[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"nav-categories":3,"article-leveraging-data-analytics-for-improved-test-automation-efficiency":70},{"data":4},[5,37,57,64],{"name":6,"slug":7,"categories":8},"Productivity","productivity",[9,13,17,21,25,29,33],{"id":10,"title":11,"slug":12},17,"Branding","branding",{"id":14,"title":15,"slug":16},19,"Marketing","marketing",{"id":18,"title":19,"slug":20},20,"Work","work",{"id":22,"title":23,"slug":24},34,"Community","community",{"id":26,"title":27,"slug":28},21,"For newbies","for-newbies",{"id":30,"title":31,"slug":32},24,"Investment","investment",{"id":34,"title":35,"slug":36},22,"Finance","finance",{"name":38,"slug":39,"categories":40},"Tech","tech",[41,45,49,53],{"id":42,"title":43,"slug":44},28,"Technology","technology",{"id":46,"title":47,"slug":48},32,"Artificial Intelligence","artificial-intelligence",{"id":50,"title":51,"slug":52},26,"Security and protection","security-and-protection",{"id":54,"title":55,"slug":56},31,"YouTube Blog","youtube-blog",{"name":58,"slug":59,"categories":60},"News","news",[61],{"id":62,"title":58,"slug":63},18,"quasanews",{"name":65,"slug":66,"categories":67},"Business","business",[68],{"id":69,"title":65,"slug":66},16,{"post":71,"published_news":96,"popular_news":160,"categories":230},{"title":72,"description":73,"meta_title":72,"meta_description":73,"meta_keywords":74,"text":75,"slug":76,"created_at":77,"publish_at":77,"formatted_created_at":78,"category_id":69,"links":79,"view_type":84,"video_url":85,"views":86,"likes":87,"lang":88,"comments_count":89,"category":90},"Leveraging Data Analytics for Improved Test Automation Efficiency","Discover how data analytics can boost test automation efficiency. Learn about key metrics, techniques, and best practices to optimize testing workflows and enhance software quality.","Data analytics, business products, test automation, test coverage, Cost Reduction, improves test prioritization, Test Maintenance Effort","\u003Cp>Hello!\u003C/p>\n\n\u003Cp>Delivering business-to-business products of superior quality at fast and efficient speed throws the businesses hard in their quest for newer and improvement results. There are much importance to testing, with test automation itself being a significant part of the software development lifecycle with an emphasis placed on increasing the speed and consistency of testing.\u003C/p>\n\n\u003Cp>However, the implementation of test automation is itself not enough to attain prime efficiency on its own. Data analytics can create crucial implications for optimizing test automation-that is, making it smarter, faster, and more effective. The data-driven insight helps the companies understand where they can bottleneck and improve their test coverage so that they may forever improve their workflows.\u003Cbr />\nThis article will explore how leveraging data analytics can improve efficiency in test automation; it discusses key metrics, methods, and best practices for getting the most out of your testing processes.\u003C/p>\n\n\u003Chr />\n\u003Ch4>\u003Cstrong>The Importance of Data Analytics in Test Automation\u003C/strong>\u003C/h4>\n\n\u003Chr />\n\u003Cp>Data analytics is analysis of data sets with the objective of extracting meaningful insights from them and supporting various decisions. The context of data analytics in the view of test automation will give important information about test performance, test coverage, defect detection, among others that teams can rely on while making informed decisions in optimizing test strategies and eliminating costs of unnecessary testing at their expense.