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Oshkosh puts digital solutions into overdrive

CIO Business Intelligence

The approach we use is to develop analytical models based on use cases, with a clear definition of business problems and value. So far, we have deployed roughly 71 models with a clear operating income and impact on the business. I imagine these models have a direct impact on the customer experience. Khare: Yes, they do.

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Oshkosh puts digital solutions into overdrive

CIO Business Intelligence

The approach we use is to develop analytical models based on use cases, with a clear definition of business problems and value. So far, we have deployed roughly 71 models with a clear operating income and impact on the business. I imagine these models have a direct impact on the customer experience. Khare: Yes, they do.

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

CIO Business Intelligence

In the new report, titled “Digital Transformation, Data Architecture, and Legacy Systems,” researchers defined a range of measures of what they summed up as “data architecture coherence.” He specializes in removing fear, uncertainty, and doubt from strategic decision-making through empirical data and market sensing.

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How Skullcandy Uses Predictive and Sentiment Analysis to Understand Customers

Sisense

Mark Hopkins is the Chief Information Officer at Park City, Utah based Skullcandy, leading the global IT, Digital, and Customer Service teams. We fed Kraken (BigSquid’s predictive analytics engine) information about historical warranty costs, claims, forecasts, historical product attributes, and attributes of the new products on the roadmap.

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IT leaders embrace the role of business change maker

CIO Business Intelligence

In contrast, CIOs are uniquely positioned with a cross-functional view of business processes and have a keen understanding of how technology can be leveraged to transform operations — both essential ingredients for marshaling organizational change. Change Management, Digital Transformation, IT Leadership

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Why Analytics Are Essential in Times of Crisis

Sisense

Now is the time to apply the full force of business intelligence used by analytics teams to help navigate growing uncertainty. At RetailZoom , a team of data scientists supplies supermarkets and FMCG companies with predictive models that incorporate transactional and demographic data to determine the size and scope of promotional activities.