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Showing results for tags 'big data'.
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Summary of a virtual boardroom hosted by Bryan Harris from PredictHQ on How in-person events can signal demand recovery Context & current approach to demand sensing The three-stage maturity model above allowed us to assess at what stage participants were at with regard to demand sensing with all being somewhere to the left of the centre of this spectrum. Typically, this included: a blend of conventional forecasting (using ePOS and historical data) and demand sensing methods where more external data sources are being included; sometimes, a ‘tsunami’ of data but
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Digital twins for scenario modelling and predictive analytics
JP Doggett posted a topic in Data & analytics
DRAFT AGENDA Digital twins for scenario modelling and predictive analytics Integrating ERP data using a big data approach to create a one-to-one digital twin of the supply chain Striking the right balance between excessive complexity and sufficient granularity Next-level supply chain analytics and scenario modelling From descriptive to predictive analytics ABOUT INTENT DISCUSSIONS All discussions are private, held under the Chatham House Rule and moderated by INTENT with approx. 6-8 participants for 45-90 mins of -
DRAFT AGENDA Integrating external / big data for planning Dealing with volatility and compromised value of historical data Identifying reliable external data sources: customers, suppliers, indices, data providers...? Integrating, harmonising and harnessing external data into planning systems and processes ABOUT INTENT DISCUSSIONS All discussions are private, held under the Chatham House Rule and moderated by INTENT with approx. 6-8 participants for 45-90 mins of candid, interactive discussion (not a passive webinar) Some
