Service

Data integration solutions

Streamline business processes with data integration software. Eliminate data silos, improve consistency and accuracy in your data, reduce manual data management. Enhance data integrity for analytics, reporting, or AI integration.


Clients

Muuvr
Proprietary active-data-for-crypto platform
#Finance
CHCH
Modo
A leading data analysis company that provides valuable energy market insights.
#Energy
UKUK
Hastings Deering
Sells, services, rents and supports new and used Caterpillar machinery, equipment and power solutions.
#Manufacturing
AUAU
Clear Street
A diversified financial services firm which modernizing the brokerage ecosystem.
#Finance
USUS
Amina Bank
Crypto bank with a headquartered in Zug, Switzerland.
#Finance
CHCH
Critical Security
The company specializes in robust cybersecurity solutions to protect digital assets
#Cybersecurity
LTLT
Dragon Capital
An investment firm that has navigated Ukraine’s rocky financial waters, seizing hidden opportunities for its clients.
#Finance
UAUA
Fintexus
Operator of a fintech consulting agency intended to offer financial consultancy services.
#Finance
LTLT

Data integration problems we solve

01
Eliminate data silos

Our data integration software consolidates data from multiple sources, removing silos and enabling seamless systems integration across cloud data and big data platforms.

02
Improve data accuracy

The tool ensures data consistency and accuracy, centralizing information for better decision-making. It enhances the quality of data for analytics, reporting, and AI tasks.

03
Boost data availability

With improved data integration, cloud data becomes readily available for tasks like big data analysis, reporting, and AI integration, supporting faster and more informed business decisions.

04
Reduce manual data management

Automate data handling with our tool, reducing reliance on manual processes such as Excel spreadsheets. Free up time and resources while maintaining data accuracy and efficiency.


Key features of our data integration solution

Data extraction

Effortlessly extract data from various sources, including APIs, databases, and applications, with our data integration software. The tool supports structured and unstructured data, ensuring smooth systems integration across platforms. It streamlines processes and makes big data extraction efficient for cloud data environments.

Data transformation

Preprocess, clean, and transform your data seamlessly. The integration tool enhances data quality by eliminating errors and standardizing formats. It ensures data consistency across systems, preparing your big data for analytics, reporting, and AI integration, improving both accuracy and speed in decision-making.

Data loading

Easily load large datasets into data warehouses or data lakes with our data integration software. The tool automates the data ingestion process, making it simple to manage cloud data. It efficiently handles high volumes of big data, enabling faster access and use for analysis, reporting, and operational needs.

Alerts and monitoring

Get real-time alerts and continuous monitoring for all your data flows. Track cloud data movement, monitor performance, and detect potential issues before they disrupt operations. This feature ensures the reliability of your systems integration, improving data flow security and overall efficiency.

Customer data management

Our data integration app consolidates customer data from various sources, improving data accuracy and integrity. It provides a centralized view of customer data, facilitating better insights and decision-making. It ensures that big data on customers is easily accessible, secure, and ready for analysis, reporting, and AI-driven actions.



Integrations

Types of integrations

Databases

  • Postgres
  • Oracle
  • MySQL
  • BigQuery
  • MongoDB
  • Redis

Cloud storage

  • AWS S3
  • Google Cloud Storage
  • Azure Blob Storage

SaaS apps

  • ERP
  • CRM (Salesforce, Shopify, Zendesk etc)

Analytics tools

  • Tableau
  • Looker
  • Power BI

Big data solutions

  • Hadoop
  • Apache Spark

Messaging systems

  • Kafka
  • RabbitMQ

Benefits of our data integration solution

01
Custom data integration solution

For a quicker setup, data integration software includes pre-built connectors for databases, cloud storage, SaaS apps, analytics tools, etc. It enables seamless, no-code integration and allows custom pipelines. Alternatively, in case of any specific requirements, we can build you a custom solution.

02
Integration with ERP, CRM, and other systems

Easily connect with ERP and CRM systems via REST API, direct database connections (JDBC/ODBC), webhooks, or file transfers (CSV, JSON, XML). The tool enables real-time updates and data synchronization across platforms.

03
Security and data protection

Our solution ensures data protection with encryption (at rest and in transit), secure authentication (SSO, 2FA), and role-based access control. For extra security, it can be deployed internally via VPN.

04
AI-driven data integration

AI-powered, no-code tools automate data mapping, suggest connectors, and streamline pipeline building. Our solution uses AI to optimize data integration and supports AI model training with integrated data.