\u003C/p>\n\n\u003Cp>\u003Cstrong>Here are a few ways in which data analytics can benefit test automation\u003C/strong>:\u003C/p>\n\n\u003Cul>\n\t\u003Cli>\u003Cstrong>Improved Test Coverage:\u003C/strong> Analytics can highlight areas of inadequate test coverage so that the teams focus on high-risk sections of the application.\u003C/li>\n\t\u003Cli>\u003Cstrong>It improves test prioritization\u003C/strong>. Insights into data allow prioritizing test cases based on the failure rates of the critical area, thereby achieving maximum spread of testing.\u003C/li>\n\t\u003Cli>\u003Cstrong>Cost Reduction:\u003C/strong> such data analytics will optimize the test coverage and will focus on the high-impact areas, hence saving the undeserved testing time and resources, thus being a method to reduce costs.\u003C/li>\n\t\u003Cli>\u003Cstrong>Faster Resolution of Defects:\u003C/strong> Analytics can quickly identify patterns for defects, and based on the findings, teams can respond faster to the issues and thereby improve the software quality.\u003C/li>\n\u003C/ul>\n\n\u003Chr />\n\u003Ch4>\u003Cstrong>Key Metrics to Track for Test Automation Efficiency\u003C/strong>\u003C/h4>\n\n\u003Chr />\n\u003Cp>To effectively use data analytics in test automation, it’s important to track the right metrics. Here are some key metrics that can provide actionable insights into test automation efficiency:\u003C/p>\n\n\u003Cp>\u003Cstrong>1. Test Coverage\u003C/strong>\u003C/p>\n\n\u003Chr />\n\u003Cp>It is measured as a percentage of code or features covered by automated tests. Low test coverage indicates that high-risk areas where defects may sneak in without being detected. Coverage data analysis will help identify gaps in testing strategy, and thus teams can concentrate more on significant areas without adequately covered test cases.\u003C/p>\n\n\u003Chr />\n\u003Cp>\u003Cstrong>2. Test Execution Time\u003C/strong>\u003C/p>\n\n\u003Chr />\n\u003Cp>Execution time is the time consumed by automated tests in executing. The monitoring of test execution time helps reveal slow or inefficient tests that teams would be able to optimize scripts or even refactor tests in an attempt to find a reduction in delays about executions. Lesser execution time means quicker feedback loops, resulting in an increase in productivity and efficiency.\u003C/p>\n\n\u003Chr />\n\u003Cp>\u003Cstrong>3. Test Case Failure Rate\u003C/strong>\u003C/p>\n\n\u003Chr />\n\u003Cp>Test case failure rate- It is the ratio of the number of failed test cases to the total number of test cases in a run. If a considerable number of failures occurs, it may be the sign of flaky tests or the need for greater concentration in more areas of application. Thus, analyzing such data helps the teams decide which tests cannot be relied upon or which defects frequently recur and need to be rectified.\u003C/p>\n\n\u003Chr />\n\u003Cp>\u003Cstrong>4. Defect Detection Rate\u003C/strong>\u003C/p>\n\n\u003Chr />\n\u003Cp>Rate of defect detection This measures the test suite's efficiency at detecting defects before the deployment of the software. A high defect detection rate supports a healthy and effective testing strategy; otherwise, the deficiency could be that critical defects are slipping through. This metric helps in gauging the quality and reliability of the test cases developed.\u003C/p>\n\n\u003Chr />\n\u003Cp>\u003Cstrong>5. Test Maintenance Effort\u003C/strong>\u003C/p>\n\n\u003Chr />\n\u003Cp>Test maintenance effort is the time and resources required to maintain the updated automated test script. It is used to analyze the cost of maintaining a team's test suite and also helps point out troublesome scripts, which tend to require frequent updates. Once such problematic tests are identified, the teams can optimize those areas of their testing process to develop stable, reusable scripts with minimal maintenance efforts as well as lower maintenance costs over time.