3 Steps for Better Data Modeling With IT, Data Scientists and Business Analysts Your email has been sent Data analysts can help build accessible and effective data models by defining business ...

Occasionally one may hear that a data model is “over-normalized,” but just what does that mean? Normalization is intended to analyze the functional dependencies across a set of data. The goal is to ...

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 ...

As more organizations embrace big data and analytics to gain insight from extremely large datasets, the tools and systems used to manage data have grown, changed, and mul­tiplied. Instead of just ...

Data modeling is the procedure of crafting a visual representation of an entire information system or portions of it in order to convey connections between data points and structures. The objective is ...

Forbes contributors publish independent expert analyses and insights. I write about how to drive more value with data and analytics. Most organizations have invested heavily in using data to enhance ...

Without context, manufacturing data is worthless. Here's what to consider to turn digital junkyards into gold nugget insights.

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 ...