A Fortune 500 Storage Systems and Software company was looking for a next-gen Data Integration & Analytics platform to process device diagnostic data to enable product and customer support.

Business Challenge

  • Storage devices (from ~75% of the install base) around the world sends configuration, performance and log information as Auto Support (ASUP) messages. The client’s legacy DW platform was unable to process this huge amount of data (1TB/wk) in time and support real-time analytics of device logs to identify issues upfront. With growing ASUP volumes, it was posing serious challenges in meeting the mission critical SLAs. Additionally, there were no customer, sales, service and support insights available for cross- and up-selling.

Key Technology Components

  • 117 Node CDH cluster with 1.15PB data. Tech stack - MD, Flume, HDFS, Hbase, Hive, Pig, Solr, Java, Config Loader, Pl/Sql, Shell Scripting, Datameer, Tableau, Pentaho DI, Oracle, SQL Server, OBIEE, MSBI

Approach

As a strategic partner, Trianz helped in implementing the next-gen DW platform on big data technologies, and is currently involved in promoting its enhanced usage to drive sales & services (beyond product support).

Strategy/Roadmap

  • Assessment of current state, future requirements and gap analysis through interactions with IT & Business

  • Technology evaluation and recommendation

Execution

  • Requirements gathering and development of new platform

  • Implemented multiple releases to enhance functionality and developed downstream applications like MyASUP and SmartSolve etc.

  • Maintaining the platform (L3 support) since 2011

Transformational Effects

  • Highly robust, scalable and reliable ASUP.Next platform ensured smooth and uninterrupted business operations

  • Improved product support and customer service

  • Huge opportunity to monetize this platform by generating actionable insights to support sales & service operations

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