Technologies

Tools powering our data integration solutions

ELT platforms

  • Airbyte
  • Fivetran
  • Stitch

Data warehouses

  • Snowflake
  • Google BigQuery
  • Amazon Redshift

Transformation

  • dbt (Data Build Tool)

Orchestration

  • Apache Airflow
  • Prefect

Monitoring

  • Grafana
  • Datadog

Methodology

We explore your business context, define a problem,
and transform it into a solution.
6 steps to implement data integration solution
We explore your business context, define a problem,
and transform it into a solution.
00
01
Assessment

Evaluate the client’s data sources, needs, and objectives to determine the best approach for implementing data integration software. This step ensures the solution aligns with systems integration goals.

02
Planning

Design the data architecture and select the right tools, including data integration software and big data solutions. This phase ensures the system is optimized for cloud data and customer data management.

03
Setup

Install and configure the ELT platform and connectors to integrate cloud data and customer data. This tool streamlines data ingestion from various sources, ensuring seamless systems integration.

04
Development

Build data pipelines and transformation workflows using our data integration app. These pipelines automate data processing, ensuring big data is managed efficiently across all systems and platforms.

05
Testing and Deployment

Validate the integrity of cloud data and customer data before moving to production. This step ensures the data integration software runs smoothly and provides accurate, real-time insights.

06
Maintenance

Ongoing monitoring and updates of the data integration software keep systems integration reliable, while ensuring your tool scales as customer data and big data needs grow over time.


Get expert consultation on data integration

One of our data integration software experts will reach out to you within 24 hours to further discuss your project and answer any questions you may have.
Dmytro Voitekh CTO at S-PRO
Dmytro Voitekh

CTO

Areas of expertise: creating and implementing Al and data integration solutions, selecting appropriate tools and technology stack for web and mobile development, data encryption and security.

Ephraim Frei
Ephraim Frei

Head of Corporate Clients

Areas of expertise: enhancing data-driven decision-making, developing and implementing Al solutions for corporate finance, leveraging machine learning algorithms for predictive analytics, and automating complex financial processes.

Dustin Schulze, Senior Business Analyst at S-PRO
Dustin Schulze

Senior Business Analyst

Areas of expertise: finance strategy and transformation, specializing in driving financial growth through strategic planning and operational improvements. Proficient in business analysis, controlling, and reporting.

Dmytro Voitekh CTO at S-PRO
Dmytro Voitekh

CTO

Areas of expertise: creating and implementing Al and data integration solutions, selecting appropriate tools and technology stack for web and mobile development, data encryption and security.

Ephraim Frei
Ephraim Frei

Head of Corporate Clients

Areas of expertise: enhancing data-driven decision-making, developing and implementing Al solutions for corporate finance, leveraging machine learning algorithms for predictive analytics, and automating complex financial processes.

Dustin Schulze, Senior Business Analyst at S-PRO
Dustin Schulze

Senior Business Analyst

Areas of expertise: finance strategy and transformation, specializing in driving financial growth through strategic planning and operational improvements. Proficient in business analysis, controlling, and reporting.

1/3
One of our data integration software experts will reach out to you within 24 hours to further discuss your project and answer any questions you may have.

Case studies

  • Featured
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  • Other
Energy market insights analytics platform
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AI solution for the compliance domain
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Chemical research data visualisation
Communication and data management tool for hospitals

FAQ

Have you implemented data integration solutions in real projects?

Yes, at S-PRO, we use a pre-built data integration solution for internal analytics and reporting. We also developed a data management platform for Muuvr using a common cloud stack and a custom data ingestion pipeline for Modo.

What specialists are involved in a data integration solution?

Solution architects design the system, data engineers build pipelines, data analysts generate insights, database administrators manage storage, and project managers coordinate timelines.

How is AI used in data integration?

AI powers no-code tools for building pipelines, automating data mapping, and suggesting connectors. Also, companies leverage integrated and consolidated data to train their AI models. 

How long does it take to implement a data integration solution?

The timeline depends on the project’s complexity. Typically, we begin with an assessment phase, followed by setup, development, testing, and deployment, which can take from a few weeks to a couple of months.

What is the cost of a data integration solution?

The cost varies based on your needs. Pre-built connectors offer a more cost-effective solution, while custom-built pipelines tailored to specific requirements may increase the investment.


Get in touch

Get in touch
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R&D centers
Zug, Switzerland (HQ)
Dammstrasse 16, 6300
Zurich, Switzerland
Hardturmstrasse 161, 8005
Lodz, Poland
Zachodnia 70, 90-403
Lviv, Ukraine
Heroiv UPA 71, 79000
Kyiv, Ukraine
Verkhnii Val St, 24, 04071
Business representatives
Salt Lake City, USA
Kiln SLC, 26 S Rio Grande St, UT 84101
Austin, USA
11801 Domain blvd., 3rd Fl, Austin, TX 78758
Amsterdam, Netherlands
Science Park 608, 1098 XH
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