Implementing Big Data Analytics Solution to Drive Sales
A Fortune 500 storage systems and software company needed to draw insights from voluminous (~ 1PB/month) ‘call home’ data to optimize its service as well as drive technology refresh sales.
Business Challenge
The organization needed a highly scalable big data solution to leverage and draw insights from its ~1PB/month ‘call home’ data to optimize its services as well as drive technology refresh sales.
Technology Components
Hadoop
Oracle DSS
Pentaho ETL
The Approach
Built prototype and POCs to validate the end-state and the intended value promise of the proposed IT infrastructure
Established R&D track to validate the new technology ahead of the build cycles to provide appropriate design specifications and set the right user expectations
Managed the organizational change
Analyzed business and IT pain points to prioritize needs
Assessed big data and ‘traditional’ tools for data analysis
Supported execution architecture in the runtime for all client applications
Co-designed and co-developed ingestion, map reduce, REST interfaces, and OSS/ DSS reporting capabilities
Implemented flume ingestion and storage for Hadoop Distributed File System (HDFS)
Developed REST interfaces for Hadoop data for external applications
Implemented Pentaho orchestration of the ecosystem
Co-developed Pentaho ETL to load data from Hadoop to Oracle DSS
Provided operational support after the solution rollout
Transformational Effects
Simplified consumption of client application data across different stakeholders
Created a scalable and adaptive environment for product changes in a timely manner with minimal impact
Enabled effective analysis of client application data to drive innovation
Enabled infrastructure management across IT & engineering layers to support large volume of client application data
