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Quantity Availabl e in the Season Transact ion Shipped Quantity Data Transact ion Product Data Transact ion Product Data Transact ion Product Price Data Historic al Daily Price Data Historic al Daily Shipped Quantity Historic al Product Data Predict ive Analyti cs Revenue Optimiza tion Predic ted Produc t Quanti ty for Sale at the price Predictive Analytics Small & Midsize Enterprises Today’s competitive and shifting markets, especially for perishable goods with seasonality, daily challenge small and mid size enterprises (SMEs) to realize the full value from their products. SMEs often have no control over the selling prices, or may be able to negotiate a limited control through contracts. Business Intelligence can help them greatly too, just as it helps large enterprises. The historical information on critical factors can be collected and organized into a dynamic business model for insights into the both, what had worked and what did not work. Such insights can then be applied what to the current data about these critical business factors, e.g. quantity that should be sold now or delayed at a possible price. We create such predictive analytics model for SMEs either in the turbo- charged Excel, or to integrate it with the company database. The insights derived from the analytics range from historical reporting to real-time analysis that can be used. The result is a panoramic view of the business that strikes the right balance of awareness and confidence to improve business outcomes. Predictive Analytics CLICK FOR THE NEXT SLIDE

Quantity Available in the Season Transaction Shipped Quantity Data Transaction Product Data Transaction Product Data Transaction Product Data Transaction

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Page 1: Quantity Available in the Season Transaction Shipped Quantity Data Transaction Product Data Transaction Product Data Transaction Product Data Transaction

Quantity Available in the Season

Transaction Shipped Quantity

Data

Transaction Product

Data

Transaction Product

Data

Transaction Product

Price Data

Historical Daily Price

Data

Historical Daily

Shipped Quantity

Historical Product

Data

Predictive Analytics

Revenue Optimization

Predicted

Product Quantity

for Sale at the price

Predictive AnalyticsSmall & Midsize Enterprises

Today’s competitive and shifting markets, especially for perishable goods with seasonality, daily challenge small and mid size enterprises (SMEs) to realize the full value from their products. SMEs often have no control over the selling prices, or may be able to negotiate a limited control through contracts. Business Intelligence can help them greatly too, just as it helps large enterprises.

The historical information on critical factors can be collected and organized into a dynamic business model for insights into the both, what had worked and what did not work. Such insights can then be applied what to the current data about these critical business factors, e.g. quantity that should be sold now or delayed at a possible price.

We create such predictive analytics model for SMEs either in the turbo-charged Excel, or to integrate it with the company database. The insights derived from the analytics range from historical reporting to real-time analysis that can be used. The result is a panoramic view of the business that strikes the right balance of awareness and confidence to improve business outcomes.

Predictive Analytics

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TURBO-CHARGED

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2007/09/0

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2009/09/0

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8$0

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Sales Performance of an Enterprise with Predictive Analytics

Sales without Predictive Analytics Sales with Predictive AnalyticsProduct Price

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Predictive Analytics in the Cloud

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MANAGE YOUR BUSINESS

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