모든 스토리

Tableau에서 다양한 맵 스타일을 만들기 위한 팁을 살펴보십시오.

“We want to empower the business to be successful, and we don’t want IT to be a roadblock. As server admins, we can help end users be more successful and make that a seamless process,” said Michael Perillo of Charles Schwab.

How do you explore data? What path do you take from opening a data set to publishing a dashboard? Do you go in a straight line or a squiggly path? This week Tableau’s research team is joining Makeover Monday to help answer those questions.

I didn’t start my career in anything remotely close to this field. No, I went into American Sign Language interpreting and spent a good bit of time with a startup. Somehow, I ended up here. If you’re an oddball like me, this is what I wished I’d heard earlier.

부진한 매출, 높은 비용, 저조한 리소스 활용도의 문제가 있다고 가정해 보겠습니다. 모두에게 익숙한 시나리오이죠? 이러한 문제들을 파악하는 것 자체는 어렵지 않습니다. 사실 어렵지만 중요한 부분은 조치를 취할 수 있도록 문제의 근본 원인을 알아내는 것입니다. 어떻게 해야 할까요? 끊임없이 질문해야 합니다.

We believe people should not be forced down a straight line, but be able to explore the data, chasing hunches, in order to focus on the best articulation of the data. Knowing more about people’s behaviour helps us improve Tableau. We want you to help us by getting involved in a special experiment next week. The research team are joining with Makeover Monday for a special “advanced logging” week. Collecting multiple log files from people all exploring the data set will give us a unique perspective on people’s paths through the data.

The feeder competitions are fierce, but no matter what your current skill level, you, too, can work your way to the Iron Viz stage. And when you do, use these tips to propel you to the top!