Customer Case

Decision-layer for Granular Throughput Intelligence

Automating Complex Financials and Content Analytics
Digital Assets Production & Orchestration in Luxury Retail

Situation

A long-standing provider of digital content services to leading luxury and retail brands operates six legally distinct entities, each running its own ERP and drawing revenue from product sales, media services, and subscriptions. Internally, the organisation must consolidate these disparate ledgers and steer performance using “throughput,” the key metric promoted by the Theory of Constraints. Externally, its Digital Content Software suite powers clients’ end-to-end production workflows, yet users still lack realiable analytics, predictive maintenance, and embedded financial insight.

Key challenges in the existing process

Financial data sits in multiple ERPs, hybrid SQL stores, and flat files, so rapid consolidation is nearly impossible. Metadata and accounting logic differ across entities, making group-wide reporting laborious. Throughput calculations, previously held solely on spreadsheets, is now calculated on a monthly based at workjob level (which represent the lowest granularity possible on a financial standpoint). Within the Digital Content Software suite, operations stakeholders cannot view unified KPIs, technical leads have no early-warning system for maintenance, and finance perspectives are absent—all while strict role-based security remains essential.

Solution & Benefits

Natzka collects data from every ERP and external file, standardises the structures, and applies shared business rules to produce a single, governed data set. Algorithms based on the Theory of Constraints calculate throughput and crossing-time metrics each day at transaction level. Finance staff can move from a consolidated P&L to individual entries without relying on spreadsheets, and access controls restrict data to authorised users. The same decision layer is embedded in the Digital Content Software suite, where it delivers three functions: usage monitoring for early maintenance signals, an operational KPI set spanning all modules, and basic financial views linked to content-factory workflows. The entire organisation now closes books more quickly and provides up-to-date operational and financial information to internal teams and software clients.