Clickstream analysis
Web Servers which handle traffic on an important site generate log files, daily, related to access and navigation paths. These log files contain a considerable mass of data, which is mostly superfluous or irrelevant in business terms, which are difficult to code and which are unsuitable, in their original form, to be treated analytically with a cognitive objective. On the other hand, these files hide the behaviour of the site "surfer", the interest points, the time spent, the "hesitations" and choices.
Abiding completely to privacy regulations, we believe it is possible to:
- intelligently extract and encode a mass of important data contained within the web log files,
- organise it according to a specific data model,
- analyse the data to obtain valuable information for the business.
In this context,
e-intelligence DOES NOT mean that we know that 28% of visitors to a site access the service between 6pm and 9pm on an average day.
e-intelligence DOES NOT mean that we know that 75% of the web users use Internet Explorer or that the pages are 'seen' x times a day.
e-intelligence means reading and understanding the clickstream from the perspective of the business. It means transforming the digital traces that the visitors leave on a site into strategic information, via the management of the data in an analytical context and the use of statistical summary methodologies.