SaaS-based solution for Advanced culling and analytics
The client sought a SaaS based solution for documents analytics, email thread analytics, document tagging and custom analytics for their data analytics product suit.
Consolidate the data from different mediums.
Optimize the data extraction and loading process.
Perform data analytics on top of the aggregated data from different sources.
Provide tagging, custom document viewer and data analytics on top of the data.
There were multiple challenges while developing the solution like,
Consolidating the data from various sources available in different formats.
Aggregating, cleansing the data and delivering scalable architecture for data analytics solution.
Building the custom document viewer & providing accurate tagging for documents.
System architecture
We divided the solution into multiple deliverable modules across different teams like Big Data, Machine Learning and Java Web Development.
Then we followed an iterative phased approach to implement the solution that included the following phases:
Business requirements analysis.
Architecture design.
POC building & Scaling.
Backend implementation.
Performance tuning.
We followed the above phases iteratively, as we faced challenges and requirement changes while development.
We delivered a sophisticated data analytics solution to our client and as a result our client organization was able to visualize various things from top level. We also provided efficient tagging and document viewer which is the USP of the solution and as a result DocCULL became a part of enterprise search suit of our client.