Ideal-Analytics brings in Google Analytics data for collaborative analysis

Google analytics is a tool-wonder, when you want to delve into the popularity of your creation. You would know the numbers of people interested at what level in your Google documents or Google exposed files. Statistics that not only judge this feature, but figures out the demographic distribution of your files as well.

Content writers, content managers and content sellers know very well the intricate features of Google analytics!

Are they looking beyond?
Yes, they are, certainly! Imagine a requirement where you might want to connect the interests of specified users with their recent spending in a particular industry or a service. Well Google can definitely give an indication to some qualitative measure of the interest but Ideal-Analytics can provide the statistics of his really spending pursuing that interest! And that is what you were looking for! You wanted a freedom to bring in data from any source and any application and analyse collaboratively. Ideal-Analytics took you to a beyond-land off the Google coast!

Security compliance and yet free to import
Google is very particular in the security of the data inside Google services. It does not share the authentication token to the users. The users are expected to expose their authentication and their server location with Google, that Google would authorise to supply data in every invoke.

Google exposes its data as per the OAUTH specification to all who would like to share data. Ideal-Analytics uses a protocol where they can connect or share data through the REST API protocol. Google allows that and still keeps all authentication and authorization rights with them. They do not provide any explicit token; rather the token exchange is opaque to the outside user.

Users send their userid/password [previously ratified as they need to exist with Google server] and then a user request along with the recipient server address. Google sends them a temporary conduit to do the next atomic task toward getting the data. This establishes a right of the user to access Google data.

Through a special connector, you now are free to pool in data from various applications.
Ideal Analytics uses a method of ETL called . A special connector for Google that makes the user bring in data and makes it available to other data sets culled in through other data sources through other connectors, helps place data of different applications and sources [even social network data] in the same table for analysis. The analysis-board is simple and uses the simple logic within Ideal Analytics.

Data from operational applications and those from Google can help strike relations on-the-fly through a mechanism called System connector. Users can at their will, analyse facts and measures of any data file with respect to dimensions culled from Google analytics and vice-versa.

User’s interest mapped to concrete action can now be measured:
A user might have been showing prolific interest in a product or service or process or matter of other interest and she had been doing so for an extended period of time and then how is that interest mapped or translated in terms of buy/sell or usage. This is what every service industry or product industry would be interested in to find out the consumer behaviour. Ideal-Analytics comes handy here- it has combined the actual sales and usage data with the interest of the users who had been pursuing an individual research on a product or service. Not even a handful of tools were providing this insight. Ideal-Analytics can do that easily.

So would be a special case of collective consumer behaviour of a typical demographic group. E,g how much business is given by the English language readers in the Southern part of Germany correlated with the rate of youngsters in Germany who are polyglots. Data that never were meant to be related could now be connected, related, analysed and coordinated to be depicted in a single dashboard faster than a snap.