Avantages du partenariat
All-in-one SAS Analytics Ecosystem
Teradata makes choosing the right platform for your SAS analytics quick and easy by assembling everything you need in a single box that is fully supported and ready to run in your preferred location (i.e. public cloud, private cloud or on-premise).
In addition, by working in collaboration with SAS, Teradata has made it possible to incorporate SAS Viya, SAS 9.x and all your data into a single analytic platform. This single analytic platform is flexible, portable and offers the lowest total-cost-of-ownership. A solution that makes it easy to quickly access and analysis all your data using the SAS tools of your choice.
And because this system is built using Teradata, it is entirely scalable, provides exceptional security and data governance, and is backed by a team of SAS experts that can help you maximize the performance of your SAS Analytics tools.
Making Better Decisions Faster with SAS Analytics
Improving your utilization of SAS analytics doesn’t require a complete overhaul of what you’re already doing or even the purchase of new software. It’s about doing more with what you already have, making your people more productive, and simply making your SAS Analytics solutions run faster.
In collaboration with SAS, Teradata has developed proven solutions that eliminate the unnecessary effort related to the management and movement of data for analysis. This effort can account for up to 80 percent of your business analysts’ time.
The joint solution integrates your SAS tools with your Teradata analytics platform, minimizing or eliminating the time required to prepare the data for analysis and making it possible for organizations to ask more questions, more quickly. The result is an exponential improvement in speed. These significant improvements can cut modeling times from months and days to hours and minutes.
In addition, analysts can also work with complete data sets, not samples; as well as the option to load test data of their own, without having to ask IT for help or worry that that data will negatively impact the larger data set