Every company reaches the point where the numbers live in too many places and no export reconciles with another. Forbytes builds the layer underneath your reporting: pipelines that move data on schedule, a warehouse that holds it, and validation that catches problems before they reach a dashboard.
| Data Engineering Benefit | Business Impact |
|---|---|
| Automated ETL and ELT pipelines | Data arrives on schedule without anyone assembling it |
| Central data warehouse or lake | One place to query instead of five exports |
| Data quality rules and validation | Bad records get caught at ingestion, not in a board report |
| Separated analytics workload | Heavy queries stop competing with your production database |
| Documented data lineage | Every number in a report traces back to its source |
| AI-ready data foundation | Analytics and machine learning projects start with usable inputs |
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Key Results:
Data Landscape AssessmentMapping your sources, volumes, refresh rates, owners, and the quality problems already present.
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#2
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Pipeline DevelopmentBuilding ETL and ELT flows, connectors, and transformation logic against agreed mapping rules.
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#4
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Reporting Layer SetupConnecting BI tools, defining metrics once, and setting access rules by role.
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#6
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#1
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Architecture & Storage DesignChoosing the warehouse or lake model, the storage layers, and how the data gets structured.
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#3
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Quality Rules & TestingAdding validation, deduplication, and error handling, then testing against real production data.
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#5
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Monitoring & OptimizationTracking pipeline health, query performance, and storage cost after the platform goes live.
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The one that takes three days to assemble, or the one nobody fully trusts. Tell us where its data comes from and we’ll map what it would take to produce it automatically.
Data engineering covers everything between your source systems and the reports your team reads: pipeline development, data warehouse and data lake design, migration from legacy storage, integration between systems, data quality and validation rules, and the reporting layer on top. Specific engagements often focus on one of these, and Forbytes runs each as a separate service with its own scope: data migration, data integration, data warehouse services, and business intelligence and analytics.
Reporting from production works until it stops working, usually when a heavy query slows down the application your customers use. A warehouse becomes worth building when you need history that production purges, when several systems have to combine in one report, or when analysts need access you cannot safely give them in production. The assessment stage answers this for your case, and a warehouse is not always the answer.
We build on Microsoft Azure, AWS, and Google Cloud, including BigQuery, and we work with on-premises and hybrid setups where a full cloud move is not on the table. Pipelines run with managed cloud services or custom ETL and ELT code, depending on your volume, budget, and who maintains the system afterwards.
Yes, we can. A common split is that Forbytes builds the platform and the pipelines while your analysts keep owning the metrics and the reports. We document the architecture, the transformation logic, and the operational runbook so your team can run and extend it. Where you plan to hire in-house later, we build with that handover in mind from the start.
Usually, yes. Most stalled AI projects fail on data rather than on models: inputs are incomplete, inconsistent, or scattered across systems that never agreed on a customer ID. A short data readiness assessment answers whether your AI use case is buildable now, what would need fixing first, and what that costs. That answer is worth having before anyone budgets for the model.
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.
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.
