Kelley found its Microsoft SQL-based business intelligence and data warehousing infrastructure couldn’t handle its growing data analytics requirements.
About two years ago, the company started using a new IBM Netezza Twinfin data warehousing appliance, which it supplemented with a second similar system last December. The two systems together, with software from Information Builders and MicroStrategy, form the core of Kelley’s new data warehousing and business intelligence capabilities.
Kelley is also using a variety of predictive analytics, data mining and text analytics tools from SAS Institute to help analyze the data it collects. Much of the analytics used to deliver new and used-car values, targeted advertisements, customized offers and reviews on the company’s website, KBB.com, are powered by SAS’s software.
This is an exemplary story of the value of Big Data and analytic solutions. But I’d also like to learn:
- how they move from Microsoft SQL BI to IBM Netezza Twinfin and SAS
- how have they evaluated the business value brought by integrating each of these solutions
- what is the return on their investment
- what alternative solutions have been evaluated in the process and why these particular ones were chosen
Original title and link: Data Analytics at Work ( ©myNoSQL)