Managed Data Services

Simplify data management with our services and increase the efficiency of your teams.

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We empower leaders:

Your data team on a subscription basis

Our Data Team as a Service model is a subscription with flexible billing – per hour or per result.

Permanent service
Specific time and monthly budget
Implementation of medium or long-term plans and tasks, and ad-hoc support

Use data to grow your business Let’s talk

Flexibility tailored to your needs

Overloaded Data or IT teams? We provide comprehensive support without the need to build an internal team.

We provide access to highly qualified experts exactly when you need them. Data Scientists develop predictive models that forecast sales, while data engineers ensure infrastructure optimization – we match the team composition to current projects and challenges. Without unnecessary delays, recruitment or maintenance costs of unused skills. Your data team is always ready for change.

Take your company’s data usage
to the next level

At Alterdata we provide support at the level of database administration, data integration and warehouse management.

Reducing infrastructure costs

We optimize SQL queries, automate ETL, and eliminate unnecessary data processing. This allows us to reduce cloud costs by up to 30%, reduce the burden on IT resources, and accelerate analyses without the need to expand infrastructure.

Access to advanced skills

We provide access to analytics, data engineering and AI specialists, eliminating the need to build an internal team. This allows your organization to benefit from best practices without the long recruitment and training process.

Future-proof solutions

Our experts design, modernize and develop solutions for managing and analyzing data using the latest cloud technologies. We know how to start quickly and easily and how development should look like as needs grow.

Short time from design to implementation

We can optimize a warehouse or build ETL/ELT pipelines within a few weeks of starting work. This will allow your company to quickly gain tangible benefits that support its growth.

Full control over your data

We work remotely on the Client’s resources, which gives you full control and security, while using our expertise. Thanks to this, you can effectively manage data without having to engage your own IT resources.

Better data quality

Our team eliminate errors and chaos in your data, thus increasing its credibility. This in turn enables faster and more informed business decision-making.

Need a new approach to data?

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Migrating Data Warehouses to the Cloud

We move data systems to scalable and efficient clouds such as AWS, Google Cloud or Azure, providing flexibility, lower costs and better integration with AI tools.

Business Intelligence and Data Visualization

We create BI systems (e.g. Power BI, Looker, Tableau) that help companies make data-driven decisions, increasing their competitiveness.

ETL and Data Processing Automation

We optimize and automate data extraction, transformation and loading (ETL) processes, enabling fast and reliable information delivery.

User Behavior Analytics (Web & Mobile)

We analyze user traffic across apps and websites to deliver relevant recommendations to decision-makers.

Machine Learning and predictive models

We create Machine Learning models that predict key metrics (LTV, ROI, ROAS), streamline marketing processes and automate making good decisions.

Integration of data sources

We create comprehensive data management strategies, integrating various IT, ERP and CRM systems to provide a unified and consistent data ecosystem. This allows organizations to eliminate information silos, improve collaboration between departments and increase operational efficiency.

Audit and Optimization of Data Infrastructures

We review and analyze existing data solutions, identifying areas for improvement in performance, security and regulatory compliance.

Monitoring data quality and compliance

We provide mechanisms for quality control and data compliance with legal requirements (GDPR, HIPAA, SOC 2), minimizing the risk of errors and ensuring the security of corporate data.