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Showing posts from January, 2022

6 Tips for connecting with C-Level Executives

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Hearing every pitch or sales pitch is not a problem for businesses nowadays because of the competitive landscape. They want to know what their competitors are doing so they can provide a unique or better product. If you are looking to make heads turn and get your company back on its feet as soon as possible, selling to a CEO, CFO and others big fish can be the way to go. Businesses of smaller size may not be able to afford new solutions for a while, but when they get their hands at the BIG fish- they transform their brand. A good way for sellers to stand apart from other reps is to become experts in understanding the mindset & motivations of CXOs. CXOs are unique and so you must be able to provide the right message at the right time that resonates with them. If you’re having trouble connecting with the decision-makers in your company, don’t worry. In this section and the next few sections I will go over some of the best ways to do that. You can come out on top of these bigger

Best 6 steps for Data Cleaning Strategies

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 There are a lot of ways to obtain data on your new project. The one that should be used in this tutorial is data cleaning. Here’s a quick overview from your instructor to get you started. Regardless of the kind of information you are trying to gather, it’ll always have some effect on your business. The accuracy and quality of that information is important. Information purifying is a way to make sure you're getting the best information possible. It encompasses what's called data cleansing, error correction, and data warehousing. In this process, you can identify any blunders or defilements in your information, fix what needs fixing or erasing that which should not exist, and prepare data sets for use in multiple locations. It's not a straightforward task, but information cleaning should be a mind-boggling incident that you can do manually. While programming should make this process easier, it ultimately comes down to checking & inspecting irregularities of the data in q