\u003C/p>\n\n\u003Chr />\n\u003Ch4>\u003Cstrong>Techniques for Leveraging Data Analytics in Test Automation\u003C/strong>\u003C/h4>\n\n\u003Chr />\n\u003Cp>To enhance test automation efficiency using data analytics, consider implementing the following techniques:\u003C/p>\n\n\u003Chr />\n\u003Cp>\u003Cstrong>1. Risk-Based Testing with Data-Driven Prioritization\u003C/strong>\u003C/p>\n\n\u003Chr />\n\u003Cp>Risk-based testing focuses on prioritizing test cases based on the likelihood of failure and the probability of impact that would lead to failures in the application. According to the historical data of actual test runs, high failure-prone areas were identified and prioritized accordingly. This ensures that limited resources of testing are focused on risk-based areas, thereby reducing the chances of reaching the production environment with critical defects.\u003C/p>\n\n\u003Chr />\n\u003Cp>\u003Cstrong>2. Identifying Flaky Tests and Improving Test Stability\u003C/strong>\u003C/p>\n\n\u003Chr />\n\u003Cp>A set of tests that sometimes pass and sometimes fail refers to them. They often fail due to timing issues, dependencies, and unstable test environments. Analyzing the data collected from test execution makes discovery of flaky tests possible, thus allowing teams to explore the roots of these flaky tests. It leads to improvement in the reliability of the test suite since test results are more accurate and reliable.\u003C/p>\n\n\u003Chr />\n\u003Cp>\u003Cstrong>3. Applying Machine Learning for Predictive Testing\u003C/strong>\u003C/p>\n\n\u003Chr />\n\u003Cp>An effective learning model can be trained to predict the likelihood of test case failure with the help of past test data. This technique is known as predictive testing where teams can proactively identify areas of the application that are likely to fail thus preventing defects before they occur. Predictive analytics can ensure that development teams continuously boost the efficiency of their test automation by targeting high-risk areas.\u003C/p>\n\n\u003Chr />\n\u003Cp>\u003Cstrong>4. Optimizing Regression Testing Using Analytics\u003C/strong>\u003C/p>\n\n\u003Chr />\n\u003Cp>Regression testing - Confirms whether recently developed code has not impacted any already functional features negatively. Analysis of historical data from previous regression testing could provide insights into failure patterns in some application regions. If teams focused regression tests on frequently failing regions, then they would have eliminated the entire scope of regression testing and saved much time while all critical features of an application remained unaffected.\u003C/p>\n\n\u003Chr />\n\u003Cp>\u003Cstrong>5. Test Data Management and Analysis\u003C/strong>\u003C/p>\n\n\u003Chr />\n\u003Cp>Managing test data effectively is one of the key tasks in effective testing. Analyzing test data usage and how it was created and stored ensures that data generation processes are streamlined, unnecessary duplication is detected, and test data adequately depicts real-world scenarios. It reduces the time spent on data-related work and further increases the efficiency with which tests are being run.