The BI data challenge
Data Visualization is already well understood by Business Intelligence (BI) professionals – all tools offer some level of data visualization functionality. But what about graph visualization? What impact could exploring connections have on BI?
Networks can be used to answer almost any question involving a connection; from finding fraud patterns to understanding customer churn. The insight we can gain from graph data is particularly rich, providing:
- Connections – data connections are made explicit, helping to show causality, hierarchies and influence.
- Context – understand data entities in isolation and in a connected environment.
- Complexity – a simpler method to express complex data.
Better business intelligence with network visualization
The purpose of business intelligence is to provide the information a company needs to make intelligent decisions. With network visualization you can combine isolated data silos for improved business intelligence data management.
Step 1: collate data from the whole enterprise
Data silos are major barriers, limiting reporting power and leading to bad decisions. Our graph visualization technologies can present data from multiple sources as a single visualization, generated in real time, or taken from historical information.
This completeness adds value, can reduce data processing time and, ultimately, saves money.
Step 2: manipulate the data
The next step is identifying and isolating the data you need. This is often a manual sifting process to find anomalies. With the analysis tools found in our toolkits, this process becomes faster and more intuitive.
Sophisticated data and node combining, and powerful filters allow users to drill down and find data that tells the real story. Layouts can visually isolate outliers and anomalies. Using the time bar component, users can also observe the evolution of data through time and instantly hone in on the most important time periods.
Making data manipulation visual and straightforward, our technologies ensure BI becomes more accessible to everyone.
Step 3: find your answers
Next your data needs to be understood and turned into insight that can drive activity.
Automatic layouts help untangle complex networks, which can be enhanced with social network analysis measures. These show your data in context and provide a 360-degree view.
Complicated and evolving situations can be untangled and contextualized, reducing response time and helping your organization take intelligent decisions.
Step 4: communicate your intelligence
Business intelligence needs to be accessible to your decision-makers. Our charts can be shared either as image files or as full interactive applications. This helps your colleagues make timely, intelligence-driven decisions more easily and ensures the business intelligence team enjoys a higher profile role.
Find out more
For more information, or for a demonstration of how our technologies could help you understand infrastructure, get in touch.
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