LONDON--(BUSINESS WIRE)--Quantzig, a global data analytics and advisory firm that delivers actionable analytics solutions to resolve complex business problems, has announced the completion of its ...

Inaccurate or overlooked alerts on manufacturing data can be reduced with proper data handling when developing and deploying predictive models. Data analytics, and specifically predictive analytics, ...

Predictive analytics enables you to develop mathematical models to help you better understand the variables driving success. Predictive analytics relies on formulas that compare past successes and ...

Erika Glenn, Division Head of Sales, Care Management, CVS Health, addressed some of the latest innovations in predictive modeling and data analytics being leveraged by her organization in the ...

The eventual goal of analytics in any field is to gain insights from historical data to make informed decisions for the future. This is accomplished by taking certain data points, or metrics, and ...

eWeek content and product recommendations are editorially independent. We may make money when you click on links to our partners. Learn More Data modeling comprises the methodologies of creating data ...

Fluctuating patient demand in the midst of a once-in-a-century pandemic made it hard for health systems to manage their finances in 2020. To help turn the financial tide this year, health executives ...

Cryptocurrency, particularly Bitcoin, has become a focal point in the financial landscape, challenging traditional notions of value and exchange. Within this realm, the role of data analytics has ...

The efficient management of hospital resources, particularly in terms of bed utilisation and staff allocation, is increasingly critical in modern healthcare systems. Predictive modelling for hospital ...

Forbes contributors publish independent expert analyses and insights. I write about digital marketing, data and privacy concerns. When it comes to marketing, historical data should always be a driver ...