\u003C/p>\n\n\u003Chr />\n\u003Ch4>\u003Cstrong>Best Practices for Using Data Analytics to Optimize Test Automation\u003C/strong>\u003C/h4>\n\n\u003Chr />\n\u003Cp>To fully leverage data analytics in test automation, it’s essential to adopt best practices that ensure the reliability and relevance of analytics insights. Here are some best practices to consider:\u003C/p>\n\n\u003Chr />\n\u003Cp>\u003Cstrong>1. Automate Data Collection and Reporting\u003C/strong>\u003C/p>\n\n\u003Chr />\n\u003Cp>Since the test metrics are collected and reported automatically, less effort is required on the manual side and can come across the right time with the right information. Most test automation tools provide dashboards with key metrics, similar to test automation tools. This automatic reporting approach that a tool offers allows teams to get immediate feedback on the stage they are at and how easy it is to track their progress and data-driven adjustments.\u003C/p>\n\n\u003Chr />\n\u003Cp>\u003Cstrong>2. Establish a Baseline for Metrics\u003C/strong>\u003C/p>\n\n\u003Chr />\n\u003Cp>They will create baselines for the majority of key metrics, such as test coverage and execution time; those baselines will then be used by teams to follow improvements and even measure changes to the testing strategy. Baseline metrics also make it easier to spot unusual deviations that may indicate some issues within the test suite.\u003C/p>\n\n\u003Chr />\n\u003Cp>\u003Cstrong>3. Regularly Review and Update Analytics Strategies\u003C/strong>\u003C/p>\n\n\u003Chr />\n\u003Cp>Over time, changing applications also change testing needs. Periodic review and analytics strategy up-gradation will help the strategies remain aligned with the need of the application. Keeping analytics in tandem with the development lifecycle will help the teams adjust their strategies based on constantly changing needs and optimize continuous test automation.\u003C/p>\n\n\u003Chr />\n\u003Cp>\u003Cstrong>4. Integrate Analytics with CI/CD Pipelines\u003C/strong>\u003C/p>\n\n\u003Chr />\n\u003Cp>Integrating data analytics with CI/CD pipelines enables continuous monitoring of test performance, defect rates, and other metrics. This integration ensures that test automation is aligned with development cycles, allowing teams to identify and address issues early. With analytics-driven CI/CD integration, teams can continuously monitor test automation efficiency, preventing bottlenecks and improving overall productivity.\u003C/p>\n\n\u003Chr />\n\u003Cp>\u003Cstrong>5. Foster a Data-Driven Culture\u003C/strong>\u003C/p>\n\n\u003Chr />\n\u003Cp>Using data analytics and CI/CD in unison enables teams to track test performance, defect rates, and other metrics over time. This also ensures that test automation cycles are not out of step with development cycles, allowing for early detection and resolution of problems. CI/CD with analytics integration will help teams monitor the efficiency of their test automation continuously and prevent bottlenecks.\u003C/p>\n\n\u003Chr />\n\u003Ch4>\u003Cstrong>Tools for Data-Driven Test Automation\u003C/strong>\u003C/h4>\n\n\u003Chr />\n\u003Cp>Selection of the right tools for data-driven test automation will impact efficiency significantly and cost-effectiveness.\u003C/p>\n\n\u003Cp>\u003Cstrong>Here's some of the popular tools that support analytics and reporting in test automation:\u003C/strong>\u003C/p>\n\n\u003Cul>\n\t\u003Cli>\u003Cstrong>Jenkins:\u003C/strong> Jenkins is a continuous integration tool integrates well with various test automation tools such that the getting of data-driven insights is possible within CI/CD pipelines\u003C/li>\n\t\u003Cli>\u003Cstrong>Selenium:\u003C/strong> Selenium is an open source automation tool often used for web application. It integrates data analytics platforms to measure metrics such as test run time and test coverage.