Transform Data into Competitive Advantage
We design and implement analytics systems that collect, process, and visualize data in real-time – using AI, Business Intelligence, and modern web technologies.
Why Data Analytics?
See the difference between data chaos and informed decisions
Guessing instead of knowing
- ✗Decisions based on intuition, not data
- ✗Scattered information across multiple systems
- ✗Manual reporting takes hours
- ✗No ability to predict trends
- ✗Reacting to problems instead of prevention
Data-driven decisions
- ✓Single source of truth for the entire organization
- ✓Automated dashboards updated in real-time
- ✓AI predictions ahead of the market
- ✓Alerts and notifications about anomalies
- ✓Measurable ROI from every decision
From raw data to decisions
Our data transformation process ensures cleanliness, security, and usability of information at every stage.
Ingestion
Aggregation from multiple sources
Processing
Cleaning and normalization
Analysis
AI and ML models
Visualization
Decision dashboards
What We Build
Comprehensive analytics solutions tailored to your needs
Data Warehouses
Central repository for all business data with full history and query optimization.
Example use case
"Sales data warehouse integrating POS, e-commerce, and CRM for retail chain."
BI Dashboards
Interactive data visualizations accessible from browser, customized for different departments.
Example use case
"Executive dashboard with KPIs for directors showing sales, margins, and forecasts."
AI Analytics
Advanced ML and AI models for automatic pattern detection and prediction generation.
Example use case
"Customer churn prediction model with 87% accuracy and automatic alerts."
Integrations
Seamless data connection from any source – from ERP to IoT.
Example use case
"SAP + Salesforce + Google Analytics integration in one dashboard."
Modern Data Stack
We build scalable solutions based on proven Enterprise-grade technologies.
AI & Vectors
- OpenAI API
- pgvector
- Qdrant
- Embeddings
Databases
- PostgreSQL
- SQL Server
- MySQL
- ElasticSearch
Backend & ETL
- C# / .NET
- Entity Framework
- Quartz.NET
- RabbitMQ
Visualization
- React Dashboards
- n8n Reports
- PDF Generation
- Airtable
FAQ
Frequently Asked Questions
Answers to questions we hear most often
How long does analytics system implementation take?
Typical MVP deployment takes 4-8 weeks. A full system with advanced AI features can take 3-6 months. We work iteratively – you'll see the first dashboards within the first weeks.
Do you integrate with our ERP/CRM?
Yes, we integrate with virtually any system – SAP, Oracle, Salesforce, Microsoft Dynamics, and also custom solutions via API or direct database access.
How do you secure data?
We use encryption at rest and in transit, RBAC access control, audit logs, and sensitive data anonymization. We are GDPR compliant and can deploy in on-premise environments.
Do we need our own data analysts?
Not necessarily. We design self-service BI systems that allow business users to create reports independently. We can also provide analytical support as part of our collaboration.
What is the cost of system maintenance?
Maintenance costs depend on scale and chosen infrastructure. For cloud solutions, it's typically 10-20% of implementation cost annually. We optimize costs through appropriate architecture.
Didn't find your answer?
Have data butlack clear insights?
Contact us – we'll design an analytics system tailored to your business and show you how to transform data into real competitive advantages.