Sharkmob
As a game developer, Sharkmob had little experience with the actual ecommerce…
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Data Integration Services for Businesses Running on Multiple Data Sources
The more data sources your business runs on, the harder it becomes to trust any single report. Forbytes builds data integration solutions that connect your sources, automate transformation, and give your team one reliable place to work from.
When You Need Data Integration
- Your team consolidates data from multiple sources manually
- Reports pulled from different systems rarely match each other
- Data quality issues surface after your team makes decisions
- Raw data piles up in your warehouse
- Your teams can't access real-time data when they need it
- Every new data source risks breaking your existing pipelines
Results You Can Achieve with Data Integration Services
| Data Integration Benefit | Business Impact |
|---|---|
| Automated data pipelines | No manual data movement between sources |
| Unified data across systems | One reliable dataset for reporting and decisions |
| Improved data quality | Cleaner inputs, fewer errors downstream |
| Real-time data access | Teams act on current data |
| Scalable integration architecture | Add new data sources without rebuilding existing pipelines |
| Automated data transformation | Raw data becomes usable without manual processing |
Real Client Results
Guesty’s Owners Portal
Context and Challenge Our client, WeSports Group, is a leading Scandinavian group of brands…
Legacy Modernization
Context and Challenge Our client, WeSports Group, is a leading Scandinavian group of brands…
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Claims Management System
Context and Challenge Our client, WeSports Group, is a leading Scandinavian group of brands…
Key Results:
- 6x faster calendar syncs
- 10x faster onboarding flow
- 65% improvement in performance
Integration with Third-Party Services
Context and Challenge Our client, WeSports Group, is a leading Scandinavian group of brands…
Key Results:
- 6x faster calendar syncs
- 10x faster onboarding flow
- 65% improvement in performance
Our Data Integration Process
Discovery & Requirements MappingMapping data sources, volumes, flows, and integration needs.
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Data MappingDefining field mappings, transformation rules, validation, and error handling.
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Testing & Data Quality ValidationTesting pipelines with real data, edge cases, and failure scenarios.
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Integration Architecture & DesignDesigning pipeline architecture, data flows, and transformation logic.
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Pipeline DevelopmentBuilding ETL/ELT pipelines, API connectors, and real-time data flows.
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Launch & Continuous MonitoringLaunching with monitoring to track pipeline performance and data quality.
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Data Integration That Holds Up at Scale
We build pipelines that handle growing data volumes without manual intervention.
Every pipeline includes error handling, alerting, and fallback logic from day one.
We work across cloud services, on-premises systems, and hybrid architectures.
The Right Integration Starts with Knowing Your Data.
Share your current stack and data challenges. We’ll scope the integration architecture and outline priorities before any development begins.
FAQ
What do data integration services include?
Data integration services cover the full process of connecting data sources, building pipelines, transforming raw data into usable formats, and loading it into your data warehouse or data lake. Our team provides ETL/ELT pipeline development, API-based data integration, real-time data flows, data quality validation, and ongoing pipeline monitoring.
How long does a data integration project take?
A single-source data pipeline typically takes 3 to 6 weeks. Projects involving multiple data sources, complex data transformation logic, or migration from on-premises to cloud data infrastructure run 2 to 5 months. After the first call followed by the discovery phase, we provide a specific timeline based on your data volume, sources, and integration needs.
Can you integrate data from both cloud and on-premises sources?
Yes. We build data integration solutions across cloud services including Microsoft Azure, AWS, and Google Cloud, as well as on-premises systems. For hybrid environments, we design the integration architecture to handle data movement and transformation across both without forcing a full cloud migration.
How do you handle data quality throughout the integration process?
We implement data cleansing, deduplication, and validation rules at the point of ingestion. Pipelines include monitoring and alerting so data quality issues are caught before they reach your data warehouse or reporting layer.
How do you handle structured and unstructured data in the same pipeline?
We design integration pipelines that process both structured and unstructured data from various sources. During the data mapping phase, we define transformation logic for each data type. Our team makes sure both reach your data warehouse or data lake in a consistent, queryable format.
Let's Get in Touch
Forbytes created an app that allowed users to quickly measure themselves to be fitted for custom shirts. As a result, we could increase our speed, quality, and shirt output per week. Forbytes was dedicated to delivering a solution that accurately addressed our needs.
Forbytes’ engineers and team leads worked as part of our RnD group and were directly managed by our company directors. They were both proactive and adaptable, qualities that perfectly match our needs in our fast-growing and constantly evolving environment.
Forbytes has a strong process-oriented way of leading the company, with good respect for themselves and their managers. They made a choice not to become too big but build slowly on more qualified people, which is paying off.
Niklas Hammar
COO & Business
Development at Offerta.se
Our e-commerce site saw online inquiries and orders rise after working with Forbytes. The team used top-notch expertise to inform their suggestions and improvements. Constant communication, quick responses, and prompt delivery made for a smooth and enjoyable collaboration.
The Forbytes team was very professional and demonstrated a great understanding of the business aspects. All tasks were completed above expectations. Their experts were always available, and we never needed to wait for a response or a suggested solution.
