A Fortune 500 storage systems and data management company wanted actionable intelligence with device diagnostic data transmitted from across client locations. With nearly a terabyte of data per week and without a robust big data platform limited proactive identification and resolution of issues and missed opportunities to upsell and cross-sell services.
We developed a strategy and roadmap to unleash the potential of Big Data. Deployed data Integration and Analytics platform to process data and gain insights. Then, put it into the hands of service teams to resolve issues, and sales operations to uncover hidden opportunities. The result? Formerly raw data is now intelligence, thanks to Big Data Analytics.
THE BUSINESS CHALLENGE
The company’s products are designed to transmit configuration, performance, and log information as auto support messages to technical support for problem determination and resolution. The legacy DW platform was unable to process this huge amount of data (1TB/week) and provide real-time analytics to resolve issues leading to serious challenges in fulfilling SLAs. The lack of insights further limited the opportunity to cross-sell and upsell services.
TECHNOLOGY COMPONENTS
Java/J2EE, FLUME, Pearl, Python, Shell Scripting, Hadoop - HDFS, Hbase, HIVE, Solr, Pentaho, Oracle, Kafka, Spark, and Scala.
THE APPROACH
- Strategy and roadmap development: Assesses current state and future technology platforms and made recommendations
- Implementation: Gathered requirements, implemented the new platform, enhanced functionality and developed downstream analytical applications
- Operations: Maintaining the platform and providing L3 support
TRANSFORMATIONAL EFFECTS
Simplified consumption of data across the enterprise with a robust, scalable, and reliable platform. Thereby ensuring uninterrupted business operations, improved product supportability, and elevated customer service. And a huge opportunity to monetize data by cross-selling and upselling services!
