User behavior analysis platform
The client sought a solution to architect, develop, support for sharepics platform. Using SharePics, client should be able to perform data analytics of the users, likes, posts and pictures based on different parameters.
Apart from data analytics, recommendation was also a major part of deliverable solution.
Consolidate the data from different mediums.
Optimize the data extraction and loading process.
Perform data analytics on top of the aggregated data from distributed index.
Provide different types of recommendations to users.
There were multiple challenges while developing the solution like,
Providing scalable architecture for consolidating huge amount of data.
Delivering the fault tolerant solution for indexing massive amount of data.
Providing accurate recommendations within limited time.
We followed an iterative phased approach to implement the solution that included the following phases:
Business requirements analysis.
ETL (Extract, Transform and Load).
Indexing & aggregating the data.
Recommendation engine solution building.
We delivered the appropriate solution to our client and as a result client organization was able to perform the data analytics on top of users data, we also delivered near real time recommendation engine solution to our client organization.
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