Lystloc is a Location Intelligence and Analytics SaaS product company providing complete solutions on location based challenges to our customers. Lystloc started as an in-house product intended to track our on-field and office users attendance by location via mobile app rather than hardware punch cards.
It worked out very well for us saving a lot of time and money. It was then a natural progression to develop this as a SaaS product for other companies who go through similar day to day problems on locations. So, Lystloc is an one-stop shop for all your location based solutions.
We are the market leading SaaS solution in real-time location intelligence for your workforce or vehicles or API integrations.
Based on our record, Qlik seems to be more popular. It has been mentiond 1 time since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
All files was pulled into a program called : QLIK, qlik.com is the company and my company uses it for our reporting and our customer's reporting needs. Source: over 3 years ago
dayTRACK - dayTrack provide field sales employee tracking app or sales representative/rep location tracking and activity logging service using android app which is GPS enabled.
Tableau - Tableau can help anyone see and understand their data. Connect to almost any database, drag and drop to create visualizations, and share with a click.
Twib - Twib - Sales tracking app, sales monitoring, sales gps tracking android
Looker - Looker makes it easy for analysts to create and curate custom data experiences—so everyone in the business can explore the data that matters to them, in the context that makes it truly meaningful.
Travelize.in - Field Employee Monitoring App-Travelize is a Live employee monitoring and sales management application software for all types of the enterprise to manage the business and boost productivity.
Sisense - The BI & Dashboard Software to handle multiple, large data sets.