In part
1 of this blog posts series I discussed the business needs for building a
custom analytics report, In this part I will show you how you can save your
analytics data to MongoDB using the analytics tracker, then how you can
aggregate this data into reporting SQL server database, in future blogs posts
will show you how we can build SPEAK application to display the data and how
you can extend the analytics filters based on your report needs
