Among all the products SAS provides, Enterprise Miner (EM) is one that not only makes it easy for an SAS neophyte to build models, but also provides a rich set of tools flexible enough for advanced SAS users. This paper focuses on the EM association node in particular. This node provides useful analysis procedures for merchants, such as retailers or publishers who have large amounts of transaction or order data available. Mining from them can be a daunting task. Yet it can give valuable insights into which products are most likely to be purchased/ordered together by customers. When transaction data from multiple merchants are available, the association node can look at the customers of a particular merchant and discover which other merchants they also frequently shop at.
Did you find this white paper useful?
7 out of 12 users found this white paper useful
Related white papers
Ovum Report: IBM Simplfies Service Management to facilitate business and IT
All too often, companies find their IT infrastructure is fragmented and confused. Different parts of the business have different silos of data and applications, with no integrated vision joining them...
Massively Scalable NAS - Pre-Empting Tomorrow's Data Overload with Today's Technology
HP is launching the HP StorageWorks 9100 Extreme Data Storage System that solves challenges such as extreme scability, manageability and affordability and creates new business opportunities. HP is going to...
Accelerating Enterprise Data Governance Part 1
In the first of this series of three white papers, Mike Ferguson of Intelligent Business Strategies defines what data governance is and then looks at the requirements that need to...
Data Governance for Master Data Management and Beyond
There is growing interest on behalf of both data management professionals and senior business managers to understand the motivations, mechanics, and benefits of instituting data governance within an organization. This...
The ROI of Data Governance - A Revenue Generation Perspective
"Concentrating on increasing revenue necessarily means paying attention to metrics such as return on investment (ROI). This white paper from Gwen Thomas of the Data Governance Institute provides a practical...
Building a Data Quality Scorecard for Operational Data Governance
" Operational data governance is the manifestation of the processes and protocols necessary to ensure that an acceptable level of confidence in the data effectively satisfies the organization's business needs....
MDM Components and the Maturity Model
Any effective master data management program requires a mix of technologies to achieve success. This white paper by David Loshin provides a conceptual outline of technical MDM components and examines...
