Enter Analytic Process Automation, or APA—a new movement that seeks to solve those problems by upskilling almost anyone to become part of an organization’s engine for analyzing and acting on data.

As a leader in analytic process automation (APA), Alteryx unifies analytics, data science and business process automation in one, end-to-end platform to accelerate digital transformation ...

Applications Big Data and Analytics IT Management The 5 Elements of Intelligent Automation A guide to what companies need to leverage intelligent automation, which greatly improves business ...

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 ...

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 ...

How to integrate robotic process automation in big data projects Your email has been sent Microsoft’s Recent Quantum Claims: Breakthrough or Overreach? How Language AI Can Help Your Business ...

Commentary The Impact of Automated Exploratory Data Analysis in Litigation Speeding up the exploratory data analysis process using flexible automation and consistent reporting allows analysts to ...

And rather than talking about “deploying data science,” we should be calling it “data process automation.” Michael Berthold is CEO and co-founder at KNIME, an open source data analytics ...

Data make up a crucial element in Bioprocessing 4.0. Biomanufacturers must efficiently collect, manage, and analyze this information. Compatibility between devices, data sources, and software ...

Process mining refers to analysis of data to spot inefficiencies. It’s different from the better-known robotic process automation industry, which has to do with automating processes to remove ...