\u003C/li>\n\t\u003Cli>\u003Cstrong>testRigor:\u003C/strong> \u003Ca href=\"https://testrigor.com/\">testRigor\u003C/a> is an AI-powered test automation tool that supports natural language test scripts and provides detailed analytics on test performance. Its AI capabilities help identify flaky tests and automate test maintenance, further enhancing test efficiency.\u003C/li>\n\t\u003Cli>\u003Cstrong>Katalon Studio:\u003C/strong> Katalon Studio application also has analytics and reporting, so you can track your test runs and execution. This can include the amount of time that your test takes, how many defects you detect, and much more.\u003C/li>\n\t\u003Cli>\u003Cstrong>TestRail:\u003C/strong> TestRail is a test management tool for teams, with analytics so a team can see at a glance what they've covered and what the defect rate is between runs.\u003C/li>\n\u003C/ul>\n\n\u003Chr />\n\u003Ch4>\u003Cstrong>Case Study: Data Analytics for Efficient Test Automation\u003C/strong>\u003C/h4>\n\n\u003Chr />\n\u003Cp>Suppose an ecommerce application is so large and there is a need to update or deploy it frequently. So, the updates are in the application with new features where each feature is tested thoroughly for functionality and performance.\u003C/p>\n\n\u003Cp>\u003Cstrong>The analytics-based test automation strategy would be working well to support the team in this activity:\u003C/strong>\u003C/p>\n\n\u003Cul>\n\t\u003Cli>\u003Cstrong>Prioritize High-Risk Areas:\u003C/strong> The analytics data shows that certain features, such as the shopping cart and payment system, are prone to failure after updates. The team focuses on automating tests for these high-risk areas to prevent critical bugs from reaching production.\u003C/li>\n\t\u003Cli>\u003Cstrong>Optimize Regression Testing Scope:\u003C/strong> The team uses historical data to identify low-risk areas of the application and minimizes regression tests in these areas, reducing test execution time.\u003C/li>\n\t\u003Cli>\u003Cstrong>Monitor and Improve Test Stability: \u003C/strong>Analytics reveal that a set of tests frequently fails due to dependencies on external services. By identifying these tests, the team can implement mock services for testing, improving test stability and reliability.\u003C/li>\n\u003C/ul>\n\n\u003Chr />\n\u003Ch3>\u003Cstrong>Conclusion\u003C/strong>\u003C/h3>\n\n\u003Chr />\n\u003Cp>Data analytics has a transformative effect on test automation efficiency. By optimizing test coverage, teams can make critical tests timely and cost-cutting testing also by tracking key metrics and applying predictive analytics and using data to inform.\u003C/p>\n\n\u003Cp>Also read:\u003C/p>\n\n\u003Cul>\n\t\u003Cli>\u003Ca href=\"https://quasa.io/media/top-hypothetical-technologies-witnessed-at-ces-2023\">Top Hypothetical Technologies Witnessed At CES 2023\u003C/a>\u003C/li>\n\t\u003Cli>\u003Ca href=\"https://quasa.io/media/top-6-health-tech-startups-to-look-out-in-2025\">Top 6 Health Tech Startups to look out in 2025\u003C/a>\u003C/li>\n\t\u003Cli>\u003Ca href=\"https://quasa.io/media/top-15-remote-engagement-tips-from-hr-expertss\">Top 15 Remote Engagement Tips from HR Experts\u003C/a>\u003C/li>\n\u003C/ul>\n\n\u003Cp>Thank you!\u003C/p>","leveraging-data-analytics-for-improved-test-automation-efficiency","2024-11-14T12:18:07.000000Z","14.11.2024",{"image":80,"image_webp":81,"thumb":82,"thumb_webp":83},"https://cdn.quasa.io/images/news/Wf6XZQ8KtgA4bSTCkdB8IGaJ6eE363f2WvtAcT22.jpg","https://cdn.quasa.io/images/news/Wf6XZQ8KtgA4bSTCkdB8IGaJ6eE363f2WvtAcT22.webp","https://cdn.quasa.io/thumbs/news-thumb/images/news/Wf6XZQ8KtgA4bSTCkdB8IGaJ6eE363f2WvtAcT22.jpg","https://cdn.quasa.io/thumbs/news-thumb/images/news/Wf6XZQ8KtgA4bSTCkdB8IGaJ6eE363f2WvtAcT22.webp","large",null,1226,3,"en",0,{"id":69,"title":65,"slug":66,"meta_title":91,"meta_description":92,"meta_keywords":93,"deleted_at":85,"created_at":94,"updated_at":95,"lang":88},"Quasa