams.
Interactive Visualisation
Charts, KPI cards, filters, drill-downs, time comparisons, cross-report navigation and export options.
Automated Reporting
Scheduled refreshes, management reports, delivery workflows, exception alerts and periodic performance summaries.
Role-Based Views
Give authorised users relevant information while restricting access to confidential employee, customer and operational records.
Business Intelligence Without Borders
Your business intelligence. Wherever business takes you.
Business decisions do not always happen behind an office desk. Whether you are travelling internationally, visiting a client, working from another branch or reviewing operations from home, securely published dashboards can keep important business information within reach.
Evantu IT & Web Solutions can develop reporting solutions accessible through supported browsers and mobile devices, with appropriate authentication, role-based permissions and secure connectivity.
Review sales performance, workforce trends, transaction activity, operational KPIs and management reports from wherever you are authorised to work—subject to network availability and your organisation’s access policies.
From the office to the other side of the world—your authorised business insights travel with you.
Predictive Analytics & Forecasting
Use historical patterns to plan what comes next.
When data quality and history are sufficient, advanced analytical models can help organisations anticipate changes rather than only report what has already happened.
Demand & Revenue Forecasts
Estimate future sales, seasonal demand and changing business volumes.
Workforce & Capacity Planning
Assess staffing requirements and resource demand using historical operational patterns.
Trends & Anomalies
Identify unusual transactions, performance deviations and potential customer retention concerns.
Forecasts are estimates, not guarantees. Their reliability depends on data quality, historical coverage, model suitability and changing business conditions.
Trust, Security & Reliability
Protect the information behind every insight.
Sensitive workforce, financial, customer and healthcare data requires careful governance throughout collection, processing, storage and reporting.
Access & Confidentiality
Role-based permissions, authentication, appropriate encryption and protection of personal information.
Traceability & Quality
Audit logging, data validation, lineage, documented business rules and monitoring of pipeline reliability.
Continuity & Compliance
Backup and recovery planning, retention controls and safeguards aligned with applicable legal and organisational requirements.
Industry Application · Manufacturing
Intelligence where production happens.
From factory-floor transactions to management dashboards, manufacturing analytics can connect production activity, equipment availability, quality records and operational costs.
Production Output
Track units produced, output by line, shifts and production performance against targets.
Machine & Resource Efficiency
Monitor uptime, downtime, utilisation, capacity and operational efficiency.
Quality & Consumption
Analyse defective units, quality trends, energy consumption and material usage.
The same data engineering principles can serve manufacturing plants, hospitals, retailers, service providers and organisations of every size.
Our Development Approach
Built around your systems, users and decisions.
01 · DiscoverBusiness goals, data sources and reporting needs
02 · ArchitectIntegration, security and analytical design
03 · EngineerPipelines, data models and calculations
04 · DeliverDashboards, validation and user training
05 · SupportMonitoring, refinement and future growth
Turn Your Data Into Opportunity
Let Evantu build your data intelligence solution.
Tell us which business systems you use, where your information is stored, what reports you need and which decisions your teams need to make. We can help design the integration, transformation, modelling, analytics and reporting experience around your organisation.