Use Cases / Legacy Data / Case Study
CASE STUDY
Modernising Supply Chain Systems and Retiring Legacy Applications.
How a supply chain organisation used legacy data assessment to support business transformation, system modernisation and application retirement.
Industry
Supply Chain & Logistics
Use Case
Legacy Data & System Modernisation
The challenge.
A supply chain organisation was undertaking a business transformation programme to modernise its technology estate and retire ageing applications.
The challenge was not simply to switch off old systems. The organisation first needed to understand what information they contained, what should be retained and what could be migrated, archived or securely disposed of - without carrying unnecessary or sensitive records into its modernised environment.
The DataBelt solution.
DataBelt supports the discovery, classification and assessment of information held across legacy systems, using a wide range of interfaces including web services, webhooks, exports and REST APIs.
Its capabilities extend even to historical technologies such as microfiche, enabling organisations to discover and understand information stored in formats that have long since fallen out of everyday use. Many organisations still hold substantial volumes of historical records in these formats, often with limited visibility of exactly what information they contain.
DataBelt can identify redundant, obsolete and trivial (ROT) information, including duplicates and records beyond applicable retention periods. It can also identify personally identifiable information (PII) and other sensitive content for review and, where appropriate, redaction before archiving.
This provides an informed basis for decisions about which records to retain, migrate, archive or securely dispose of. Discovery is read-only; any approved movement, deletion or redaction is handled through the appropriate controlled process.
The outcome.
By establishing what data exists and what still has value, the organisation can plan legacy system retirement with greater confidence, retaining important records while reducing unnecessary data and potential exposure of sensitive information.
The result is a clearer path towards modernised systems and more controlled information management. Specific measured customer outcomes have not been provided, so none are claimed here.
