Super Graphics
The BIS² Super Graphics data visualization enables users to understand and take action on their data in a new way.
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White Paper: The Business Value of Super Graphics™
Super Graphics
The field of Business Intelligence referred to as Data Visualization allows a large variety of related data to be displayed in a visual format.
BIS²’s advanced data visualizations - called Super Graphics - change the dynamic of data analysis, facilitate the discovery of patterns and meaningful relationships, and turn mountains of data into actionable information. BIS²’s Super Graphics are redefining the field of data visualization and form the true foundation of visually-centric analytics.
BIS²'s Super Graphics:
- Represent the next generation of advanced data visualizations for strategic, operational and analytical users of data.
- Enable users to capture their business in one single picture and then look at relevant detail where appropriate.
- Allow users to comprehend a large amount of data points simultaneously in a natural and easy-to-use way and to understand patterns, identify meaningful relationships and gain new insights which might not otherwise be obvious.
- Produce customer, product, channel, operational or company-specific advanced visualizations which illuminate performance and opportunities through the use of industry-specific Business Performance Drivers (BPD’s).
- Provide a valuable way to communicate insights, problems and opportunities in a non-technical way to various audiences.
- Rapidly decrease the turn-around time required between inquiry, analysis, decision and results.
BIS²'s Super Graphics Include:
Each of the above current Super Graphics contain multiple visualization types.
Temporal Super Graphics
The bottom layer or structure of the Temporal Super Graphic is a spiral-based calendar. Layered on top of this spiral calendar are indicators of other pieces of information to help understand the objectives associated with the underlying Business Performance Driver.
The information displayed applies to the moments in time covered. A Temporal may be hours in a day, days in a month or weeks in a year. The essence of a Temporal Super Graphic is to reveal cyclical patterns which may be inherent in the data, or changes through time when using an animation, or changes in relative magnitudes as a result of the application of one or more restrictions (i.e. filters on the data).
For example, a “red” hot spot or area over a date may indicate a large number of buyers made purchases on that day. Next to the “red” hot spot or area may be a “blue” cooler area indicating that fewer buyers bought during on the same day last year.
Placement, size, color, and shape are all used to illuminate the data, allowing for n-dimensions of high density data to be displayed in relationship to each other. Related data are organized into layers or overlays. These high density visualizations allow layers of related information to be displayed together, and patterns to quickly emerge. Legends, data tables, statistics and charts provide further insight into the visualization and the layered information.
Utilize the Temporal Super Graphic to look for patterns, find meaningful relationships, form hypotheses for additional analysis and to communicate new findings to others.
Spatial Super Graphic
The bottom layer of a Spatial Super Graphic is a physical landscape. This may be a geographical map like the Google Maps™ images above. On top of the landscape are additional layers of information to help understand the objectives associated with the underlying Business Performance Driver.
The information displayed applies to the physical location they cover. In the above examples, heatmaps or polygons indicate key points of interest (including highs and lows) relevant to the Business Performance Driver. The points of interest may be a household, a store, a ZIPCode, State or other items of interest.
Placement, size, color, and shape are all used to illuminate the data, allowing for n-dimensions of high density data to be displayed in relationship to each other. Related data are organized into layers or overlays. These high density visualizations allow layers of related information to be displayed together, and patterns to quickly emerge. Legends, data tables, statistics and charts provide further insight into the visualization and the layered information.
Utilize the Spatial Super Graphic to look for patterns, find meaningful relationships, form hypotheses for additional analysis and to communicate new findings to others.
Pivotal Super Graphics
The bottom layer of a Pivotal Super Graphic can be a timeline or a variable of interest. Layered on top of the timeline or variable of interest are additional layers of information to help understand the objectives associated with the underlying Business Performance Driver.
In the above examples, a heatmap indicates key points of interest (including highs and lows) relevant to the Business Performance Driver.
Placement, size, color, and shape are all used to illuminate the data, allowing for n-dimensions of high density data to be displayed in relationship to each other. Related data are organized into layers or overlays. These high density visualizations allow layers of related information to be displayed together, and patterns to quickly emerge. Legends, data tables, statistics and charts provide further insight into the visualization and the layered information.
