

The information you need, all in one place, when you need it. The insights that drive your business are buried deep within multiple syndicated, internal, and point-of-sale data sources. Internal shipment and trade spend data, syndicated data from Information Resources, ACNielsen, NPD, and Spectra, and POS data from retailers such as Wal-Mart, are more valuable when viewed as a cohesive whole. DataAlchemy unites these various forms of data to provide a single view of the information necessary to build and execute a successful category marketing and sales strategy. DataAlchemy can help accelerate growth, increase facings, streamline category management, eliminate wasteful trade spend, and increase assortment efficiency. With DataAlchemy, static routine reporting that once took days can now be ready in minutes. DataAlchemy delivers dynamic, "what you want, when you need it" analyses so you can react quickly during a sales call, strategy session or to changing market dynamics.
With DataAlchemy, your disparate data sources are readily combined, structured, and normalized. Opportunity gaps are visually evident. The success associated with various pricing strategies and trade spend can be compared across product, time, and geography segments. Custom analyses take days, not weeks. Easily assemble interactive charts and tables that leverage the combined data for use in well-known Microsoft Office applications like PowerPoint and Excel. Leverage KnowledgeShareT, DataAlchemy's browser-based information sharing platform, to share analyses with key decision-makers, field sales users, and management - each receiving the exact level of granularity they need. When new data becomes available, the existing reports and analyses are automatically refreshed. DataAlchemy empowers experienced analysts to focus their time and talent on adding knowledge to the process, not on formatting reports and scrubbing data. Decision-makers and management benefit from faster access to comprehensive analyses that enable them to respond quickly to fluctuations in consumer demand.
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