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Sales Force Analysis Module
Features & Benefits
MicroStrategy’s Sales Force Analysis Module, an application module for sales management, provides more than 85 performance metrics and over 40 key reports to help companies convert leads into sales, monitor sales pipelines, and rank sales executives. The module helps your organization gain insight on the types and quality of leads in the sales process, report on the status of each opportunity, and analyze revenue forecasts.
Built on the MicroStrategy platform, the Sales Force Analysis Module answers an unlimited range of business questions for a variety of users to boost the efficiency and effectiveness of your sales force. Companies use the module to monitor key performance indicators that automatically spotlight above- and below-target performance.
MicroStrategy’s Sales Force Analysis Module has been designed so that organizations can accelerate sales force performance management initiatives by running packaged analytics directly against an existing data warehouse or multiple disparate data sources including sales force automation systems. The module can be easily modified and extended to meet additional reporting and data requirements.
Features & Benefits At A Glance
- Easy-to-use best practice reports and scorecards
- Perfect match for business user requirements – customizable without coding
- Integration with existing technology investments
- Production-ready application
- 360-degree reporting, analysis, and monitoring
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Detailed Features & Benefits
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Key Analysis Areas
- Leads
- Pipeline
- Product Sales
- Sales Performance
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Typical Business Uses of MicroStrategy’s
Sales Force Analysis Module |
| Model
contribution of categories to total sales & profit using statistical
models for use in vender price negotiation |
| Determine
the probability of products selling together using market basket
analysis to optimally design store layouts to maximize sales |
| Proactively
monitor inventory levels & sales to be notified when levels
are low & automatically place order with supplier |
| Forecast
effectiveness of campaign combining historical data with market
share analysis using time series analysis to optimally allocation
resources by region |
| Create
executive dashboards by combining multiple grids, graphs &
other information on one document using advanced formatting features |
| Drill
down to transaction-level data of account by opportunity status
(e.g. pipeline, commit) and escalate action accordingly |
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