Explore how Insightful computer surveillance software and productivity metrics revolutionize banking efficiency. Learn to optimize operations, enhance customer satisfaction, and manage risks effectively with strategic data insights.

Building a product that wows customers is tough. It’s a whirlwind of ideas, deadlines, and shifting priorities. Ever feel like you’re herding cats instead of building something amazing? The right product management tool can be your secret weapon. But with so many options, choosing one feels like another epic quest. Should you arm yourself with a whole arsenal of specialized tools? Or is there a single mighty platform to conquer it all?

Between workload management, scheduling team resources efficiently, preventing overservicing, and more, operations managers have a lot keeping them busy. Are you still juggling all of that in spreadsheets? Because if so, you deserve better. A capacity planning tool can help you accurately predict project volume, understand utilization and capacity, and optimize resources. Which tool is right for you? We’ve tested some of the top tools and are here to show you the best.

Taking a bold step toward rethinking the modern workplace, the coaching firm Exos, which is based in the United States, has begun a trial of a four-day workweek that will last for a period of six months. The objective of the effort is to reduce the amount of burnout experienced by employees and to raise productivity, all while preserving or even improving the overall performance of the organization.

In 1952, brothers Richard and Maurice McDonald closed their BBQ restaurant for three months to focus on one small aspect of their business: hamburgers. Like many other restaurants at that time, their processes were slow and inefficient. They cooked menu items to order, used non-disposable dishes, and delivered meals via carhops. To cut costs and serve hamburgers faster, the brothers took their crew out to a tennis court.

In the rapidly evolving field of artificial intelligence (AI), it can be tough to distinguish between myth and reality. The challenge intensifies for organizations exploring the use of generative AI in employee-facing applications.