Businesses of all sizes and industries have been impacted by the COVID-19 pandemic. One of the main factors we’ve seen among a large proportion of our customers is how the business was able to cope with working remotely. For some industries, remote working was perceived as an unviable option. However, having been forced into remote working as a result of the pandemic, that traditional mindset may just disappear. The biggest issue with remote working is configuring access to the necessary systems – Qlik being one of them.
To help in this area, it’s worth highlighting that Qlik’s SaaS offering can be utilised independently or as part of a hybrid deployment, which can be useful if you’re struggling with onboarding workers onto your VPN. In hybrid deployments, you can use distribution policies to push updated Qlik apps to the cloud, stripping away the need to open up your firewall for direct connections to your underlying source systems.
The ability to adapt has never been more critical. While lockdown was brought in as a temporary measure, the buying behaviours may continue for a long time after. Will they ever go back fully to what they were? This is something that retail companies need to start analysing more closely and have something in place for when lockdown policies ease off. Something I’d be keen to analyse past, present and on-going are things like time spent shopping in physical premises, number of click and collect orders, number of delivery orders, etc.
As a data company, we’ve always closely monitored ourselves and our performance. To ensure our team stay motivated and know their contribution to the wider company, we also send out weekly team and individual utilisation rates. Ensuring the team is fully informed on a regular basis really helps maintain an element of normality and reassurance during these unprecedented times.
Having adopted full-time remote working here at Ometis recently, we are now able to deliver Qlik training courses remotely. If you’d like to find out more, get in touch with the Ometis team today.
Topic: Data analytics