When it comes to putting together an amazing marketing dashboard, your success depends on a number of key factors. You want to choose the right metrics to watch, and you want a dashboard that’s well designed to deliver the information you need, in the best format. Your dashboard should contain all the key information you … Read more
Have we lost the true meaning and purpose of Business Intelligence Companies in a variety of industries are still data-rich but information-poor and this ratio keeps increasing every day. The rate of data generation is so high that organizations simply cannot keep up with generating insights out of it. These enterprises lack the kind of … Read more
Introducing brand new Sankey Visualizaton With the latest release of InfoCaptor, you can build Sankey Diagrams by just drag and drop operations. Sankey Visuals are one of the most powerful visualizations. It illustrates flows of any kind, where the width of each flow is based on its quantity. It gives complete bird’s eye view of … Read more
Olive Garden is one of the favorite destination for Italian food and today we got hold of the entire Olive Garden menu along with their nutrition data. A typical meal at Olive Garden starts with a drink, appetizers [free bread sticks], main dish and finally the desert. So going in the same sequence let see … Read more
If number of searches were an indicator for gauging the popularity of a drink between Tea, Coffee, Beer and Wine then who wins the contest? Let us analyze who wins the popularity contest by comparing the number of searches for each of the terms. Data collection method: Each of the keywords Tea, Coffee, Beer and … Read more
In this article we will analyze the 10 year growth history of Reddit using simple visualizations. The data for these visualizations is available from this source [thanks to Justin @ Reddit] Let us compare the traffic stats The above data is available as monthly aggregates since 2008. So, the next question is how much of … Read more
In this analysis we gather data from CDC for Marriage and Divorce rates across all the states of USA for past several years. As usual the bulk of the time is consumed in the data gathering, munging and preparation step for the analysis. All the data for each year is manually copy/pasted from the website … Read more
Before we proceed, checkout the news InfoCaptor recently got certified with Cloudera Impala and Hive In this article we will analyze the NFL play by play dataset. The data consists of each play for all games from 2002 thourgh 2013. It is roughly around 600k rows and hardly qualifies as big data. The main point … Read more
InfoCaptor now officially works and certified with Cloudera’s Hadoop distribution and specifically with Hive and Impala. Earlier InfoCaptor supported only JDBC protocol but now along with CDH integration, it has introduced ODBC protocol to take advantage of efficient drivers from Cloudera (Cloudera – Simba drivers) and provide more platform connectivity options. The integration has been … Read more
This is a data analysis and visualization for players of American football who died while still on a team roster or a free agent. Included are players in the NFL, arena football, and college who have died as a result of team bus and plane accidents such as the plane crashes by Marshall and Wichita … Read more