Client CountryCzech Republic
A banking client faced slow, labor-intensive data processing across siloed systems; analytical outputs took days to weeks, increasing operational costs and the risk of delayed decisions. The client needed to significantly accelerate analysis compared to traditional approaches and reduce the “data–insight–action” time to minutes.
Data Assist unifies data from any relational sources (PostgreSQL, MSSQL, Oracle, MySQL, etc.) and from documents, automates processing, and uses AI to transform everything into clear outputs: dashboards, reports, summaries, and recommendations for next steps. It can extract facts from texts, link them with tabular data, and provides secure deployment both on-premises and in the cloud.
Anyone needing to work with data or its outputs.
2
Head of IT / Data / Technology
Joint implementation with the client
Vendor and later the internal team with our support.
Ops
In banking, data insights and reports were shortened from days to minutes, with less manual work and fewer errors.
What helped most was a close joint team with the client—shared discovery workshops, rapid iterations, and continuous access to business SMEs. Equally crucial was deep data understanding: early profiling and source mapping, unification of metric definitions, and setting up quality controls (validation, lineage). This combination eliminated ambiguities, reduced error rates, and accelerated delivery of tangible value.
Data inconsistency, with its potential for different interpretation.
Don’t wait—start leveraging your data to the fullest for all your employees.
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