Digital collaboration can help your team to respond to increasing demands


Finance teams are under pressure. Collaboration software gives them more time to focus on strategy.

According to Statistics South Africa, 237,000 workers in South Africa lost their jobs in the first quarter of 2019. The International Labour Organization reveals that 22 percent of workers in South Africa work more than 50 hours a week. Career Junction says 73 percent of South African workers regularly skip their lunch to keep ahead of their workload. And a Bloomberg Business survey indicates that, South Africa is the second most stressed country in the world.

In these tough times, CFOs are demanding more and more from their finance teams, and their teams are having a hard time meeting those demands. Their health and relationships suffer due to the heavy workload. The only way that they are going to be able to cope is by introducing automated systems that deliver efficiently and accurately.

Speaking at the Finance Indaba, Altron Karabina data and analytics lead Paul Morgan shared how Host Analytics could just be the answer businesses are looking for.

“Host Analytics is a collaboration hub where the IP of a business can be stored. There’s no need to log in to multiple systems with Host Analytics consolidation, so it also accelerates complex processes,” he said.

Host Analytics offers cloud-based enterprise performance management (EPM) software that automates and accelerates analytics, planning, reporting, consolidation and modelling processes. The software minimises the need for the use of spreadsheets and gives organisations more time to make faster and more strategic decisions.

  • Analytics helps users to easily spot trends and identify performance gaps,
  • Reporting minimises training and maximises productivity in a secure, Excel-like interface,
  • Planning deploys quickly and shortens learning curves,
  • Consolidation helps you enjoy a faster, more accurate close and consolidation process,
  • Modelling helps quickly run calculations and analyse large data sets.

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