CARY, N.C.--(BUSINESS WIRE)--

Lenovo knew it had the data to drive the success of its Yoga 11S convertible ultrabook, which launched earlier this month and moved the company beyond the traditional PC market. Lenovo, the worlds second-largest PC manufacturer, actually had too much data on the latest addition to its IdeaPad product line to easily see which marketing campaigns worked best.

With petabytes of relevant information generated daily from ever-increasing customer traffic including online and retail sales, Web visits and other sources, Lenovo executives knew they needed flexible analytics and data visualization to provide insight into a growing customer base and big data assets.

To provide the most value, the software had to be simple to use and the results easy to comprehend. Lenovo chose SAS Visual Analytics to make sure its Yoga marketing programs drive optimal interest, engagement and sales.

SAS Visual Analytics will help Lenovo:

We knew the Yoga 11S has what it takes to be a success in this very competitive market but wanted to be sure the marketing campaigns made it optimally successful. Where did we need to invest to make the most of our marketing resources? said Ajit Sivadasan, Lenovo's Vice President and General Manager of Global E-Commerce, Sales and Marketing.

With so much rich and relevant data coming from customer interactions, social media, cross-device and domain interactions, having a powerful tool that handled these vast volumes of data seamlessly was a prerequisite. SAS Visual Analytics is precisely the type of tool that could likely extract insights to do near real-time optimization of the marketing programs from Lenovos complex, advanced marketing ecosystem, he said.

About SASVisual Analytics

SAS Visual Analytics is an in-memory solution for exploring any amount of data very quickly. Users can spot patterns, identify opportunities for further analysis and convey visual results via Web reports or iPad and Android tablets.

SAS Visual Analytics quickly reads data into memory for ultra-fast processing and data visualization. Users can then explore all data, execute analytic correlations on billions of rows of data in just minutes or seconds, and visually present results. They can then quickly identify patterns, trends and relationships in data that were not apparent before being graphically displayed.

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Lenovo Uses SAS® Visual Analytics to Help Position Yoga 11S ultrabook for Market Success