Media - Growth Hacking in Business","Business is a battlefield. In QUASA MEDIA you will find all the most useful articles on how to do business and not screw up.","Business, earn money, business strategy, business process","2021-08-03T10:59:17.000000Z","2024-08-25T15:45:11.000000Z",[97,112,123,134,147],{"title":98,"description":99,"slug":100,"created_at":101,"publish_at":101,"formatted_created_at":102,"category":103,"links":104,"view_type":109,"video_url":85,"views":110,"likes":89,"lang":88,"comments_count":89,"is_pinned":111},"Cloudflare Just Made Email a First-Class Citizen for AI Agents — And Traditional Email Services Are Feeling It","On April 17, 2026, Cloudflare quietly turned a long-standing dream into reality: it moved Email Service into public beta and added full Email Sending alongside the years-old Email Routing.","cloudflare-just-made-email-a-first-class-citizen-for-ai-agents-and-traditional-email-services-are-feeling-it","2026-04-19T18:41:05.000000Z","19.04.2026",{"title":43,"slug":44},{"image":105,"image_webp":106,"thumb":107,"thumb_webp":108},"https://cdn.quasa.io/images/news/BL8rqDdPh380Xfk5TP00aXBFWdOVXI5BUQ1TuSaC.jpg","https://cdn.quasa.io/images/news/BL8rqDdPh380Xfk5TP00aXBFWdOVXI5BUQ1TuSaC.webp","https://cdn.quasa.io/thumbs/news-thumb/images/news/BL8rqDdPh380Xfk5TP00aXBFWdOVXI5BUQ1TuSaC.jpg","https://cdn.quasa.io/thumbs/news-thumb/images/news/BL8rqDdPh380Xfk5TP00aXBFWdOVXI5BUQ1TuSaC.webp","small",8,false,{"title":113,"description":114,"slug":115,"created_at":116,"publish_at":116,"formatted_created_at":102,"category":117,"links":118,"view_type":109,"video_url":85,"views":30,"likes":89,"lang":88,"comments_count":89,"is_pinned":111},"Mozilla Nails It: Thunderbolt Brings “ChatGPT at Home” to the Enterprise — Without Vendor Lock-In","While OpenAI and Anthropic race to sell their proprietary AI platforms to big corporations, Mozilla’s subsidiary MZLA Technologies has taken a very different route.","mozilla-nails-it-thunderbolt-brings-chatgpt-at-home-to-the-enterprise-without-vendor-lock-in","2026-04-19T15:37:27.000000Z",{"title":58,"slug":63},{"image":119,"image_webp":120,"thumb":121,"thumb_webp":122},"https://cdn.quasa.io/images/news/qaAODXSpJy6qpJc0eO9DQ2Y6ccJR1tlL5i3mN0kV.jpg","https://cdn.quasa.io/images/news/qaAODXSpJy6qpJc0eO9DQ2Y6ccJR1tlL5i3mN0kV.webp","https://cdn.quasa.io/thumbs/news-thumb/images/news/qaAODXSpJy6qpJc0eO9DQ2Y6ccJR1tlL5i3mN0kV.jpg","https://cdn.quasa.io/thumbs/news-thumb/images/news/qaAODXSpJy6qpJc0eO9DQ2Y6ccJR1tlL5i3mN0kV.webp",{"title":124,"description":125,"slug":126,"created_at":127,"publish_at":127,"formatted_created_at":102,"category":128,"links":129,"view_type":109,"video_url":85,"views":50,"likes":89,"lang":88,"comments_count":89,"is_pinned":111},"X Is Finally Cracking Down on Unlabeled Ads — And It’s Personal","For years, X (formerly Twitter) has been a playground for undisclosed promotions, coordinated spam networks, and “native” advertising that masquerades as organic content.","x-is-finally-cracking-down-on-unlabeled-ads-and-it-s-personal","2026-04-19T15:07:48.000000Z",{"title":65,"slug":66},{"image":130,"image_webp":131,"thumb":132,"thumb_webp":133},"https://cdn.quasa.io/images/news/CQJ1gdssFGyJpfhfmRU2X4WT5fk5Boc8APXsjWX6.jpg","https://cdn.quasa.io/images/news/CQJ1gdssFGyJpfhfmRU2X4WT5fk5Boc8APXsjWX6.webp","https://cdn.quasa.io/thumbs/news-thumb/images/news/CQJ1gdssFGyJpfhfmRU2X4WT5fk5Boc8APXsjWX6.jpg","https://cdn.quasa.io/thumbs/news-thumb/images/news/CQJ1gdssFGyJpfhfmRU2X4WT5fk5Boc8APXsjWX6.webp",{"title":135,"description":136,"slug":137,"created_at":138,"publish_at":139,"formatted_created_at":102,"category":140,"links":141,"view_type":109,"video_url":85,"views":146,"likes":89,"lang":88,"comments_count":89,"is_pinned":111},"Bitcoin