BIF Analytics

BIF Analytics Interactive Dashboard

Have a Google Analytics account? Try out BIF Analytics here.

BIF Analytics was designed to be easy to use. Slick interfaces that require lots of manipulation do not help you make business decisions. BIF Analytics, based on BIF’s years of experience in business intelligence, keeps it simple. Accordingly the user interface tries to give you the data you want with every click of the mouse. In fact, the tool is built around the idea that if you clicked you want data… not the opportunity to click again. The sections that follow will help you understand the provisions of the user interface and what you can do to get the most out of BIF Analytics.

[toggle title_open=”Filtering” title_closed=”Filtering” hide=”yes” border=”yes” style=”default” excerpt_length=”0″ read_more_text=”Read More” read_less_text=”Read Less” include_excerpt_html=”no”]BIF Analytics was designed to be easy to use. Slick interfaces that require lots of manipulation do not help you make business decisions. BIF Analytics, based on BIF’s years of experience in business intelligence, keeps it simple. Accordingly the user interface tries to give you the data you want with every click of the mouse. In fact, the tool is built around the idea that if you clicked you want data… not the opportunity to click again. The sections that follow will help you understand the provisions of the user interface and what you can do to get the most out of BIF Analytics.[/toggle]

[toggle title_open=”Historical Summaries” title_closed=”Historical Summaries” hide=”yes” border=”yes” style=”default” excerpt_length=”0″ read_more_text=”Read More” read_less_text=”Read Less” include_excerpt_html=”no”]With BIF Analytics you get the data you want by paring it down. The process of eliminating unwanted data in order to get what you want is called filtering. The current version allows you to pare down the data by site and by date range. Simply selecting one or more sites causes the dashboard to recalculate. The charts, tables, maps, and dashboards will reconfigure themselves to display information for the web sites that you have selected. Similarly, the entire dashboard will recalculate if you submit a new date range. This can be done by selecting dates from the calendar shown in the filter and then submitting the date range using the button above the calendar. That is it. Try it out.[/toggle]

[toggle title_open=”Summary Breakdown” title_closed=”Summary Breakdown” hide=”yes” border=”yes” style=”default” excerpt_length=”0″ read_more_text=”Read More” read_less_text=”Read Less” include_excerpt_html=”no”]The upper right quadrant of your dashboard provides breakdowns for the summaries shown in the upper left quadrant. Selecting a point in the historical summaries (upper left quadrant) will cause BIF Analytics to calculate breakdowns for the selected aggregate. If you selected a page view summary (450 page views) for 12 January 2012 the upper right hand quadrant would automatically unpack that number into its constituents by

  • browser – this pareto chart will present the same summary information you selected for 12 January 2012 with a view on how many pageviews can be attributed to Internet Explorer, Chrome, Safari, Firefox, etc.
  • operating system – this pareto chart will present the same summary information you selected for 12 January 2012 with a view on how many pageviews can be attributed to Windows, Mac OS, Linux, Android, etc.
  • country – this visualization is a map with countries colored according to the number of page views that came from the United States, France, Germany, China, Nigeria, etc.
  • region – this visualization is centered around the United States. In a fashion similar to the country tab, this tab shows a map of the United States with each province or state colored according to the number of page views that came from that state for the selected date.
  • city – this is a simple table of the page views broken out by city.
  • source – this is a pareto showing how various search engines and web sites contributed to the page views.

Use the summary breakdowns to get a better understanding of who is visiting your site.[/toggle]

[toggle title_open=”Glossary” title_closed=”Glossary” hide=”yes” border=”yes” style=”default” excerpt_length=”0″ read_more_text=”Read More” read_less_text=”Read Less” include_excerpt_html=”no”]average time on site
bounce rate – It represents the percentage of visitors who enter the site and “bounce” (leave the site) rather than continue viewing other pages within the same site. A bounce occurs when a web site visitor only views a single page on a website, that is, the visitor leaves a site without visiting any other pages before a specified session-timeout occurs. There is no industry standard minimum or maximum time by which a visitor must leave in order for a bounce to occur. Rather, this is determined by the session timeout of the analytics tracking software.

where Rb is bounce rate, Tv is total number of visitors viewing one page only, and Te is total entries to a page. A visitor may bounce by:

Clicking on a link to a page on a different web site
Closing an open window or tab
Typing a new URL
Clicking the “Back” button to leave the site
Session timeout
A commonly used session timeout value is 30 minutes[2]. In this case, if a visitor views a page, doesn’t look at another page, and leaves his or her browser idle for longer than 30 minutes, they will register as a bounce. If the visitor continues to navigate after this delay, a new session will occur. The bounce rate for a single page is the number of visitors who enter the site at a page and leave within the specified timeout period without viewing another page, divided by the total number of visitors who entered the site at that page. In contrast, the bounce rate for a web site is the number of web site visitors who visit only a single page of a web site per session divided by the total number of web site visits.

page – Any file or content delivered by a web server that may include verbiage, images, or other types of media. This includes HTML pages (.html, .htm, .shtml), script-generated pages (.cgi, .asp, .cfm, etc.) and plain-text pages. It also includes sound files (.wav, .aiff, etc.), video files (.mov, etc.) and other non-document files. Image files (.jpeg, .gif, .png), javascript (.js) and style sheets (.css) are generally not considered to be pages.

pageview – A page view is metric having a value of one (1); it indicates that a page has been loaded by a browser. Google Analytics logs a page view each time its tracking code is executed. This can be an HTML or similar page with tracking code loaded by a browser.[/toggle]