find out how we can help your company
Leave a request so that we can advise you on our services
order a project
for your company
for your company
Leave a request and we will tell you how we can automate business processes
Data engineering and DWH implementation: manage your data effectively
We design systems for working with data, enabling businesses to make decisions faster and more accurately. From developing ETL/ELT pipelines to implementing Data Warehouses (DWH), we make your data accessible, organized, and ready for analytics.
WHO IS THIS FOR?
- Industry: Performance monitoring, logistics optimization, and quality control.
- Retail: Automated reporting, sales analysis, and inventory management.
- Financial Sector: Ensuring data accuracy for analytics and reporting.
- Technology Companies: Developing scalable infrastructure to handle large data volumes.
- Startups: Rapidly creating solutions for investor presentations or hypothesis testing.
What We Offer
DWH Design and Implementation
-
What It Is
A full-cycle Data Warehouse development process: from analyzing business requirements to integration with BI tools for analytics. We build warehouses that consolidate data from multiple systems, ensuring it’s accessible for analysis and decision-making. -
Who It Is For
Businesses that require a centralized data storage system for automated reporting, forecasting, or performance analysis. -
How We Work
→ Analyze your business goals and data sources, including CRM, ERP, and analytics systems.
→ Design a warehouse architecture that ensures scalability and high performance.
→ Implement the warehouse using solutions like BigQuery, Amazon Athena, or open-source tools like ClickHouse. -
Example
Implementation of a BigQuery-based DWH for a retail company. The warehouse consolidated sales, marketing, and logistics data, reducing reporting preparation time by 60% and improving analytics accuracy.
Building ETL/ELT Pipelines
-
What it is
Automation of data extraction, transformation, and loading (ETL/ELT) processes to consolidate data from different sources and prepare it for analytics. -
Who It Is For
Companies with fragmented data from multiple sources seeking to standardize and accelerate data processing. -
How We Work
→ Analyze data sources, volumes, and update frequency requirements.
→ Design robust pipelines aligned with business goals.
→ Use tools like Apache Airflow, Spark, and DBT to automate processes and reduce manual effort.
→ Optimize pipelines for real-time or scheduled data updates. -
Example
Developed ETL pipelines for an e-commerce company. Automated data collection from CRM, ERP, and analytics systems, reducing processing time from 12 to 2 hours and improving data accuracy, enabling faster decision-making.
Data Infrastructure Optimization
-
What It Is
Enhancing data warehouse performance, speeding up analytics, and reducing costs by adopting more efficient technologies. -
Who It Is For
Businesses using expensive cloud solutions (e.g., BigQuery) looking to optimize expenses without sacrificing quality or analytics speed. -
How We Work
→ Analyze your current infrastructure: query performance, cost drivers, and system load.
→ Migrate data to open-source solutions (ClickHouse, Postgres) or more cost-effective platforms tailored to your needs.
→ Optimize data architecture, indexing, and queries to ensure high performance. -
Example
Migrated a DWH from BigQuery to ClickHouse for a tech company. Reduced costs by 70%, increased analytics speed by 30%, and cut execution time for key queries from 10 to 3 seconds.
Data Modeling
-
What It Is
Designing data structures to consolidate information from various sources (CRM, ERP, web analytics) and prepare it for analysis. -
Who It Is For
Companies that need to organize data to make it convenient for reporting, analytics, and decision-making. -
How We Work
→ Analyze data sources and their relationships.
→ Design a data model based on your business requirements and goals.
→ Optimize the structure for fast query processing and BI tool integration. -
Example
Data modeling for a retail company. We combined data from Salesforce, Google Analytics, and 1C to build a unified data model for Power BI analysis. This reduced report preparation time by 40% and improved analytics accuracy.
BI and Analytics Support
-
What It Is
Configuring Data Warehouses for integration with BI tools (Tableau, Power BI, Metabase), creating user-friendly reports and visualizations. -
Who It Is For
Companies that need quick and clear reports to analyze key metrics and support decision-making. -
How We Work
→ Optimize data structures and create views for seamless BI tool operation.
→ Configure visualizations and dashboards tailored to your business goals.
→ Ensure fast query execution for analysts and managers. -
Example
DWH integration with Tableau for a financial company. We reduced report preparation time from 3 days to 4 hours, enabling the company to respond to market changes faster and optimize their strategy.
WHY CHOOSE US?
FLEXIBILITY
We tailor our approaches to your tasks, whether creating a scalable warehouse or migrating to more cost-effective solutions.
TECHNOLOGIES
We use the best tools, such as Apache Kafka for stream processing, ClickHouse for fast analytics, and Snowflake for cloud warehouses, ensuring reliability and efficiency.
EXPERIENCE
Over 7 years of experience in retail, industry, and finance. We have successfully completed projects, including DWH migration, ETL process automation, and BI setup for companies with multimillion data volumes.
RESULTS
We help reduce infrastructure costs by up to 50% and increase data processing speed by up to 10 times.
our cases
technology blog
Are you ready to improve the efficiency of working with your data?
Contact us to discuss your tasks and get a solution that will speed up the analysis and reduce costs!
By clicking on the "Submit" button, you agree to the privacy policy