Data and tons of data are found at the core of any organization’s success or failure. Businesses are going with all guns to create a better position in the marketplace by understanding their customer ...

Data mining is the automated process of sorting through huge data sets to identify trends and patterns and establish relationships. Organizations today are gathering ever-growing volumes of ...

Forbes contributors publish independent expert analyses and insights. David Henkin helps organizations and individuals innovate and grow. Predictive analytics has evolved from a niche discipline into ...

So what's next? What's next is what's next--the ability to forecast where events are heading, then make informed decisions based on that assessment. Predictive analytics, the scientific name for using ...

In organizational leadership, staying ahead requires more than just a glance into historical data; it demands a predictive prowess that anticipates future trends and allows leaders to test hypotheses ...

eSpeaks’ Corey Noles talks with Rob Israch, President of Tipalti, about what it means to lead with Global-First Finance and how companies can build scalable, compliant operations in an increasingly ...

eSpeaks’ Corey Noles talks with Rob Israch, President of Tipalti, about what it means to lead with Global-First Finance and how companies can build scalable, compliant operations in an increasingly ...

1. What is predictive analytics? Predictive analytics is a method of using data to make predictions about future events or behavior. It can be used in a number of different fields, including marketing ...

Data is said to be the gold of the 21st century, but is that true? Even with trillions of lines of data in your database, you won’t be mining any gold – unless you understand what the data means. Here ...

Predictive analytics in financial forecasting analyzes past and present data to improve the accuracy of planning and budgeting. Historically, accountants have depended on manual spreadsheet analysis ...

Big data is a term that has been around for many years. The list of applications for big data are endless, but the process stays the same: capture, process and analyze. With new, enabling verification ...