Organisations can save IT costs and time by using a centralised analytics model to predict business outcomes, according to SAS.
Speaking at the supplier's 2010 analytics conference, John Spooner, analytics specialist at SAS UK, said organisations need to move away from using departmental data tables towards a centralised model factory package. This will lower IT costs by eliminating IT departments' communication with analysts when deploying new models, as well as removing the re-coding process.
By submitting your personal information, you agree that TechTarget and its partners may contact you regarding relevant content, products and special offers.
"Models are driving all our business decisions and are crucial to making decisions quickly. Developing and deploying models quickly is critical," he said.
Financial services firms like HSBC are using SAS's model factory to monitor credit card transactions through a combination of SAS Data Integration Studio, SAS Enterprise Miner and SAS Model Manager. Using a centralised framework, models can be updated and replaced without disturbing IT processes.
Cross-departmental communication between analysts and IT departments will still be needed. "We're always going to need to be speaking to a number of different departments. But by utilising this common technology, hopefully it takes some of the pain away that we experience from a decoding perspective," said Spooner.