Utilize the Pivotal Super Graphic to look for patterns, find meaningful relationships, form hypotheses for additional analysis and to communicate new findings to others.
Inspatial Super Graphics
The bottom layer of an Inspatial Super Graphic is a floor plan. On top of the floor plan are additional layers of information to help understand the objectives associated with the underlying Business Performance Driver.
In the example on the left, a heatmap indicates key points of interest (including highs and lows) relevant to the Business Performance Driver.
Placement, size, color, and shape are all used to illuminate the data, allowing for n-dimensions of high density data to be displayed in relationship to each other. Related data are organized into layers or overlays. These high density visualizations allow layers of related information to be displayed together, and patterns to quickly emerge. Legends, data tables, statistics and charts provide further insight into the visualization and the layered information.
Utilize the Inspatial Super Graphic to look for patterns, find meaningful relationships, form hypotheses for additional analysis and to communicate new findings to others.
Quartal Super Graphics
The bottom layer of a Quartal Super Graphic is a quadrant box diagram. On top of the quadrant box diagram are layers of information to help understand the objectives associated with the underlying Business Performance Driver.
In the above example, an organization's customers can be mapped into a single picture overlaid with a heatmap indicating key points of interest (for example ‘high-value’ and ‘low-value’ customers) relevant to the Business Performance Driver. With the Quartal, almost any variable can be shown on the horizontal and vertical dimensions. For example, Customer visit frequency (vertical axis), recency of last visit (horizontal axis) and monetary value (the heatmap variable).
Placement, size, color, and shape are all used to illuminate the data, allowing for n-dimensions of high density data to be displayed in relationship to each other. Related data are organized into layers or overlays. These high density visualizations allow layers of related information to be displayed together, and patterns to quickly emerge. Legends, data tables, statistics and charts provide further insight into the visualization and the layered information.
Utilize the Quartal Super Graphic to look for patterns, find meaningful relationships, form hypotheses for additional analysis and to communicate new findings to others.
Classical Super Graphics
The Classical Super Graphics represent more traditional visualizations such as charts and graphs.
The OLAP charts can be manipulated to show various combinations of dimensions and business performance drivers. In addition, the OLAP charts can be used interactively with the Data Grid and any main Super Graphic within vizExplorer. Specifically, areas on interest on a main Super Graphic (e.g. a hot spot or a cold spot), can be explored further with these traditional charts and graphs.
The information displayed on a bubble chart can be compared in terms of size and color as well as relative positioning.
Placement, size, color, and shape are all used to illuminate the data, allowing for n-dimensions of high density data to be displayed in relationship to each other. Legends, data tables, statistics and charts provide further insight into the visualization and the layered information.
Utilize the Classical Super Graphic for deeper exploration, analysis and insight on particular areas of interest illuminated by the main Super Graphics.
Compositional Super Graphics
The Compositional Super Graphic shows the composition of items being presented. It is particularly useful to enable users to understand and analyze products, services or other items which are made up from various components or other units. The information is displayed in a very easy-to-use and interactive way.
Typical Compositional Super Graphic example uses:
Market Basket Analysis - The Compositional Super Graphic shows the combination of products and services which make up a market basket for clearer insights as to who is buying which baskets, when, where and how.
Restaurant menu planning - The Compositional Super Graphic is used to analyze current and projected costs, revenues and profits associated with restaurant menu plans by analyzing the ingredients which go into each menu item.
Financial Statement Analysis - The Compositional Super Graphic is used to analyze the revenues and costs associated with business units, divisions or product groups. In essence, the Composition Super Graphic brings to life a set of financial statements.
Placement, size, color, and shape are all used to illuminate the data, allowing for n-dimensions of high density data to be displayed in relationship to each other. Related data are organized into layers or overlays. These high density visualizations allow layers of related information to be displayed together, and patterns to quickly emerge. Legends, data tables, statistics and charts provide further insight into the visualization and the layered information.
Utilize the Compositional Super Graphic to look for patterns, find meaningful relationships, form hypotheses for additional analysis and to communicate new findings to others.