At the outlook, web analytic looks simple. After all it is the data about who visited the website and all about the traffic. However, if you need to make useful business decisions based on web analytic data then things get really complex. In this articles we will explore, generic problem that many small businesses or websites face with regard to web analytic.
Google trends gives an interesting alalysis of Analytics and Statistics - usage of these words in the web. In the last one decade, there is an inverse trend between the words Analytics and Statistics. There are numerous arguments to differentiate between these terminologies and many have argued they are more same than being different. Nevertheless, if we have to believe Google search then people are liking more Analytics and less Statistics compared to the past.
Here is an interesting statistics about numbers games on synonyms - analytics, BI, big data, statistics, and data science. Powered by icrunchdata, Big Data Analytics Jobs Index provides a benchmark estimate for visualizing the present state and future job growth trends in Big Data, Analytics, Big Data, Data Science, Hadoop and Statistics job categories.
Big data and data-driven decision-making are key factors in the current advanced analytic market. This years Gartner quadrant for advanced analytics delivers a mix of good news and bad news for vendors in the advanced analytic category. Clearly there is up move for vendors such as Microsoft, Alpine, and Alteryx.
Web analytics helps to answer how data from a web server's log can be harvested to generate useful and actionable business intelligence, particularly when the data is combined with existing customer and sales data in a Data Warehouse. Wiki page defines web analytics as "the measurement, collection, analysis and reporting of web data for purposes of understanding and optimizing web usage".