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Why HR professionals struggle with big data

CIO Business Intelligence

In addition, they can use statistical methods, algorithms and machine learning to more easily establish correlations and patterns, and thus make predictions about future developments and scenarios. In particular, human resources is still one of the least data-driven areas of a company, and potential is often not fully exploited.

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PODCAST: COVID19 | Redefining Digital Enterprises – Episode 9: The Impact of COVID-19 on Consumer Technology & Durables

bridgei2i

He’s an expert in supporting hi-tech, e-commerce, & consumer durables clients in CRM, marketing, omnichannel customer experience, pre-sale analytics, and web analytics. Stat) in Statistics from the Indian Statistical Institute. Suvodip holds a Master’s Degree (M.

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PODCAST: COVID19 | Redefining Digital Enterprises – Episode 6: The Impact of COVID-19 on Supply Chain Management

bridgei2i

In the twelve-year bull run that preceded this crisis with short secular uptrends; statistical forecasting models could not really be differentiated from high powered causal machine learning models. You know, one other advice I would give is to really forecast better, right. And I’m specifically talking about demand forecasting here.

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AI The Super Power That’s Propelling Enterprises

bridgei2i

People Analytics can be the stepping stone to Empowering Employees. Logistics Manager claims that the European retailer HEMA has introduced a sophisticated machine learning algorithm to detail background statistical work in its retail supply chain. Don’t believe us? See for yourself! Fine-tuning business planning.

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The Super Power That’s Propelling Enterprises

bridgei2i

People Analytics can be the stepping stone to Empowering Employees. Logistics Manager claims that the European retailer HEMA has introduced a sophisticated machine learning algorithm to detail background statistical work in its retail supply chain. Don’t believe us? See for yourself! Fine-tuning business planning.