![]() ![]() ![]() The finance team wants to identify cost-saving opportunities by analyzing team expenses data.Your goals will vary depending on what team you’re on, the data you’re collecting, and your role within the business: If you don’t have a clear idea of what you’re looking for, you’ll just spend hours staring at a spreadsheet or scrolling through countless support tickets, waiting for that lightbulb moment. Define your goalsīefore you start analyzing your data, you need to set some clear objectives. Instead, we’ve put together this guide to help you master some basic data analysis skills – from cleaning data, choosing the right analysis tools, and analyzing patterns and trends to be able to draw accurate conclusions and actionable insights. You don’t need to be a “numbers person,” have an advanced degree in statistics, or sit through hours of in-depth training modules to understand how to analyze data. If employees understand how to analyze different types of data, the company will be able to make better use of the information it collects.įortunately, data analysis is a skill you can learn. The same survey found that 76% of executives believe training current employees in data science will help solve their company’s dark data problem. Or, the data sits there because the team doesn’t know how to analyze it. Sometimes a company won’t even know that it has collected the information. A global survey by Splunk found that 55% of all data collected by businesses is “dark data”: information that is collected but never used. Unfortunately, many companies today struggle with data organization and analysis. ![]() Whether you’re a marketer analyzing the return on investment of your latest campaign or a product manager reviewing usage data, the ability to identify and explore trends and fluctuations in your data is an essential skill for decision-making. Data analysis is critical for all employees, no matter what department or role you work in. ![]()
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