Quality customer data is essential to successful marketing campaigns. That’s why SAS addresses every aspect of managing customer data – from extract, transform, load (ETL) to data quality. The result? Access to enterprisewide customer data when and where you need it.
Having to rely on IT for the data you need can slow processes or even grind them to a halt. Custom information mapping technology ensures that the data you need – from online social data, to offline channel data, and everywhere in between – is right at your fingertips. No waiting required.
Because marketers assign the data relationships, you’ll get faster, more precise answers – after all, marketers are the ones who know the customer data best. Plus, there’s no need to wait for IT to pull the data – and re-pull it when it’s not quite right. In addition, industry-specific, customizable data models let you address your organization’s individual needs.
Versatile storage options include support for star schemas, dynamic clustered tables, parallel loading into virtual tables, as well as integration with SAS Data Integration Studio.
Many organizations use a mishmash of miscellaneous tools for campaign management across different departments or lines of business. They may use Vendor X for segmentation, Vendor Y for campaign design and Vendor Z for campaign execution to Channel A, or Vendor Q for execution to Channel C. But you don’t have to. SAS Customer Intelligence fits your needs, whatever they are. From dynamic segmentation to design to execution – the entire span of capabilities, or just the pieces you need.
You’ve no doubt seen the sleek, sparkly, sexy interfaces of some campaign management solutions. Sure, they look good, but guess what? There’s no power underneath. SAS has poured more than 10 years of R&D into SAS Marketing Automation. Over the years we’ve packed it full of all the best features and removed the clutter of the ones that don’t matter. And it's the only solution available that has both looks (a sleek interface) and brains (embedded with powerful SAS Analytics).