When you edit files in different formats day-to-day, the universality of your document tools matters a lot. If your tools work with only a few of the popular formats, you might find yourself switching between application windows to clean data in GDOC and manage other document formats. If you want to remove the headache of document editing, go for a platform that will easily manage any format.
With DocHub, you do not need to concentrate on anything but actual document editing. You will not need to juggle applications to work with different formats. It can help you modify your GDOC as easily as any other format. Create GDOC documents, modify, and share them in a single online editing platform that saves you time and boosts your productivity. All you have to do is sign up a free account at DocHub, which takes just a few minutes or so.
You will not have to become an editing multitasker with DocHub. Its feature set is sufficient for fast document editing, regardless of the format you want to revise. Begin with registering a free account and see how effortless document management may be having a tool designed specifically to meet your needs.
TONY: This video is part of the Google Data Analytics certificate, providing you with job ready skills to start or advance your career in data analytics. Get access to practice exercises, quizzes, discussion forums, job search help, and more on Coursera and you can earn your official certificate. Visit grow.google/datacert to enroll in the full learning experience today. [MUSIC PLAYING] SPEAKER: Can you guess what inaccurate or bad data costs businesses every year? Thousands of dollars, millions, billions? Well, according to IBM, the yearly cost of poor quality data is $3.1 trillion in the US alone. Thats a lot of zeros. Now can you guess the number one cause of poor quality data? Its not a new system implementation or a computer technical glitch. The most common factor is actually human error. Heres a spreadsheet from a law office. It shows customers, the legal services they bought, the service order number, how much they paid, and the payment method. Dirty data can be the result