All analytics practice, whether you prefer to call it statistics, data science, data mining, or by any other name, needs good process to ensure that results are relevant to real business problems ...

Testing the data analytics pipelines is analogous to W. Edwards Deming’s pioneering work in manufacturing statistical process control. The data industry uses the term DataOps when applying these ...

Incorporating GenAI into the data analytics process entails different phases, each of which is significant to guaranteeing the effective deployment of AI to extract meaningful insights from data.

As data continues to grow in volume and complexity, adopting such analytics software is key for maintaining a competitive edge in any industry. Here are eight of the best big data analytics tools.

Dec. 8 — Celonis today announced it has launched the industry’s first enterprise-class, big data analytics process mining platform fueled by artificial intelligence (AI) and machine learning. The ...

Datameer: Best for Snowflake data Image: Datameer Datameer is a software-as-a-service data preparation and analytics platform that runs on Snowflake. It’s designed for business users, data ...

Schneider Downs, meanwhile, has a dedicated Automation and Data Analytics Process Team that goes by the acronym ADAPT and evaluates automation opportunities. “We have a dedicated group of people who ...

When you choose to pursue these degrees, you aren't limited by positions. Related fields, such as data science, data mining and data architecture, use similar strategies that could benefit from a ...

Data analytics experts use computer code that can be deployed on any data set, speeding up the EDA process and enhancing efficiency without sacrificing precision.

Introduction to bioprocess data analytics: opportunities, types of data analytics problems; supervised, unsupervised, and partially supervised learning; data visualization (software tools using data ...