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Managing Seasonal Fluctuations in Retail with Analytics

Smart Data Collective

Data analytics technology has helped retail companies optimize their business models in a number of ways. One of the biggest benefits of data analytics is that it helps companies improve stability during times of uncertainty. There are a number of huge benefits of using data analytics to identify seasonal trends.

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Real-time Data, Machine Learning, and Results: The Evidence Mounts

CIO Business Intelligence

These kinds of capabilities enable companies like Uniphore to build a platform that applies AI to sales and customer interactions to analyze sentiment in real-time and boost sales and customer satisfaction. He specializes in removing fear, uncertainty, and doubt from strategic decision-making through empirical data and market sensing.

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Oshkosh puts digital solutions into overdrive

CIO Business Intelligence

We have models on safety and HR, but our larger concentrations have been more in supply chain and the sales area. How do you deal with uncertainties and where do you see technologies like AI or ML helping out in this respect? Khare: I look at uncertainty at two tiers.

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Oshkosh puts digital solutions into overdrive

CIO Business Intelligence

We have models on safety and HR, but our larger concentrations have been more in supply chain and the sales area. How do you deal with uncertainties and where do you see technologies like AI or ML helping out in this respect? Khare: I look at uncertainty at two tiers.

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Big Data: The Technology Behind Retailers Success

Smart Data Collective

Data-based insights can help make the right decisions, keep up with market trends and navigate the uncertainty. Such predictive analytics can help to define what products will spike the biggest interest of the audience. Amazon recommendation engine powered by data analytics generates 35% of all its sales.

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How to Move from Real-Time Data to Real-Time Decisions

CIO Business Intelligence

Hubbard defines measurement as: “A quantitatively expressed reduction of uncertainty based on one or more observations.”. This acknowledges that the purpose of measurement is to reduce uncertainty. And the purpose of reducing uncertainty is to make better decisions. Data creates the context for decision-making.

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What are decision support systems? Sifting data for better business decisions

CIO Business Intelligence

A DSS supports the management, operations, and planning levels of an organization in making better decisions by assessing the significance of uncertainties and the tradeoffs involved in making one decision over another. For example, they could be used to analyze sales in relation to location or weather. Sensitivity analysis models.