What is Dataverse Solutions' data engineering?
Data engineering prepares and connects your company's data — scattered across Excel, ERPs, CRMs or legacy systems — into reliable infrastructure (Data Lake or Data Warehouse) ready for analytics, reporting or AI projects.
What's included
- Automated data pipelines (extract, transform, load)
- Data Lake / Data Warehouse design
- Integration of scattered sources (Excel, PDFs, ERP, CRM)
- Real-time data streaming when the use case requires it
How we work
We follow the same three-stage process on every project: 360° Diagnosis of your current situation, Solution Design with clear technical architecture and KPIs, and Implementation with short iterations and measurable results from the first weeks, with demonstrable ROI within 60–90 days.
Who it's for
For companies whose data is scattered, duplicated or messy, and who need a reliable foundation before investing in BI or AI projects.
Frequently asked questions
What if my data is in Excel or spread across several systems?
That's the most common starting point. We begin with a data source audit and design the pipelines needed to centralise and clean the data automatically.
Do I need to migrate to a new system to have data engineering?
Not necessarily. In many cases we build the data infrastructure without replacing your current systems — simply connecting them.
Is data engineering a one-off project or an ongoing service?
Both options exist: we build the initial infrastructure as a project, and offer ongoing maintenance for those who want the pipelines to evolve with the business.