A panel of experts discuss how to professionalize the data science discipline.

Process analysis includes analyzing these data and using the results to identify ways to improve customer service. This illustrates the importance of data analysis in process examination.

In the last three decades, business and technology have transformed. Yet, the People Process Technology framework remains a go-to model.

More technology is not the solution for fixing our big data and health IT problems, according to AMIA chief Kevin Fleckenscher. It's people and process.

However, when an organization effectively balances people, process, and technology, it is possible to establish a synergistic framework that fully supports cybersecurity.

Data rarely comes in usable form. Data wrangling and exploratory data analysis are the difference between a good data science model and garbage in, garbage out.

Aera Technology Advances People-Centric Decision Intelligence with Agentic AI Release of New Aera Decision Cloud™ Capabilities Brings AI-Powered Decision-Making to Every User Today at AeraHUB 25 ...

Even for small details like the amount of time interviewees wait for a ride to the airport, the interview experience is fine-tuned based on data.

As the revenue cycle of the future becomes more automated and technology takes over rote tasks, revenue cycle employees need more complicated problem-solving skills and a deeper knowledge base ...