Advanced Information Visualizations +
Business Intelligence Capabilities

Business Intelligence Tools Based on Academically Validated Data Visualizations Combined With Panopticon's Unique StreamCube™ OLAP Data Model

Our Information Visualization tools are a low risk, cost-effective way to enable your people to make better quality decisions in less time. Our visualizations can handle large, complex datasets that may include real-time streaming information feeds. Applications for our technology include financial services, telecommunications, insurance, project management, retail, manufactruing, security and surveillance, and many other industries.

Save Time and Make Better Decisions with
Panopticon's Advanced Information Visualization Software

The human psychovisual system is very good at taking in information such as visual patterns, size and color variation. Panopticon makes a variety of Information Visualization tools, including Treemaps, Horizon Graphs, Stack Graphs, and Barseries, and these tools are available in a range of products — from our Windows desktop application to highly scalable enterprise solutions. In addition, the company offers a comprehensive Software Developer's Kit (SDK) that allows customers and other software companies to embed Panopticon visualization tools into other software applications.

Take a quick glance at the picture to the right. How quickly can you pick out the red dot in the image? It happens so fast that you don't even have to think about it.

A picture really does say more than a thousand words.

Traditional Spreadsheets and Reports Cannot Keep Up
With Real-Time Businesses

The amount of information that organizations are required to deal with continues to grow rapidly. More powerful computers, cheaper storage media and faster network connections conspire to make more data available to users, and those users are expected to make good use of this information. While the size of a typical transactional database has gone from 100 Gigabytes in 1999 to several Terabytes (1,000 Gigabytes) in 2007, graphic user interfaces and analysis tools have largely remained unchanged.

Spreadsheets offer detail but no overview or general understanding. Static diagrams offer simplified images without detail. There is no intuitive connection between the two.

Spreadsheets like Microsoft Excel® in combination with classic, static diagrams and graphs like pie charts and bar graphs are still the dominant tools for managing and analyzing growing amounts of data. However, it is becoming increasingly difficult to locate relevant resources, to understand emerging trends, and to find hidden patterns in large amounts of data.

Traditional techniques like graphs and charts are well understood methods for displaying static information. However, these techniques are generally unsuitable for handling dynamic information; that is, data that is constantly changing and being updated from several different sources. Static visualizations often fail to handle extremely large quantities of data or are weak when the extents, bounds and structure of a data set change.

Visualize Real-Time Data in a Real-Time Business Environment

Dynamic data poses substantial problems for technology design, which probably explains the relative lack of successful applications until now. A well known shortcoming of static graphs and diagrams is the inevitable compromise between overview and detail. In an image showing the general picture with aggregate values, there is no access to details. In a diagram showing detailed information, the big picture is hidden. These problems of working with data can be summarized as follows:

• The “Forest and Trees” problem – How to see an overall order but also recognize local detail and diversity at the same time.
• The “Apples and Pears” problem – How to make comparisons between complex, yet structurally similar, entities.

With data pulled into a spreadsheet, it can easily be re-ordered, sorted and searched. However, identifying trends or emergencies is still a difficult task. It requires a conscious search process where letters and numbers must be digested and put into perspective through cognitive processes that take valuable time from trained people.

Increase Profitability with Better, More Insightful Decisions

Similarly, creating bar charts, pie charts or other classic graphs can serve well for presenting information, but are practically useless when exploring large amounts of new, unknown data. Traditional diagrams are merely static drawings that cannot show relationships or structures in understandable ways.

Many organizations are stuck with user interfaces that make it very difficult to work effectively and turn data into information.

You must be able to see multi-leveled hierarchies, interconnections and details on individual objects in order to solve problems, understand complex relationships or identify areas of concern. This forces users to revert to data tables and spreadsheets when they really need to find out about something – at the expense of overview.

Humans are not very good at consolidating and comparing thousands and thousands of data cells in their heads. A vast majority of companies across all industries have no tools in use that would allow them to dynamically explore, monitor, analyze and search their data. Even large corporations with huge data warehouses are often limited to static reports.