Case Study: GIP-MDS achieves faster incident detection and unified data visibility with Splunk

GIP-MDS slashes incident detection time with Splunk and processes 28M DSN reports

GIP-MDS, a collaboration between public and private sectors created to digitize social reports in France, faced a major challenge in monitoring and delivering huge amounts of data across its distributed systems. Without operational visibility, the group was reactive when responding to anomalies, forcing the team to painstakingly investigate each partner’s disparate system to find the cause of incidents. GIP-MDS needed Splunk to help federate stakeholders and find a unified solution to derive value from these large volumes of data.

Using the Splunk platform, GIP-MDS gained a unified data platform to ingest and process its large volumes of unstructured data. This provided proactive analytics and actionable data insights, moving the organization from a reactive to proactive IT environment. The solution slashed incident detection time and translated to more satisfied companies. Key results include processing 28 million DSN reports in 2019 and successfully digitizing reporting formalities by replacing 47 processes with a single digital document used by 100% of businesses in France.