
View your data in CLEAR Visualisation
The business value of data visualization, is clear to quickly see and comprehend the changes and hidden patterns, identify opportunities and spot problems that are buried in mounds of data and other visualisation.
Data presentation can be beautiful, elegant and descriptive. There are a variety of conventional ways to visualise data – tables, histograms, pie charts and bar graphs are in use every day, in many projects and on every possible occasion. However, to convey a message effectively, sometimes you need more than just a simple pie chart of your results. In fact, there are more efficient, profound, creative and absolutely fascinating ways to visualise data.
Let's take a look at the most innovative modern approaches to data visualization:
TreeMap
A Treemap is a colorful mosaic of rectangular fields based on your data. The size of a field reflects its importance. The depth of color conveys urgency and good news is shown in shades of blue and bad news is shown in shades of red. Treemaps use our innate ability to comprehend size, color and groupings very quickly – much faster than we can read and interpret reports, tables or diagrams. They enable users to easily filter out less interesting data, focus on crucial outliers, and act quickly based on patterns and trends they are able to visualize in what otherwise would be unfathomable mounds of data.
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HeatMap
A Heatmap is good at representing large numbers of data points in ways that would be unwieldy and hard to interpret using traditional tables or charts. In a Heatmap, the color of the square represents a quantitative value relative to the other boxes in the Heatmap, while the location can represent the sorting of another quantitative or categorical value. This allows the analyst to see all of the data items simultaneously. The user can also hover over any item to bring up more detailed information on demand.
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BulletGraph
Bullet Graphs were developed by information visualization expert Stephen Few. He designed them to replace speedometers and gauges in executive BI Dashboards. Bullet Graphs display information about a single quantitative measure like year-to-date revenue along with complementary measures to enrich the meaning of the featured parameter. The linear design of the Bullet Graph gives it a very small footprint and makes them much easier to understand quickly than radial meters.
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BarSeries
Barseries can visualize several parallel time series simultaneously and makes it easy to see trends in complex financial data. Barseries can display historical data as well as information that are constantly being updated in real time. Barseries is an excellent companion to our popular Treemap and Heatmap visualizations since you can switch easily between the visualizations to see different aspects of the same dataset.
Stack Graph
Stack Graphs are great to use when you have up to ten or eleven time series datasets to look at. They are a excellent information visualization to use in conjunction with our Treemap, Heatmap, Heat Matrix, Barseries, or Horizon Graph tools since they provide a different perspective on the same set of data,
Percentage Area Graph
The Percentage Area Graph is a special type of Stack Graph that allows you to see how the components contribute to the total (100%) in percentage terms. It is an excellent choice for visualizing time series data when you are interested in seeing the relative contributions for each dataset in the series, regardless of the absolute total. This helps you see trends in how each component in the data has changed compared to the others.
Horizon Graph
Horizon Graphs are a fantastic way to See huge amounts of information in a single screen, to overview a large number of time series in a limited rectangular space. Since this information visualization packs the information in a line graph in 1/6th the space through a smart pre-attentive color encoding, it allows for an overview of a large number of time series. Users can scan huge amounts of data points across all relevant time series and immediately identify areas of concern that require closer scrutiny.
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Panopticon supports visual monitoring and fast analysis of large datasets in financial services, telecommunications, engineering, consumer packaged goods, industrial manufacturing, and retail applications. The company’s Developer SDK allows programmers to embed Treemaps, Heatmaps and other effective business intelligence capabilities into their own enterprise applications. Panopticon EX is a fully productized white label solution supporting rapid deployment to desktops and the web. Clients include Thomson Reuters, JP Morgan Chase, Citi, Louis Dreyfus, and Fortis.



Data Visualization

