{"id":44169,"date":"2022-08-26T16:04:48","date_gmt":"2022-08-26T13:04:48","guid":{"rendered":"http:\/\/datalabsua.com\/ua\/?p=44169"},"modified":"2024-05-23T11:29:31","modified_gmt":"2024-05-23T08:29:31","slug":"more-possibilities-with-qlik-automl","status":"publish","type":"post","link":"https:\/\/datalabsua.com\/en\/more-possibilities-with-qlik-automl\/","title":{"rendered":"More possibilities with Qlik AutoML"},"content":{"rendered":"<p>Machine learning applications have reached ubiquity (from solving health problems to choosing music or products). Business is also an active user of machine learning tools.<\/p>\n<p>Today, companies, including, which are interested in expanding the capabilities of their teams and specialists who know how to work with data. For example, a BI engineer who participates in the analytics process could develop features, train, automatically select a reliable model and help deploy it without the involvement of data scientists and machine learning. Qlik AutoML helps companies maximize their data and analytics strategy.<\/p>\n<p><strong>Qlik AutoML<\/strong> is an automated machine learning platform designed for analysts to create models, forecasts, and conduct business scenario testing. A simple, no-code user interface makes it easy to work with data by identifying its key drivers, make predictions with a full data understanding, publish and integrate models into Qlik Sense dashboards for interactive analysis.<\/p>\n<p>This tool identifies key drivers of historical data and builds machine learning models using the best algorithms. <strong>Qlik AutoML allows to:<\/strong><\/p>\n<ul>\n<li>Evaluate and rank machine learning models;<\/li>\n<li>Determine the most efficient model for a particular dataset;<\/li>\n<li>Determine the importance of the feature to identify key business drivers;<\/li>\n<li>Easy to customize and improve the model;<\/li>\n<li>Deploy the model to create predictions;<\/li>\n<li>Publish forecast data;<\/li>\n<li>Integrate the model with Qlik Sense for the purpose of detailed analysis;<\/li>\n<li>Test different \u00abwhat if\u00bb scenarios;<\/li>\n<li>Plan decisions and actions.<\/li>\n<\/ul>\n<p><strong>Using Qlik AutoML:<\/strong><\/p>\n<ul>\n<li>Sales (sales funnel, predicting wins and losses, customer churn and retention, customer search, targeting);<\/li>\n<li>Marketing (demand forecasting, customer value indicator, selection of the optimal offer);<\/li>\n<li>Finance (investment optimization, cost management, risk management);<\/li>\n<li>HR (employee retention, employee satisfaction, recruiting, candidate profiling);<\/li>\n<li>IT (software usage, software licensing, infrastructure performance forecast);<\/li>\n<li>Supply chain (inventory management, inventory shortage forecast, supply chain performance, transport optimization);<\/li>\n<li>Support (forecasting calls to the helpdesk, preventive maintenance).<\/li>\n<\/ul>\n<p><em>DataLabs is a Qlik Certified Partner. A high level of team competence and an individual approach allows to find a solution in any situation. You can get additional information by filling out the form at the<\/em><a href=\"https:\/\/datalabsua.com\/en\/contact\/\"><strong><em> link<\/em><\/strong><\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Qlik AutoML is an automated machine learning platform designed for analysts to create models, forecasts, and conduct business scenario testing. A simple, no-code user interface makes it easy to work with data by identifying its key drivers, make predictions with a full data understanding, publish and integrate models into Qlik Sense dashboards for interactive analysis.<\/p>\n","protected":false},"author":2,"featured_media":44864,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[3],"tags":[79,22],"class_list":["post-44169","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-blog","tag-fridaypost","tag-qlik"],"_links":{"self":[{"href":"https:\/\/datalabsua.com\/en\/wp-json\/wp\/v2\/posts\/44169","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/datalabsua.com\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/datalabsua.com\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/datalabsua.com\/en\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/datalabsua.com\/en\/wp-json\/wp\/v2\/comments?post=44169"}],"version-history":[{"count":3,"href":"https:\/\/datalabsua.com\/en\/wp-json\/wp\/v2\/posts\/44169\/revisions"}],"predecessor-version":[{"id":44173,"href":"https:\/\/datalabsua.com\/en\/wp-json\/wp\/v2\/posts\/44169\/revisions\/44173"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/datalabsua.com\/en\/wp-json\/wp\/v2\/media\/44864"}],"wp:attachment":[{"href":"https:\/\/datalabsua.com\/en\/wp-json\/wp\/v2\/media?parent=44169"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/datalabsua.com\/en\/wp-json\/wp\/v2\/categories?post=44169"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/datalabsua.com\/en\/wp-json\/wp\/v2\/tags?post=44169"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}