Title
Enterprise Telesales Opportunity Pipelines Performance Management
Abstract
Enterprise telesales is most different from consumer sales by having a prolonged sales cycle, in weeks or months, in order to integrate various internal supports to validate and satisfy complex client demands and needs. Managers of such telesales centers are often challenged by the elaborate tasks of tracking the subtle progress of these pipelines of sales opportunities. Thus, an on-demand dashboard for the managers as well as the telesales representatives is a critical IT tool to address this unique problem. This paper provides insights into the Business Performance Management (BPM), a technology used in business intelligence to enable users to observe, analyze, and act upon the information at the right time. To describe a sales cycle and the tracking needs, we start with a set of Key Performance Indicators (KPIs) for a staged pipeline progression model. Based on business rules and threshold conditions for these KPIs, sets of business situations and alerts are generated for presentation. Finally, a hierarchical design is explained with drilldown capabilities for a typical reporting structure of a telesales center. The productivity of an IBM telesales center under such proactive management has been found to be six to seven times more cost effective than traditional field sales.
Year
DOI
Venue
2006
10.1109/ICEBE.2006.47
ICEBE
Keywords
Field
DocType
business intelligence,ibm telesales center,enterprise telesales,sales cycle,business situation,sales opportunity,enterprise telesales opportunity pipelines,prolonged sales cycle,telesales representative,business rule,performance management,telesales center,business communication,cost effectiveness,business rules,satisfiability,key performance indicator,productivity,sales management
IBM,Performance indicator,Pipeline transport,Computer science,Knowledge management,Sales management,Business communication,Business intelligence,Performance management,Business rule
Conference
ISBN
Citations 
PageRank 
0-7695-2645-4
1
0.37
References 
Authors
5
5
Name
Order
Citations
PageRank
Trieu C. Chieu117417.87
Pawan Chowdhary2455.76
Shiwa S. Fu3337.04
Florian Pinel418420.05
Jih-shyr Yih5349.70