Keen IO Enables Easy Custom Analytics

In today's business environment, no piece of information is too small. No piece of information--at least, when combined with other pieces of information--is insignificant. It's all about big data, but they don't call it "big" for nothing. Some companies don't have the resources to develop their own analytics infrastructure. Service offerings can fill the gap, but only if the services can meet companies' many--and ever-changing--needs. Enter Keen IO, which brings to the table scalable customization and calibration, along with simplicity in implementation.

The simple interface between finding out, storing and accessing your own analytics (Source: Keen IO)

The simple interface between finding out, storing and accessing your own analytics (Source: Keen IO)

Keen IO collects and stores massive quantities of event data (big data)--all the interactions that happen during the course of a day. Users can determine the type of events and data they want to track--anything from signups to impressions to errors--and can use either use a simple REST API or pre-made client SDK. "We believe in the power of data to uncover new truths about what’s important in your application," said Keen representatives in an email exchange with ProgrammableWeb, adding:

Keen IO makes APIs to collect, analyze and visualize data. Keen IO is unique because of how flexible it is. We're analytics by API – we don't have a pre-defined solution or a finite set of use cases. Anything related to event data can be tracked and built on top of our platform. This empowers developers to collect and explore their data. Compared to a lot of solutions out there, with proprietary and closed solution sets, our platform approach allows for an amazing amount of flexibility, control, and customization for our users. On top of this, we make it incredibly easy to get set up and start sending events.

What makes Keen IO extremely robust is its ability to store arbitrary JSON data, based on custom properties and attributes, that makes sense to you. Users do not have to worry about how big data is stored and scaled. The complexities involved in configuring complicated data analysis tools while balancing multiple servers is taken out of the equation--enabling even small companies and startups to focus on critical business matters and building their value proposition.


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