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Pricing Analytics

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Apr 29, 2020 3:02 PM
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Workflow of Webinar "Pricing Analytics" by STAR COOPERATION, co-hosted by KNIME, June 30th, 2020 Use-Case: Price optimization for an e-commerce shop (fictive data set) Pricing Analytics is used to understand which factors influence performance on a granular level and how optimized pricing can be used to increase turnover and sales. Pricing in combination with KNIME is a good way to use your data in a target-oriented way and with little manual effort, thus optimising your pricing. The highlights of our webinar: - Data preparation and analysis for pricing - Integration of competition information - Price optimisation approach of Value Based Pricing - Price line optimisation and its implementation
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Used extensions & nodes

Created with KNIME Analytics Platform version 4.1.3
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    KNIME CoreTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.1.3

    knime
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    KNIME Excel SupportTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.1.2

    knime
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    KNIME ExpressionsTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.1.0

    knime
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    KNIME JavaScript ViewsTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.1.2

    knime
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    KNIME JFreeChartTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.1.0

    knime
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    KNIME Math Expression (JEP)Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.1.0

    knime

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