Do you want to know the “what”, “why” and “how” of the benefits of PureData System for Analytics?

By Rahul Agarwal,

Previously, I have argued that total cost of ownership and time to value are key ingredients for getting a good return on investment (ROI) from your analytical appliance(s). Existing, new and prospective users of such systems feel the same way, as experienced by @DwaineSnow in his numerous interactions with them. He has observed that these users also look for ‘Ease of use’ and ‘Performance’ while choosing their ‘converged’ systems.

Examples of the benefits of PureData System for Analytics, as experienced by the users in the ‘field’

Let us look at the experience of PureData System for Analytics user in  the retail sector.

Farrukh Khan sums up the need for analytics (and an analytical appliance) in the retail sector beautifully in this post. He says that “Retail perhaps more than any other industry is seeing a significant shift in its core value proposition. Consumers are constantly using new data sources, new media, and new applications to determine the best place, price and time to shop. The gen X and gen Y shoppers, although seemingly less loyal and more price savvy, are also much more accessible and revealing.

In this fast new world of retailing, Bon-Ton Stores, which operates 75 department stores in 23 states in the United States, wanted to understand what their empowered customers were thinking when they came to their stores “without having direct contact with them”.

Bon-Ton Stores needed to add real time data from the POS and order management systems to the existing PureData System for Analytics and have the data available to management and the store associates within minutes of the transactions without hindering existing BI workloads. The Bon-Ton Stores will be sharing this story at IBM Insight 2014.  To know how they implemented the solution, the technical results and the business value of the solution you can register and join session #IWM-6490.

About Rahul Agarwal

Rahul Agarwal is a member of the worldwide product marketing team at IBM that focuses on data warehouse and database technology. Rahul has held a variety of business management, product marketing, and other roles in other companies including HCL Technologies and HP before joining IBM.  Rahul studied at the Indian Institute of Management, Kozhikode and holds a bachelor of engineering (electronics) degree from the University of Pune, India. Rahul’s Twitter handle :  @rahulag80

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