Services
What We Offer
For our clients, we offer the best solutions in the field of analysis, development and creation of corporate data warehouses.
Analytics and consulting
- IT solutions architecture design
- Cloud and on-premises solutions’ setup and configuration
- Consulting on implementation of DevOps practices
- Methodological support
- Data models development and customization
- Performance optimization of data processing
- Update of legacy systems
Data engineering for cloud and on-premises solutions
- ETL/Data Pipeline Design
- Data Processing
- Data Warehouse and Data Lake Design
- BI & Data Visualization
- Transition to another MPP system / ETL orchestration tool
Machine learning and predictive analytics
- Custom ML models development
- Claims fraud
- Churn Prediction
- Recommendation System
- Customer Segmentation
Data Quality and Data Governance
- Defining and implementing Data Governance strategy
- Data quality checks and processes
- Solving problems with data inconsistency
- Customized DQ solutions
Reporting and Visualization Services
- Consulting on reporting and visualization tools
- Design and implementation of reporting and visualization strategy
- Building custom dashboards and reports
- Improving the accuracy and completeness of data
- Train teams on how to use reporting and visualization tools
Data Start-Up as a Service
- Quick Team Setup
- MVP Development
- Data Architecture Consulting
- Quick Response to Existing Problems
- Accelerating time to market
- Ensuring solutions’ scalability
Model Project Structure
Discovery
- Defining high-level requirements
- IT solutions’ architecture design
- Preparing estimation and indicative roadmap
- Defining necessary supporting resouces and vendors
Planning
- Gathering and documenting requirements
- Preparing work breakdown structure
- Agreeing on schedule and budget
Design
- Software setup and configuration
- Data model development
- ETL/Data Pipeline Design
- Data Processing
- BI & Data Visualization
- Implementation of CI/CD practices
Release
- Defining release plan
- Forming and deploying release
- Documenting
Support
- Incident solving according to SLA
- Proactive monitoring
- Methodological support
- Consulting on further development of the solution (e.g. data governance, DQ)
- Designing new features
Project Roles
Data warehouse solution architect
- DWH architecture design
- Creating DWH standards and policies
- Defining tech stack
- Consulting on strategy of DWH development
Data engineer
- Data model development and implementation
- Building ETL processes
Business and DWH system analyst
- Analyzing sources of data
- Building analytics
- Defining requirements for data models and ETL processes
- Gathering functional and non-functional DWH requirements
Project manager
- Planning, providing estimations
- Management of delivery process and reporting
- Team and resource management
- Measuring performance and improving processes
Quality assurance engineer
- Designing testing plan
- Creating and implementing tests
DevOps engineer
- Setting up the DWH infrastructure
- Designing CICD processes for DWH development and support
