raw may not always be the best with which to work. Even though many editing features are available on the market, not all give a straightforward solution. We designed DocHub to make editing effortless, no matter the document format. With DocHub, you can quickly and effortlessly clear up id in raw. Additionally, DocHub gives a range of additional tools including document creation, automation and management, field-compliant eSignature solutions, and integrations.
DocHub also lets you save effort by creating document templates from paperwork that you use regularly. Additionally, you can take advantage of our a lot of integrations that enable you to connect our editor to your most used programs effortlessly. Such a solution makes it quick and easy to work with your files without any slowdowns.
DocHub is a handy tool for personal and corporate use. Not only does it give a all-encompassing collection of capabilities for document creation and editing, and eSignature implementation, but it also has a range of features that prove useful for producing complex and simple workflows. Anything imported to our editor is kept secure according to leading industry criteria that shield users' data.
Make DocHub your go-to choice and simplify your document-based workflows effortlessly!
Today, letamp;#39;s talk about a very useful Excel tool that will help you clean up your data. Now, this is especially helpful if you work in accounting because, as an accountant, you probably find yourself downloading data from other systems like SAP, Oracle, and the like, and you need to clean these up to be able to prepare your reports. So, the tool that Iamp;#39;m going to show you is like a magic box; it can do a lot and it doesnamp;#39;t require that much effort from you. I thought the best way of introducing this to you is with practical examples, so letamp;#39;s get to it. Letamp;#39;s take a look at the data that we need to import into Excel and analyze. We have an SAP extract which comes from our European entity; itamp;#39;s the income statement. But take a look at this: our numbers are all over the place; theyamp;#39;re not even recognized as numbers because the data is coming from Europe. Itamp;#39;s using a dot for the thousand separator a