Automatically extracts, cleans, and standardizes data from multiple sources such as CRM, ERP, and IoT; using an advanced ETL/ELT process combined with data profiling and quality control to eliminate duplicates, outliers, and errors
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Data Collection, Cleansing, and Transformation
Automatically extracts, cleans, and standardizes data from multiple sources such as CRM, ERP, and IoT; using an advanced ETL/ELT process combined with data profiling and quality control to eliminate duplicates, outliers, and errors
Data Pipeline & Infrastructure Development
Design and operate modern data infrastructure (Data Lake, Cloud Data Warehouse); ensure stable and consistent data flow from source to analytics systems; process large-scale data in real time with low latency; automate deployment using “Infrastructure as Code”
Business Intelligence Dashboards (Power BI, Tableau, etc.)
Transform complex data into actionable insights through intuitive Power BI and Tableau dashboards; monitor key KPIs and operational performance with real-time data
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1. Initiation & Requirement Gathering
We engage to collect business requirements and identify necessary functional and non-functional requirements.
2. Technical Analysis & Design
Our experts deeply analyze requirements and determine the optimal architecture and technology stack for the project.
3. Development & Testing
We carry out the full development cycle, from building initial prototypes (PoC) to deploying the fully mature product, thoroughly tested and aligned with business objectives.
4. Operation & Maintenance
We collect user feedback, handle bug reports, and perform continuous upgrades and improvements to ensure system performance and stability.