First there was web analytics
Then there was Mobile Analytics
And now, for those who are noticing, there is mobile web analytics.
If you have been following our Facebook or Twitter feeds you will notice that this is one trend we are closely tracking. Smart Phones – be they the ubiquitous Blackberry, I Phone or an Android- completely change the ways human consume information. Whether it is in simple steps such as checking the price of a products on a price comparator while at the grocery store, or creating detailed personal data diaries of different activities – such as how long a person walks per day, or how many calories she consume, Smart Phones has made the most ordinary of people data fiends.
For an analysts this means a much greater ability to capture personal and web data and build predictive models that -literally- help people lead better lives.
-Simple apps that ping the moment you have crossed your recommended daily allowance of calories based on a back-end analytical engine
- A predictive model that correlates time spent outdoors with overall health and well being
- Association rules that help retailers aggregate data and tell them what kinds of stores people visit together helping mall owners with more efficient and profitable layouts
- A data visualization app that helps you compare your necessary expenditure against frivolous spends
All of these become a distinct possibility at the cross roads of mobile and web analytics, and this is why smart phones are No.2 in our list of analytical trends for the year
For more from the series read here:
