Use Data Discovery to Understand Correlations and Gain New Explorative Insights
Make informed decisions based on facts and quickly obtain new insights from data. Complement, filter and select your data as desired and take a deep dive into your data along various dimensions. Carry out ad-hoc analyses and identify visually critical factors and anomalies. Keep an eye on the overall situation and highlight correlations, exceptions or clusters, helping you obtain valuable insights and recommendations for action.
Data Discovery: Simply Discover More
Analyze your key figures along various dimensions. Take a deep dive into your data and better understand the situation. Browse through data views (Drill Through) by focusing on your analyses. Dynamically restrict data volumes in order to conduct deeper analyses of partial volumes. Create Pivot tables with just one click or switch between month and year views or between local and aerial views during the analysis. Identify and verify anomalies and differences.
Quickly Obtain Answers from Your Data
Filter all data according to your requirements and evaluate it in no time at all. Insert additional data via Self Service and correlate the different data records. Select data using spatial, subject- or time-related filters and present preliminary results in a visually appealing manner. Make informed decisions supported by data – without any programming or database skills.
Understand Interconnections On Your Dashboard
All your current data and key figures at a glance: Simply organize your data and views on the dashboard according to your needs. Combine and configure Cadenza's wide range of analysis and visualization options in order to provide data-driven answers quickly. Create interactive real-time visualizations and combine filters, data and visualizations in no time at all.
"Where" and "When" tell you "Why"
Combine your existing data with local and spatial data. Analyze correlations based on the spatial context and make decisions based on the big picture by looking at the location-based correlations – because "Where" and "When" will tell you "Why".