Partner Product

Q4bis Analysis
Today's business decision makers are continually seeking new ways to improve their business productivity and performance. To this end, increasingly vast quantities of data must be digested and acted upon accordingly. Q4bis Analysis simplifies and accelerates the process by providing an intuitive user interface. This makes it the preferred tool of all business decision makers not just the technical few. Save time and money by removing the drain on IT resources and empowering the decision-makers directly. Online demonstrations are availalbe for you to understand how simple this tool is to use and within two minutes you will be able to navigate complex data easily. See what a difference it makes to the decision making process, and the effect it has on the efficiency and profitability of your business.

Q4bis DataServer
IT teams today face the challenge of combining data from multiple sources and platforms, and presenting it in a way that supports the business decision-making process. Data must be extracted from Enterprise Resource Planning (ERP) systems, Customer Relationship Management (CRM) applications, E-Commerce and in-house solutions. Using wizard technology Q4bis DataServer can rapidly extract data from any source and create a focused Microsoft SQL Server Data Warehouse/Repository with minimum effort, maximum effect.

Q4bis Budget
Q4bis Budget was first implemented into Josef Manner & Comp AG, Austria's largest confectionary company, in January 2002. Before Q4bis Budget came along a typical budgeting cycle would take up to two months. PST Software completed a training session in the morning with Manner, then proceeded to do an entire domestic budget in the afternoon (based on about 1,500 customers and 1000 products, aggregated by regions, customer type, sales rep, product hierarchies and season). This entire process took approximately two hours to complete. Q4bis Budget is now used by customers in the US, New Zealand and Europe and is becoming a popular tool for Scenario Budgeting and What If analysis.