Oracle announces new release of Oracle Demand Signal Repository

Oracle Demand Signal Repository enables companies to leverage external demand data to lower out-of-stocks at the store shelf and improve execution of promotions and new product introductions.

The latest release includes enhancements and new capabilities that enable improved store level replenishment and exception management.

By combining complete support for downstream data management with world class analytics, Oracle Demand Signal Repository enables consumer product manufacturers to increase revenue and reduce costs through better demand planning, more accurate retail execution and a more streamlined IT environment.

Enabling the Demand-Driven Enterprise:

Through a best-in-class analytic platform, Oracle Demand Signal Repository delivers insight both on demand and in context with user-friendly ad hoc analysis capabilities, Microsoft Office desktop integration, briefing books, and personalized desktop gadgets.

This latest release also provides users with an extensible data model that captures and manages both syndicated and retail point of sale data sources. This enables a seamless blending of summary data from syndicated data sources, standard "day, store, and stock-keeping unit (SKU)" retail data, and even more granular inventory and sell-through information from individual inventory locations within the store.

Oracle Demand Signal Repository delivers best-in-class analytics and full support for downstream data management. New capabilities and enhancements include:

- Store and item clusters: extend analysis capabilities to manage both custom retail store and custom retail item groupings for segmentation analysis.

- Exception management: adds new alerting framework and pre-built rules to monitor daily data and bring forward key store level exceptions for management.

- Replenishment rules: provide visibility into store-SKU replenishment rules as well as providing a key input into the identification and management of replenishment exceptions.

- An enhanced scorecarding user interface: delivering deeper support for externally generated thresholds and goals to enable trading partner performance management.

To provide a truly holistic view of the market, Oracle has collaborated with The Nielsen Company to provide:

- Enhanced syndicated data support: delivers new data model and mapping capabilities to link / blend syndicated data received at various levels of hierarchy and aggregation with the store level retail data received directly from customers.

- Nielsen TDLinx integration: prebuilt adapter for store/outlet data helps ensure accurate retail outlet details and account structure with each update from the Nielsen TDLinx Channel Database.

"The analytic capabilities of Demand Signal Management (DSM) provide an understanding of demand to drive the operations of a consumer goods business and a wide spectrum of planning and information systems. DSM is more than just a single version of the truth. It can also be a critical tool to identify new sales opportunities, to manage stock more effectively, to drive agile responses, and to provide more timely and accurate data for business forecasting and planning," said Gartner's Research Director, Peter Bambridge.

Rick Jewell, Oracle Senior Vice President, Applications Development, said:

"To facilitate agile business processes, consumer goods manufacturers need to capture and utilize external demand data from a wide variety of sources. By extending and enhancing the downstream data management and analytics capabilities with Oracle Demand Signal Repository, we're helping our customers improve operations, make better decisions and drive profitability."

General Availability:

This latest release of Oracle Demand Signal Repository is currently available as part of Oracle's Value Chain Planning applications. The application offers out-of-the-box translations supporting 27 languages and is specifically architected for implementations in heterogeneous environments.

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