Aggregate, match and de-dupe complex customer and sales data
Data and information flows are critical for organizations to build relationships with their customers. Companies rely on accurate customer data to establish supplier relationships, create better cross-functional business processes and enhance revenue through customer acquisition and retention.
For companies with complex distribution networks (e.g two-tiered models) creating an accurate view of the customer and sales behaviour is a major challenge. For example, many companies that sell software and hardware solutions through a network of distributors and resellers need the ability to receive and process sell-through data (e.g., point-of-sale or POS). The POS data that is collected can, if purposed correctly, be used for data mining, forecasting, trend analysis, and trade promotion incentives including MDF, co-op and rebates. However, many organizations don’t know where to begin to create standardized customer records and build a robust operational repository to hold them.
PlanetDNA’s Single View of Channels Module provides a sophisticated solution that enables customer, geo-demographic, profile and transactional data to be purposed into a single repository. We understand the role of a single customer view and the value it can bring to your sales and marketing programs. We also understand the implications of customer permissions, system security, and business rules for accessing customer data.
PlanetDNA can implement a single view of channels and customers for your business. Using patent-pending technology that accurately processes point-of-sale (POS) and inventory data in near real-time for companies that sell their products through indirect business-to-business or business-to-consumer distribution channels. We accurately identify products, partners and end users contained in your POS transaction data, and enrich this information by matching it to third-party reference databases — providing visibility into all of your customers and partners. Whatever your data challenges are (inventory, pricing, rebate qualification and calculation, sales credit assignment etc) we can help!