Understanding your customers when there’s only a handful isn’t too difficult. But as your company grows and the number of customers expands rapidly, it can be overwhelming to keep up with the change.

Improved interoperability can lead to greater connectivity that produces real-time data to enrich enterprise analytics tools—optimizing prescriptions, and ultimately producing better outcomes. The ...

This ebook, based on the latest ZDNet / TechRepublic special feature, explores how you set up an analytics infrastructure that sees around corners and gives you options to avoid a head-on crash. Read ...

Data analytics help investors analyze investment data for better decision-making. Descriptive, diagnostic, predictive, and prescriptive analytics offer varied insights. Techniques like regression and ...

The role of a marketer has changed dramatically over the past two decades. I’ve seen it firsthand, having led marketing teams at technology companies of varying sizes and stages of maturity, from a ...

Much has been written, and continues to be written, about the virtues of digital transformation, information technology / operational technology (IT/OT) convergence and IIoT. Foundational to why a ...

This content has been selected, created and edited by the Finextra editorial team based upon its relevance and interest to our community. Predictive analytics is a method of data analysis used within ...

Business intelligence (BI) is the only way to make data-driven decisions and ensure the long-term stability of your organization. By definition, BI represents an umbrella term that includes ...

LONDON--(BUSINESS WIRE)--Internet of Things (IoT) has impacted several business processes over the past few years. Its role in the predictive maintenance of vehicles has gained immense popularity due ...

If you’ve attended an edtech conference at any point since 2012, then you’ve likely seen some variant of Gartner’s analytics maturity model. While some fair criticism of the model exists, there are ...