EMEA Office
Groenenborgerlaan 16
2610 Antwerpen
Belgium
Never miss a deadline again with advanced predictive capabilities. The AI engine assesses the likelihood of overdue events by analyzing data from similar past events.
Discover what's late and why. Visualize all your late items over time (late sign-offs, actions, training…), and discover which processes need more attention.
Extract the data and insights you need in a few clicks. Visualize and track your progress, and spot patterns to improve efficiency and performance.
Address any issues related to your CAPAs, documents, trainings, events, audits, or change control, by getting tailored and detailed graphs for each quality process.
Measure your progress against others with industry benchmarks and find whether there’s room for improvement or you can aim higher.
All your KPI graphs, tables, and insights can be easily exported in CSV format, ensuring compatibility with external data analysis tools.
Fine-tune the information through data drill-down and filtering. See data on a quarterly, monthly, weekly, and daily basis, and analyze every detail through clickable graphs.
A typical KPI report in Scilife could be a bar chart that shows the number of documents published in a given period.
Making a KPI report in Scilife is simple and intuitive. You just have to choose which module, bar/line/pie chart, and date range to include in your report and you can already start making your own customizable reports.
All data in Scilife is encrypted at all times, both in transit (between your browser and the platform) and at rest (when data is stored).
Scilife runs in the Amazon AWS cloud, which is still considered the best cloud infrastructure provider according to Gartner’s magic quadrant, and complies according to a plethora of regulations. We encourage you to take a look at it here.
Each client receives their own separate database. Or better yet: each client receives 3 different environments (TEST, VAL and PROD) and for each environment, they get a separate database. In other words, data from different clients is never sitting in the same database.
The Scilife platform runs in a VPC (virtual private cloud), which effectively separates it from the rest of the Amazon AWS clients. The VPC is divided into a 3-tier system: application servers, database servers, and file storage are separated, which makes it easier to scale out automatically when demand increases and therefore ensures a speedy user experience.
Besides the standard automated backups of client data, we use many different Amazon AWS services to ensure data integrity, and application reliability and to have robust disaster recovery mechanisms in place.
Data security and data integrity are aspects that we take very seriously, as we are aware that your business depends on them. And ours too!
Yes, with the Groups functionality you can configure which users have access to which reports.
It depends on the system you are currently using and on the amount of KPI Reports you need to migrate. If you only have tens of reports then you could use the document import feature to import your reports one by one. But if you have more, we can help you to automate the process by developing an import script. Depending on your data's complexity, we can provide a quote tailored to the development hours required for the script and save you loads of time.
Yes, there are 4 types of users in Scilife: administrators, managers, regular users, and read-only users. The first 3 user types can edit and participate in the approval workflow, the read-only user type can only read documents and mark them as Read&Understood.
EMEA Office
Groenenborgerlaan 16
2610 Antwerpen
Belgium
US Office
Scilife Inc.
228 E 45th St. RM 9E
New York, NY 10017
EMEA Office
Groenenborgerlaan 16
2610 Antwerpen
Belgium
US Office
Scilife Inc.
228 E 45th St. RM 9E
New York, NY 10017
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