Data &
Analytics
Build a unified, transparent and governed data system — from source consolidation to analytics — so decisions are driven by data, not intuition.
Pain points
Problems with data in your company
Data is scattered across different systems and not integrated — no single version of the truth
No unified platform for working with data and analytics — every team uses their own tools
Analytics and reports built manually or semi-automatically — time-consuming, error-prone
Hard to get timely, reliable information for management decisions
5-step cycle
Full development cycle
Requirements & system design
Deep-dive workshops with business and IT stakeholders to define KPIs, data requirements, architecture and integration scope
Data source integration
Connection and normalisation of all relevant data sources — CRM, ERP, databases, APIs and files — into the unified pipeline
Data platform construction (ETL / DWH)
Build the ETL pipelines, data warehouse / data lake and data quality layer that serves as the single source of truth
Analytical model development
Design and implement analytical models, metrics, dimensions and calculation logic aligned to business requirements
BI reporting implementation
Deploy self-service dashboards, reports and alerting in Power BI, Tableau, Qlik or the platform of your choice
Interactive tool
Assess your data maturity
Rate your company across 5 data dimensions to understand where you are and what to prioritise.
Deliverables
What you get
Unified data platform
All company data sources consolidated in one governed, monitored platform
Automated ETL pipelines
Production-grade data pipelines with monitoring, error handling and alerting
BI dashboards
Self-service dashboards for all business units with drill-down and alerting capabilities
Analytical models
Consistent metric definitions and calculation logic shared across all reports and teams
Data quality layer
Automated data quality rules, monitoring and reconciliation with alerting on anomalies
Documentation & training
Full platform documentation, data dictionary and training for analytics team
ROI
Estimate your analytics ROI
ROI estimator
Based on Noventiq project benchmarks
Why us
Why clients choose Belitsoft
Personalised solutions — custom architecture for each client's industry, processes and technology constraints
Cloud & on-premises expertise — works with Azure, AWS, Google Cloud and on-premise infrastructure with equal depth
Scalable architecture — solutions designed to grow from pilot to enterprise without rearchitecting
Best practices only — proven patterns for Data & BI systems from 7+ industry verticals
Technology
Tech stack
Cloud Platforms
Data Integration
Storage
Analytics & BI
AI & ML
On-Premises
Timeline
Project timeline
Real results
Case studies
FMCG — sales & distribution analytics
BI platform for sales and distribution analysis — consolidated data from 8 sources, replaced manual Excel-based reporting, reduced report preparation time from 2 days to 30 minutes.
Retail — inventory & supply chain analytics
Inventory management and supply chain analytics platform — real-time stock visibility across 150+ stores, automated replenishment recommendations.
Finance — on-premise BI infrastructure
On-premise BI infrastructure for a financial organisation with strict data localisation requirements — full DWH + Power BI platform with role-based access control.
Ready to unify your data?
Get a personalised consultation on Data & Analytics for your company.