Sales Data Management
When sales organizations lack a single data repository and robust processes to transform, cleanse, validate, and maintain data, they experience the negative consequences of inaccurate, inconsistent, incomplete, or delayed information, which limits the ability of the sales organization to execute its strategy.
Underlying all of Synygy’s ICM and SPM solutions is an integrated data repository. In addition, Synygy’s approach to sales data management includes the automation of processes for extracting, loading, transforming, and validating data and for analyzing data processing performance—all within a single technology platform.
Challenges
Without effective sales data management, organizations may face the following challenges:
- inefficient utilization of the data needed to drive execution of sales strategy due to constraints in data availability, accuracy, or consistency
- inconsistent data that is scattered across multiple sources and that cannot be easily collected, loaded,
and integrated - inaccurate data that is not properly validated and cleansed before it is used in incentive compensation calculations and on reports provided to the sales force
- lack of internal controls and audit trails to meet compliance standards and requirements regarding sales performance data
- inflexible systems that fail to incorporate new data sources and changes to data to address evolving needs of the sales organization
Solution
To address these sales data management challenges, Synygy provides companies with the ability to:
- design and build a single data repository that enables the effective management of incentive compensation and execution of all supporting sales processes
- access and use all of the data needed to provide a complete and comprehensive view of performance
for the sales force - validate data, and cleanse data, and identify and resolve root causes of errors
- establish and maintain secure and auditable processes for loading data and making adjustments
and exceptions to data - quickly and easily adapt the structure and content of the data repository and related data processes
