(1)
Overview: In the Financial Services industry, the cross-selling and retaining of customers have become very important issues. These issues have been addressed via the development of many predictive models. These models have been designed to identify customers having a high likelihood of purchasing multiple products. However, the vast majority of these models have been done at the business-to-consumer level. The independent variables for these models have generally included transactional data: transaction frequency, amount of transaction and purchase sequence, and demographic data (age, gender, income, geographic location, etc.) Alternatively, this paper explains an approach for multistage cross-sell modeling at the business-to-business (or employer) level.
Profit Acceleration Strategies for Mid Sized Companies
IT budgets are tight, but there is no leeway when it comes to staying competitive and profitable.
Certain mid-sized organizations are experiencing record...
Impact Business Performance with BPM
To maximize your chances for success, you need the ability to continually optimize, streamline and align business processes to meet changing business needs for greater performance. Business process management (BPM) from IBM can help.
|
