Data &
Analytics
Build a unified, transparent and governed data system — from source consolidation to analytics — so decisions are driven by data, not intuition.
From the first source to a full analytics platform
We build on the BI stack you prefer
One governed platform for all your data
Trusted by enterprise leaders
Pain points
Problems with data in your company
The gaps between collecting data and actually deciding with it.
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
Our 5-step cycle turns scattered data into a governed analytics platform your teams actually use.
We start from decisions you need to make, not from tooling.
14+ connectors to the systems you already run.
Metrics tied to owners and actions, not chart walls.
Deep-dive workshops with business and IT stakeholders to define KPIs, data requirements, architecture and integration scope
Connection and normalisation of all relevant data sources — CRM, ERP, databases, APIs and files — into the unified pipeline
Build the ETL pipelines, data warehouse / data lake and data quality layer that serves as the single source of truth
Design and implement analytical models, metrics, dimensions and calculation logic aligned to business requirements
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.
Data maturity assessment
Rate your current state across 5 dimensions — see where to start
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
Market benchmark
Data is everywhere — insight is scarce
Independent surveys show where analytics time and enterprise data actually go — before automation.
Sources: Informa TechTarget, Data, AI & Analytics Trends survey 2026 (primary) · IDC unstructured-data estimates · dark-data and data-quality figures — secondary industry aggregation 2024–2026. Ranges, not guarantees.
ROI
Estimate your analytics ROI
ROI estimator
Industry benchmarks — ranges, not guarantees
Why us
Why clients choose Noventiq
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
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.
Frequently asked questions
Questions we hear most often
How long does a data platform project take?
Between 3 and 12 months, depending on the number of source systems and the depth of reporting required.
Which BI tools do you work with?
Power BI, Azure Analysis Services, Tableau and Qlik, on Azure, AWS or Google Cloud, as well as on-premises setups.
Can you connect our existing systems?
Yes. The platform integrates ERP, CRM, accounting and other sources through 14+ connectors and custom pipelines.
Ready to unify your data?
Get a personalised consultation on Data & Analytics for your company.