Explore the impact of process mining on workflow dynamics and operational efficiency. Learn how the data science technique uncovers workflow mysteries and empowers businesses to make data-driven improvements.

For Jana Beiswenger, Head of Business Program Management at Asana, work intake is hugely cross-functional. Her team focuses on business transformation—in other words, making Asana a more effective organization. To do that she needs to align teams around the right strategic programs and ensure Asana has enough resources to achieve business-critical goals. “My role is about creating the right focus holistically so we can execute as a team.

If you’re a manager using Aircall to power your call center operation, you’ll be no stranger to data. Between Aircall’s own live view of the queue, call Analytics and Analytics+ , there are a whole host of ways to analyse the performance of your sales or support team natively in Aircall. But chances are Aircall data isn't the only data you might need to monitor day-to-day.

Discover how process mining tools can analyze data to streamline operations, maximize efficiency, and revolutionize your business workflows.

Careful planning and organization are the not-so-secret sauces behind any successful project. To avoid chaos, confusion, and rework, you need to know what’s happening, who’s doing it, and when it needs to be done. But to plan a winning project, it’s not enough to know the what, who, and when. You also need to understand the how. That’s where your project workflow comes into play.

The difference may sound subtle, but it can cause unrecoverable damage to organizations. Triggered by intentional (or unintentional) employee behavior, insider risk puts business data integrity at stake, while insider threat happens when the data at risk gets exposed to some unauthorized entity. Both cases pose challenges to workplace compliance and operational efficiency.

The effects of the shift toward remote and hybrid work arrangements are being felt well outside the walls of office buildings. The Federal Reserve Bank of Kansas City conducted a thorough investigation to shed light on these changing dynamics. The analysis reveals that enterprises that historically thrived on the hustle and bustle of office life may face unforeseen obstacles in the future of employment.

Generative AI has emerged as a significant player in an era of rapidly evolving technology, offering unheard-of increases in productivity across a wide range of industries. However, there are hazards associated with this innovation, especially with “Shadow AI,” when employees utilize ChatGPT and other generative AI technologies in ways that can violate business data security laws.

Workplace injuries are a significant concern for both employees and employers across various industries. They can result in considerable physical, emotional, and financial strain. According to the Bureau of Labor Statistics, millions of nonfatal workplace injuries occur every year, with a fraction leading to time away from work. The nature and frequency of these injuries vary, but there are several types that are consistently reported as the most common.

People often think the law industry doesn't like new technology. But, legal tech (technology made for law) has started to change this view in recent years. B2B tech products appeared to change lawyers' perceptions about productivity, streamlined processes, and client outcomes. How exactly is technology helping lawyers improve their work? Let's figure it out.