SAS Customer Intelligence Software


 

SAS Customer Intelligence is a cloud-based and on-premise integrated customer relationship management (CRM) and marketing management suite that caters to midsize businesses across various industry verticals. The solution combines multichannel campaign management, marketing resource management and marketing performance management along with data management and a range of analytics capabilities.

SAS’s 'Customer Link Analytics' enables businesses to identify their customers' social communities which allows them to manage their campaign effectiveness by targeting prospects and retaining high-value customers. Other analytics modules, including SAS Marketing Optimization and SAS Profitability Management, help businesses allocate to costs and keep track of revenue-impacting business constraints.

Additionally, SAS Customer Intelligence offers users features such as channel management, lead management, a contact database and event-triggered actions. Support is offered via phone, email, live chat and an online knowledge base.

 

SAS Customer Intelligence - Decision tree analytics
 
  • SAS Customer Intelligence - Decision tree analytics
    Decision tree analytics
  • SAS Customer Intelligence - Marketing analytics
    Marketing analytics
  • SAS Customer Intelligence - Calendars
    Calendars
  • SAS Customer Intelligence - Decision managers
    Decision managers
  • SAS Customer Intelligence - Offer optimization
    Offer optimization
  • SAS Customer Intelligence - Sensitivity analysis
    Sensitivity analysis
Supported Operating System(s):
Windows 7, Windows Vista, Windows XP, Web browser (OS agnostic), Windows 2000, Windows 8, Windows 10

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Seddik from EPAC Technologies
Specialty: Software / IT
Number of employees: 51-200 employees Employees number: 51-200 employees

March 2018

March 2018

SAS Customer Intelligence

Ease-of-use

Functionality

Product Quality

Customer Support
N/A
Pros

•Open data model
•Dynamic data collection
•Post-data-collection contextualization
•Anonymous behavior capture
•Predictive models, forecasting and goal-seeking routines
•Dynamic content placement

Cons

Pricy for medium and small firms.
Tough to learn.
Not user friendly.
Can have better visualizations.

Review Source