{"id":599,"date":"2021-08-04T10:26:00","date_gmt":"2021-08-04T10:26:00","guid":{"rendered":"https:\/\/harveydavid.com\/?p=599"},"modified":"2022-06-29T10:42:47","modified_gmt":"2022-06-29T10:42:47","slug":"four-considerations-before-you-build-a-business-intelligence-dashboard","status":"publish","type":"post","link":"https:\/\/harveydavid.com\/four-considerations-before-you-build-a-business-intelligence-dashboard\/","title":{"rendered":"Four considerations before you build a Business Intelligence Dashboard"},"content":{"rendered":"\n<p>But an in-depth analysis of data is only as good as the information you put into it. To ensure that your business intelligence dashboard is a success, you will need to provide it with accurate and useful information; follow these tips for best practices.<br>\u200d<\/p>\n\n\n\n<h4 class=\"wp-block-heading\">Section 1: Set the Stage<\/h4>\n\n\n\n<p>It&#8217;s important to start the process by asking what success would look like; that will help ensure you collect the right data. Too many projects have started off with no one exactly sure why they are making a dashboard. Set the stage early and understand what success will look like.<br>\u200d<\/p>\n\n\n\n<h4 class=\"wp-block-heading\">Section 2: Assess Your Needs<\/h4>\n\n\n\n<p>Business intelligence is all about assessing your needs and figuring out the best way for marketing to help the business grow. So, do your research, talk to as many departments as possible and understand how the dashboard will help marketing, sales, and management make better decisions.<br>\u200d<\/p>\n\n\n\n<h4 class=\"wp-block-heading\">Section 3: Create a Business Intelligence Dashboard<\/h4>\n\n\n\n<p>A Business Intelligence dashboard provides a visual overview of your business&#8217;s performance. They can be built using different tools, but the most popular ones are Microsoft Excel, Tableau, and Google Data Studio.<br>\u200d<\/p>\n\n\n\n<h4 class=\"wp-block-heading\">Section 4: Make the Most of Your Data<\/h4>\n\n\n\n<p>Artificial intelligence (AI) is a technology that&#8217;s been around for a long time. It&#8217;s being used in many different ways in many different industries, but it&#8217;s only recently been applied to business intelligence. By applying AI to BI, you can create predictive analytics that will take the guesswork out of your marketing decisions so that you can make more informed decisions faster and execute more quickly on your decisions.<\/p>\n\n\n\n<p>Takeaway: A well-built business intelligence dashboard is a powerful tool to help you make better decisions, but it&#8217;s important to understand how it works and what data is included.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>But an in-depth analysis of data is only as good as the information you put into it. To ensure that your business intelligence dashboard is a success, you will need to provide it with accurate and useful information; follow these tips for best practices.\u200d Section 1: Set the Stage It&#8217;s important to start the process [&hellip;]<\/p>\n","protected":false},"author":3,"featured_media":567,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"inline_featured_image":false,"footnotes":""},"categories":[1],"tags":[],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v22.1 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Four considerations before you build a Business Intelligence Dashboard | HarveyDavid<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/harveydavid.com\/four-considerations-before-you-build-a-business-intelligence-dashboard\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Four considerations before you build a Business Intelligence Dashboard | HarveyDavid\" \/>\n<meta property=\"og:description\" content=\"But an in-depth analysis of data is only as good as the information you put into it. 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