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How to run your own sales data analysis in 4 easy steps Outline your objectives Identify the sales data you want to analyze Choose a sales data analysis tool to use and analyze your data Interpret your findings and implement any necessary changes 1. needs a goal. Your first step in completing a sales data analysis is outlining your objectives, or what data you want to extract from the analysis. You want to make sure you choose an objective that’s clearly defined and measurable. For example, suppose you’re an ecommerce store. Maybe your objective is to find out which of your products was most popular during the holiday shopping season.
2. Identify the sales data you want to analyze Before you can Chinese Australia Phone Number List start an analysis, you need to choose what data you’re going to analyze. Your objectives and goals that you outlined in the previous step will dictate the data you’ll be using. Going back to our ecommerce example, if you want to know which of your products were most popular during the holidays, you might pull your sales data for your products from November and December. Going further, you could also pull customer behavior data from your website to see what products customers viewed the most. You can gather and organize this data using a sales intelligence platform.
3. Choose a sales data analysis tool to use and analyze your data Now comes the fun part — analyzing your data. There’s plenty of sales analytics software out there, but our favorite is Looker Sales Analytics from Google. looker sales analytics google Looker from Google gives you actionable data insights that can help you prioritize sales opportunities and get dependable sales forecasting based on real-time data. It also integrates with tools you might already be using, like Salesforce. 4. Interpret your findings and implement any necessary changes What did your sales data analysis reveal to you? Go through your findings and interpret any trends or anomalies you notice.
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發表於 2024-3-13 11:37:09
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