PROVADIT translates business rules into data models, integrations and analytical products. We connect the meaning of a figure with its calculation and source data. Our data and business intelligence consulting serves companies in Switzerland and worldwide from Liechtenstein.
Our approach
A report is useful when its definitions and calculations reflect the business. We clarify how quantities, values, dates and exceptions should be interpreted before designing the data foundation. That makes the resulting analysis explainable to business and technical teams.
We identify the decisions a data product needs to support and turn them into precise requirements. Business rules, calculation methods, exceptions, source mappings and acceptance criteria give implementation teams a common specification.
Business requirements · Calculation logic · Acceptance criteria
We design data warehouses and analytical data layers, connect sources and develop transformations. Our project experience includes Oracle Cloud, SAP reporting environments, Databricks and dbt. The architecture follows your existing landscape and operating requirements.
Data models · Data warehouses · Transformations
We make missing data, inconsistent mappings and calculation failures visible. Shared definitions, validation rules and documented responsibilities help teams correct issues at their source and understand the limits of an analysis.
Data validation · Definitions · Traceability
We develop models, metrics and reports that connect operational and financial perspectives. Clear filters, useful defaults and retained history make the information easier to use. Practical workshops help business users adapt standard reports to their own questions.
Analytical models · Reporting · User enablement
Deliverables depend on the agreed scope and your starting point. They may include:
We clarify the business question, requirements and responsibilities with your teams.
We compare options, specify the solution and implement it ourselves or support your implementation teams.
We support acceptance, rollout, documentation and training within the agreed scope, with clear ownership for continued use.
We can develop data models, transformations and reporting ourselves, or provide the specification and solution engineering for your data teams. We agree on ownership, technical delivery, testing and handover for each engagement.
No. We evaluate options against business requirements, existing systems and the capabilities needed to operate them. Our experience with SAP, Oracle Cloud, Databricks and dbt informs the assessment without prescribing a vendor.
PROVADIT translates business logic into usable data products: an inventory model and its cockpit data interface in one engagement; an inventory and write-off data layer built with Databricks and dbt in another. Experience with an Oracle Cloud research data warehouse adds a different application context. An automatically updated inventory report for a corporate reinsurer connects country and company values with the latest insurance-relevant sales prices, reducing manual alignment.
Tell us where you stand and what you want to achieve. Together we can identify a useful starting point.
Discuss your priorities