Reduce costs with well-documented, tested software
A qualified developer can embed useful visualizations in an existing application within a week or two; a good team can complete even the most complex integration project within a month or so. Some other toolkits may require extensive training before your team can start development. Our partners report that their people are up and running within a day or two and can start delivering embedded visualizations very quickly. Developing your own visualizations using open source tools can be extremely time-consuming; our documented examples and comprehensive SDK make it easy for a qualified programmer to come up to speed right away.
Extend the life of existing applications
The Panopticon SDK allows you to completely customize the look and feel of our interactive visualizations, including Treemaps, Barseries, Stack Graphs, and Horizon Graphs, so that the visualizations match the look and feel of the rest of your application. This allows you to refresh the look and feel of legacy applications and provide your users with a friendly, intuitive interface. You can delay major upgrades or re-writes and get more years of useful service from your legacy applications.
The Panopticon development team uses the same SDK that we make available to our OEM customers to build our Windows desktop product and our web-deployed enterprise software.
Reduce costs with faster, better-informed business decisions
The biggest expense in business — especially in businesses like telecoms or financial services where large amounts of money are involved in everyday transactions — is to make a poorly informed choice based on inadequate information.
Spreadsheets are useful but limited
Spreadsheet tools like Microsoft Excel are great, but they are also very limited. People can pull data into a spreadsheet and easily re-order, sort and search it. However, identifying trends or emergencies in spreadsheets is a difficult task that requires a conscious search process.
Traditional graphics are good for presentation – not discovery
Bar charts, pie charts or other classic graphs can help present findings, 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. You must be able to see multileveled 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 by thousands of data cells in their heads.
Recognize hidden patterns, trends and items requiring urgent attention instantly
Panopticon's Information Visualization implementations support vastly reduced visual search times, better understanding and overview of large and complex data sets, discovery of unnoticed trends, patterns and relations, and more effective communication of the information held within the data to colleagues and customers.
Our interactive, dynamic information visualizations help people investigate data, view it from several different perspectives, break it down along different dimensions and get a grip of highly multidimensional data sets.
Convert useless data into actionable information
There are a lot of differences between data and information. What is “3.25”? It is data, a number. But what does it mean? A number alone is an example of data without context or structure. It does not tell us anything that we can act on. It gives us no information. This basic example serves to point out that data and information are not the same thing.
The interrelations between data, structure and time have been summarized by infology professor Börje Langefors at the Royal Institute of Technology in Stockholm. He calls this the "Information Equation". Professor Langefors’ equation says that information transfer is a function of the data available, the structure around the data and the time allowed for interpretation. With any given dataset, presented with any given structure – typically column labels, descriptive headings, and so on – the only variable left is time, and time is always valuable and always in short supply.
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