Umwandlung der Datenstruktur eines FMCGs, um verbessertes Lieferantenmanagement und Geschäftswachstum zu erzielen

Download Form

In dieser Fallstudie stellen wir Ihnen ein multinationales Konsumgüterunternehmen vor, das global tätig ist und über 400 beliebte marken besitzt. Aufgrund der Größe seines Lieferantennetzwerks erzeugte das Unternehmen täglich erhebliche Mengen an Rohdaten und hatte Schwierigkeiten, die Leistungskennzahlen sowie die Leistung der Lieferanten nachzuverfolgen. Um diese Herausforderungen anzugehen, erstellte Visionet eine moderne Datenplattform zur Aufbewahrung und Bearbeitung großer Datenmengen. Damit konnten auch Geschäftsnutzer die Daten problemlos analysieren und entschlüsseln, ohne von einem internen IT-Team abhängig zu sein.

Challenge

The client lacked a centralized domain to store data coming in from disparate systems. The absence of a single source of truth made data extraction and consolidation complex. In addition, extracting useful insights from data required manual efforts which were time consuming and made it challenging for the client to focus on strategic directions. The client required a robust data platform that could unify data originating from multiple sources and ensure its timely availability to business users. 

Solution

Visionet implemented a modern data platform that consolidated and unified data from multiple sources, creating a single repository for centralized data storage and easy access. Self-service reporting capabilities were also provided which allowed business users to generate customized reports and metrics, helping them make more strategic decisions and monitor organizational performance. Overall, a data-rich, data-driven culture was created for the client to support future growth and success. 

Impact

The modern data platform mitigated the challenges faced by the organization and enabled a data-rich and data-driven culture across all departments. It brought numerous benefits to our client, including a unified & holistic view of data, self-service reporting, improved data reliability & transparency, and enhanced decision-making capabilities. 

Download the full case study.

Insights Categories
Topics
Estimated Time
1 min read