In this post, we’d like to share some of the most interesting terms that are used in today’s science and IT world. We think you will benefit from getting familiar with these modern tech-age expressions.
Tag: analytics
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Google Trends Review
Google Trends, one of several free Google services for analytics, is one that renders search keyword interest trends over time. It is applicable for market research, analytics, and web surfer behavior tracking.
In the previous post we reviewed the Google search terms analytic tool, called Google Trends. Here we present an example of how to apply this free tool for acquiring the trends and comparing the various terms.
Since I’ve now completed the series on website analytics and data analysis, I want to sum up these posts, most of them pertaining to analytics performed with Google spread computing.
In Business Intelligence (and in data mining in general) a regular need is to be able to find the items that frequently go together in a consumer basket.
Both my partner and I were asking: what factors influence website traffic? How does one find any correlations in business intelligence related to organic searches? This post was born out of my attempt to join together both traffic data from the business blog (data source being Google Analytics) and real organic queries done in Google, in order to get some insight into which items my traffic correlates with, in specific how these items ( i.e. those which people are searching for) might have influenced website traffic.
This short essay is about data mining methods applied in web traffic analysis and other business intelligence. It also provides a modern look at data mining in light of the Big Data era.
This short essay is about data mining methods applied in web traffic analysis and other business intelligence. It also provides a modern look at data mining in light of the Big Data era.
For a site owner, business blogger or e-commerce entity, there are always some variables of interest concerning web traffic and statistics. How would you predict future values of variables of interest? Variables of interest might include the number of visitors to a target website, the time each visitor spends on the site, and whether or not the visitor reaches the site’s goals. One needs to mention that these web traffic and site performance analyses are not imposed with stringent time constraints. Data mining techniques seek to identify relationships between the variable of interest and the variables in a data sample. There are at least 3 analysis models for data mining that we consider here.
Analytics. Google. Social networks. Marketing campaign. Business Intelligence. It takes strong nerves to deal with all this in the vibrant, growing web business. The first thing necessary is to be real-time aware of what happens within an enterprise. Here I have chosen as notable some of the most usable tools for helping to monitor, visualize and compare analytics’ data.