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Over the past year, pick up any paper. Flip to any news channel. Read any news reports. And you’ll notice a common theme. Data. Specifically, all the Data we use to help us determine elections (albeit with less and less accuracy), track pandemic cases, and even measure the health of our businesses. We all know Data is important. But the question is, what Data matters most? If we’re not collecting the right Data, our predictions and forecasting could be skewed. Seven Ways to Help You Make the Most of Your Data Here are a few things to consider when collecting the information needed to make an informed decision. Clarify your goals.Determine who will conduct the analysis once the Data is gathered and what should be expected of the results.Set indicators to help measure your results.Use the same variables as your collaborators. When the CDC, the WHO, and a variety of hospitals and healthcare providers around the world banded together to track pandemic cases, it was important they all used the same variables in their data. Ask the right questions. Determine what it is you need to know and focus your questions to that end.Feedback Offers Insight. In our remote working world, it’s more important than ever to communicate with team members both locally and globally. Offer and accept feedback to improve your data.Secure your data. The above offer best practices and things to keep in mind. But having open Data and Data collaboration offers more than teambuilding. When diverse voices, backgrounds, and ideas gather, we can create more broadly. We find solutions we didn’t see before. Machine Learning, AI, and Sharing Can Move the World Whether we’re sharing Data to improve our city planning infrastructures to such global operations as environmental collaborations, we work better together. Opportunities which allow organisations to share Data can lead to economic, social justice, and environmental solutions the world over. Just like we soak up information to learn, so too, do machines and AI. These systems need data to learn and grow. These learning systems improve with new and updated information. It is a collaborative effort between human and machine. When we ask the right questions, use the same variables as our collaborators, and have clear goals of our desired objectives, these technologies can help us make better, more informed decisions. Data collaboration has shown us what can be accomplished when we have the right information. We gain new perspectives, new ideas, and new ways of doing things to find solutions for challenges we may face. If you’re looking to take your next step in the Data & Analytics industry, we may have a role for you. Take a look at our latest opportunities or get in touch with one of our expert consultants to learn more.
05. November 2020
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