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.
When are modernizations due, which contracts are about to expire? The solution developed by bdg and alstria for property planning in the real estate industry collects these and countless other data in one slick application.
Planning and controlling are easier, and media discontinuities are avoided. All in all: an absolute win.
Real estate represents significant assets. A precise valuation of such properties is essential – for financial reporting in accordance with international accounting standards such as IFRS, for investor communication or for strategic management decisions. A particularly widespread and recognised method is the Discounted Cash Flow method, or DCF for short. But how exactly does this method work – and why is it considered to be so particularly meaningful?
bdg and alstria have developed a tool for property valuation using the discounted cash flow (DCF) method to enable alstria to valuate its property portfolios more efficiently, quickly and cost-effectively – the volumes of data were simply no longer manageable in Excel and the processes were extremely time-consuming.
