ViewRich

Whether you are a Management Consulting firm, a Strategy Advisor, a Publisher or a Market Researcher – how you present your data makes a huge difference to the credibility of your findings and advice. An interactive 3 dimensional scene is worth 1000 pictures, and provides a deeper insight than ordinary charts and graphs.

Credibility

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 Rich content

ViewRich helps you in presenting your findings and support data as three dimensional, animated & interactive rich content.  You can just drag and drop your data files (excel files) into ViewRich. ViewRich identifies hidden relationships and patterns in your support data, so that your client sees a huge value in your presentation.

Examples

In this example, the user analyzed the KPIs by two dimensions simultaneously. The user was able to identify the external factors that impacted the KPIs by each dimension. This analysis helped the user in identifying the exceptions, so that opportunities for new revenue generation could be identified.
in this example, the user analyzed the KPI by state and month and identified different factors that impacted the KPI. Different world events and local events were displayed that impacted the KPIs.
While the leading BI vendors provide the ability to analyze the data by only one dimension, this analysis gives the ability to split the data by three dimensions simultaneously. In this example, the user analyzed the KPI by three dimensions and figured out what is common between all the best performers.
In this example, the user analyzed the KPI by two dimensions simultaneously, and identified some important patterns. The user realized that the revenues from all industries are seasonal, except for one industry. Also, different industries hit their peak at different times.
In this example, the user analyzed the KPI by two dimensions simultaneously and the fluctuations by a third dimension are animated. This animation has revealed some important insights.
In this example, the user analyzed the KPI by two dimensions simultaneously in one compartment, and split the KPIs by another dimension in the second compartment. Large volumes of data was displayed using a birds eye view. Then, different rich patches were selected to figure out why the KPI is high in those patches.
In this example, the user was able to find all the factors that impact the KPI and the degree of impact. For each factor, supporting data could be displayed.
This analysis helps in identifying Cannibals and Uplifters by one dimension with respect to another dimension. In this example, the user was able to do the friend products with respect to industry.