Data Analytics
Felicitas uses data and analytics to empower you to make informed decisions and increase revenue. From traditional BI dashboards to AI-powered predictive analytics, we help you turn data into outcomes.
KNIME
KNIME is different from other tools — it not only enables data analysis but offers end-to-end data science. It allows you to create analytic models, deploy them, and share insights across your organization.
KNIME Analytics Platform is an open-source platform that lets users analyze and visualize data without coding. The drag-and-drop interface allows users to build workflow prototypes, monitor performance, and streamline in-data processing using the Apache Spark framework.
KNIME Hub brings the community together on one platform that allows users to keep private workspaces or share work across the organization. KNIME Business Hub adds operational efficiency and a refined user experience for organization-wide collaboration.
KNIME also supports modern AI and machine learning workflows — making it a strong choice for teams that want to move from BI to predictive and AI-powered analytics on the same platform.
Business Intelligence (BI)
Business intelligence (BI) embraces the strategies and technologies enterprises use for data analysis and management of business information — surfacing the right information to accelerate decision-making.
A well-designed visualization solution will let you look beyond the dashboard. Our team connects your business processes with the right tools to create powerful, information-rich experiences.
With our team of experts in Power BI and Tableau, you can focus on operational decision-making and strategic planning.
Beyond dashboards — prediction and natural-language insight
The next step beyond dashboards is prediction. We help healthcare organizations move from 'what happened' to 'what will happen next' — and what to do about it.
What we build
Readmission risk and length-of-stay forecasting
Population health and care-gap identification
Revenue cycle prediction (denial probability, days-to-pay)
No-show prediction for clinics
Natural-language query over your data warehouse — ask questions in plain English, get answers from your data
We build on:
We pick the stack based on what fits your existing systems — not what we'd prefer to sell.
Explore an analytics engagement
Tell us about your project — we'll respond within one business day.