ACCELERATING PERFORMANCE FOR A BRITISH FASHION RETAILER
bdg enhanced the performance of a British fashion retailer’s system in Board (version 10) by optimising RAM usage and stabilising their server. The project, completed in just four days, significantly reduced system crashes and downtime, resulting in a more efficient and reliable operational environment.
The idling RAM level dropped from 780 GB to 460 GB, a total reduction of 41%. Our server has become much more stable, significantly reducing the risk of crashes.
High RAM usage (RAM is essentially your computers short term memory, storing
data for current tasks) was causing frequent crashes for the fashion retailer, with their C2 Server.
Despite not wanting to upgrade their system, they needed a solution to speed up processes and eliminate the server crashes that were causing data loss and business downtime.
And find out all about the highlights:
Enhanced Board system stability and reliability
Project completed in just four days
Optimised infrastructure for future growth and further performance enhancement.
Can BI/CPM applications reflect the highly complex experiences of long-term employees? That works! With Siemens Energy and bdg. Where are the limits? We won’t know until we reach them. In this project with Siemens Energy, bdg uses the full functionality of Jedox and once again pushes the boundaries of what is possible.
British multi-channel men’s clothing retailer, Charles Tyrwhitt had been using Board software for several years, but their existing solution had become outdated, complex, and slow due to unused elements. The goal for the project was to simplify the existing Board solution and align with updated processes, enhance speed, flexibility, and capabilities by utilising Board’s retail accelerators, ie pre-configured solutions.
STRATO and bdg jointly developed the concept for the implementation of a BI/CPM solution for controlling. Board was chosen as the software; the intuitive and user-friendly design of the application was particularly decisive, enabling it to be used as a self-service BI.
