This account is pending registration confirmation. Please click on the link within the confirmation email previously sent you to complete registration. Need a new registration confirmation email? Click here
Senshukai plans to begin production deployment in
September 2013 for the Data Warehouse Appliance (for Teradata Aster in
December 2013) as its new analytical information system to manage, analyze and produce big data business insight. The Teradata Unified Data Architecture™ (UDA), when complete, will coordinate structured information with multistructured data from multiple sources using the Teradata appliance, Teradata Aster, and Apache™ Hadoop®. Data will integrate many structured and conventional types such as customer data, product information, and operational data – with multi-structured data such as Web logs, texts, images and many other kinds of detailed interaction data.
Senshukai started using Teradata systems in 1995 and since that time about 2,000 employees (including its Group companies) have used Teradata solutions for customer management, catalogue publications, and complex product management. However, the data volume has increased rapidly over time and the volumes of data content to be analyzed have become larger and more complicated. The information management team realized they required more scalable performance and more updated processing capacity. Moreover, the company's advanced analytics specialists indicated the need for a more powerful system to consolidate a variety of data types generated across multiple channels such as catalogue shopping, Internet shopping, and call centers – to leverage new analytical methods for generating deeper and broader insight. Analytics professionals at Senshukai are committed to using the very latest data integration tools to better understand customer activities in greater detail and across many channels. In response to the demands of a growing business, increasing data volumes, and need for broader business insight, Senshukai made the decision to dramatically upgrade, improve and increase the performance and disk capacity and also build a new analytical environment that processes multi-structured data.