Data analysis and operating specifications

Move from source-file analysis to signed operating specifications.

Turn unfamiliar files, reporting requirements, field decisions, and operational assumptions into reviewed specifications that teams can execute, audit, and reuse.

Problem

Source data rarely arrives in the shape your data model needs.

Firms are provided source data in different formats, structures, naming conventions, and levels of quality. Teams have to interpret fields, define transformations, resolve edge cases, document rules, and agree what the output should be. That analysis is still too manual, too slow, and too hard to evidence.

How Fontana helps

Turn any source data into governed specifications.

Fontana analyses source data, identifies quality issues, proposes mappings, captures decisions, and turns agreed logic into a governed operating specification. That becomes reusable operating knowledge, reducing repeated analysis, accelerating future onboardings, and increasing the amount of work that can be automated over time.

Source-file analysis

Profile files, extracts, and reporting inputs so structure, edge cases, and quality issues are visible early.

Operating specification creation

Convert field decisions, transformations, controls, and open questions into a reviewed specification.

Approval workflow

Route assumptions and decisions to owners before the specification becomes executable process.

Evidence pack output

Keep lineage, profiling results, mapping choices, and approvals attached to the spec for later review.