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Role of Workforce Analytics in Event Industry

BizAcuity

A growing number of organizations especially in the event management industry or sector are using workforce analytics to examine and act upon data about their people in the workplace. Workforce analytics in Event Industry – Its Relevancy in today’s HR environment.

IBM cost 183
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Real-Time Data in Machine Learning: Challenges and Solutions

Dataversity

In today’s dynamic global marketplace, events outside of our control are constantly making the data we’ve collected erroneous and outdated. There are instances in which real-time decision-making isn’t particularly critical (such as demand forecasting, customer segmentation, and multi-touch attribution).

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The Art and Science of FP&A Storytelling

Timo Elliott

Not just the pandemic, but also global trade tensions, Brexit in Europe, and things like the increasing frequency of extreme weather events. Business people want more data than ever. Third, because everything is changing so fast, real-time access to data is more important than ever.

Planning 348
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Ways Big Data Creates a Better Customer Experience In Fintech

Smart Data Collective

To ensure their customers have a satisfactory experience, financial businesses will use big data analytics to tweak their services across various platforms to suit a customer’s needs. They will also use historical and real-time data to identify possible customer challenges. Better UI/UX based on A/B testing.

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How BI Can Help Enterprises Overcome The Effects Of The Pandemic

Smart Data Collective

The thing is, previously data analytics was based on models that perpetually extended into the future; unfortunately, most of these models have become obsolete in today’s circumstances. Before the pandemic, enterprise managers lived in the illusion that all future events could be predicted. Implementing BI to overcome the crisis.

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How Data and Smart Technology Are Helping Hospitalists

Smart Data Collective

For example, a study published in the Journal of Medical Internet Research found that using electronic prescribing systems can reduce the time doctors spend on paperwork, allowing them to see more patients and improving the efficiency of their practice. Improving Patient Safety.

Big Data 305
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Machine Learning Transforms Life Insurance Beyond the Actuarial Process

Smart Data Collective

With machine learning platforms, which have the advantage of learning from the processing and analysis of large volumes of historical and real-time data, even more use cases are conceivable. Underwriting and risk assessment : Up to now, assessment has been a relatively complex process, depending on the insured event.