Data strategy & use cases
Prioritize business questions and define KPIs that matter.
- Use-case backlog
- KPI framework
- ROI sizing
- Roadmap & quick wins
Target Group: Business Analytics & Big Data
Turn data into decisions — Big Data that drives impact
We build data platforms that answer sales, ops and finance questions — with clean pipelines, trustworthy KPIs and pragmatic models.
- Lakehouse & ELT
- Real-time & batch
- Governance & privacy
Why analytics often falls short
Plenty of data, little insight: inconsistent KPIs, siloed sources and manual spreadsheets. We make data useful — fast and reliably.
Inconsistent metrics
Each team measures differently. We define a unified KPI model and a single source of truth.
Slow, manual reporting
Copy/paste & CSV hell. We automate ELT/ETL with orchestration, versioning and data tests.
Silos & compliance risk
CRM, e-commerce, ERP, IoT all disconnected. We integrate securely (privacy-by-design) with roles and masking.
Our Big Data services
Data engineering & platform
Reliable pipelines from source to lakehouse/warehouse.
- ELT/ETL + orchestration
- Schema & quality tests
- CDC/streaming
- Cost control/FinOps
Analytics & self-service BI
From raw data to insights teams can click on.
- Semantic layer
- Dashboards & reports
- Ad-hoc analysis
- Row-level security
Machine learning & forecasts
Forecasts & scoring that accelerate decisions.
- Demand forecasting
- Churn/CLV
- Anomaly detection
- MLOps & monitoring
Real-time & IoT analytics
Minutes, not days — act on signals quickly.
- Stream processing
- Event pipelines
- Operational dashboards
- Alerting & SLAs
Governance, security & privacy
Handle data safely — audit-ready and scalable.
- Catalog & lineage
- PII masking/tokenization
- Roles & approvals
- Retention & deletion policies
From raw data to business impact
1
Discover
Prioritize use cases, define KPIs, survey sources.
2
Ingest & model
Connect sources, model/lakehouse, quality tests.
3
Visualize & predict
Dashboards, self-service, ML models and scenarios.
4
Activate & govern
Feed insights into processes, automations, policies & audits.
FAQ
Which sources can you integrate?
CRM/ERP/e-commerce (e.g., SAP, Salesforce, Shopify), databases, files, APIs, IoT streams — batch or streaming.
How fast do we see results?
First KPI dashboards in 2–4 weeks (quick wins); ML models 4–8+ weeks depending on data.
How do you ensure privacy compliance?
Privacy-by-design: minimization, pseudonymization, RLS, access logs, retention and deletion policies.
Make data your advantage.
Start with a focused use case and deliver measurable value — with clear KPIs and strong governance.