Data and Business Intelligence Glossary Terms

Total Quality Management (TQM)

Total Quality Management, or TQM, is a business philosophy that emphasizes the idea that quality isn’t just the job of one department, but should be a core focus of an entire company. In the world of business intelligence and data analytics, TQM involves using data to continuously improve the quality of products and services. It’s like a commitment to make better stuff, provide better service, and keep getting better at it all the time, no matter how good you already are.

The goal of TQM is to increase customer satisfaction by refining processes and reducing errors. Imagine a company is a big machine with lots of gears and cogs. If every piece is working perfectly and improving over time, the machine runs smoother and products come out better. Companies use data to figure out where there are kinks in the machine and how they can polish each part. They track everything from production processes to employee training, ensuring every aspect of the company is helping to create high-quality products.

What’s cool about TQM is that it’s not a one-time fix; it’s a perpetual cycle of feedback and improvement. By looking at detailed data, businesses can make informed decisions that lead to small changes, which add up to major improvements over time. This can lead to happier customers, fewer costs from returns or wasted materials, and a stronger reputation for quality that stands out in the marketplace.


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