Nobody needs to be told that data is becoming more complex. Every user realises that all forms of information are becoming richer, faster and more fine-grained. These truths of course mean that ...

The Cross-Industry Standard Process for Data Mining, better known as CRISP-DM, has been around for more than a decade, and it’s by far the most widely-used analytics process standard.

The total volume of data in the world has grown exponentially in recent years. We explore the developments behind this ...

Speeding up the exploratory data analysis process using flexible automation and consistent reporting allows analysts to deliver analyses quickly while ensuring precise, accurate results.

Tsunami earthquakes are characterized by the generation of disproportionately large tsunamis relative to the observed ground shaking, complicating timely evacuation efforts. Understanding their ...

AI data analytics software can process and analyze massive and complex datasets. The tools can handle structured, unstructured, and semi-structured data, extracting insights and patterns from ...

Analytic Process Automation: Behind a New Data Analytics Movement Every industry face challenges when it comes to gender disparity.

Learn how Boolean logic and Excel's logical functions can streamline workflows, enhance efficiency, and tackle complex data challenges.

November/December 2016 Smarter access to analytics for process engineers Smarter access to analytics for process engineers By Bert Baeck Automation Summary Pattern recognition software leverages ...

GUEST OPINION: Big data analytics has become an increasingly crucial tool for businesses looking to gain a competitive edge and make informed decisions. But with large volumes of data to manage ...