Developers Propose BIP-361: Quantum-Proof Migration That Would Freeze Millions of Legacy Coins","In a move that could reshape the security of Bitcoin’s unspent transaction outputs forever, Bitcoin developers have introduced BIP-361 — officially titled “Post Quantum Migration and Legacy Signature Sunset.”","bitcoin-developers-propose-bip-361-quantum-proof-migration-that-would-freeze-millions-of-legacy-coins","2026-04-17T11:38:06.000000Z","2026-04-19T11:29:00.000000Z",{"title":43,"slug":44},{"image":142,"image_webp":143,"thumb":144,"thumb_webp":145},"https://cdn.quasa.io/images/news/XW07GuAbFLRaVskP2iUsv0witLmM4GwiSlwMPZpp.jpg","https://cdn.quasa.io/images/news/XW07GuAbFLRaVskP2iUsv0witLmM4GwiSlwMPZpp.webp","https://cdn.quasa.io/thumbs/news-thumb/images/news/XW07GuAbFLRaVskP2iUsv0witLmM4GwiSlwMPZpp.jpg","https://cdn.quasa.io/thumbs/news-thumb/images/news/XW07GuAbFLRaVskP2iUsv0witLmM4GwiSlwMPZpp.webp",47,{"title":148,"description":149,"slug":150,"created_at":151,"publish_at":152,"formatted_created_at":102,"category":153,"links":154,"view_type":109,"video_url":85,"views":159,"likes":89,"lang":88,"comments_count":89,"is_pinned":111},"Thomas Peterffy’s Bold Vision for Prediction Markets: Why Interactive Brokers Is Betting Big on “Useful” Bets","In a wide-ranging conversation on Bloomberg’s Odd Lots podcast, Thomas Peterffy — founder, chairman, and CEO of Interactive Brokers (IBKR) — sat down to discuss one of the most intriguing projects in his company’s 50-year history: IBKR ForecastTrader, the brokerage giant’s freshly launched prediction market platform.","thomas-peterffy-s-bold-vision-for-prediction-markets-why-interactive-brokers-is-betting-big-on-useful-bets","2026-04-16T18:39:15.000000Z","2026-04-19T09:31:00.000000Z",{"title":65,"slug":66},{"image":155,"image_webp":156,"thumb":157,"thumb_webp":158},"https://cdn.quasa.io/images/news/48nr7BL364AeGyF1lbFbh13tx14RNr0P2uUnbVe0.jpg","https://cdn.quasa.io/images/news/48nr7BL364AeGyF1lbFbh13tx14RNr0P2uUnbVe0.webp","https://cdn.quasa.io/thumbs/news-thumb/images/news/48nr7BL364AeGyF1lbFbh13tx14RNr0P2uUnbVe0.jpg","https://cdn.quasa.io/thumbs/news-thumb/images/news/48nr7BL364AeGyF1lbFbh13tx14RNr0P2uUnbVe0.webp",58,[161,174,189,201,216],{"title":162,"description":163,"slug":164,"created_at":165,"publish_at":166,"formatted_created_at":167,"category":168,"links":169,"view_type":109,"video_url":85,"views":172,"likes":173,"lang":88,"comments_count":89,"is_pinned":111},"The Anatomy of an Entrepreneur","Entrepreneur is a French word that means an enterpriser. Enterprisers are people who undertake a business or enterprise with the chance of earning profits or suffering from loss.","the-anatomy-of-an-entrepreneur","2021-08-04T15:18:21.000000Z","2025-12-14T06:09:00.000000Z","14.12.2025",{"title":65,"slug":66},{"image":170,"image_webp":85,"thumb":171,"thumb_webp":171},"https://cdn.quasa.io/images/news/mVsXPTMuHZuI7UXCsENgL1Qwp1uSOf7Rz3uVPMfm.webp","https://cdn.quasa.io/thumbs/news-thumb/images/news/mVsXPTMuHZuI7UXCsENgL1Qwp1uSOf7Rz3uVPMfm.webp",70823,2,{"title":175,"description":176,"slug":177,"created_at":178,"publish_at":179,"formatted_created_at":180,"category":181,"links":182,"view_type":84,"video_url":85,"views":187,"likes":188,"lang":88,"comments_count":89,"is_pinned":111},"Advertising on QUASA","QUASA MEDIA is read by more than 400 thousand people a month. We offer to place your article, add a link or order the writing of an article for publication.","advertising-on-quasa","2022-07-06T07:33:02.000000Z","2025-12-15T17:33:02.000000Z","15.12.2025",{"title":58,"slug":63},{"image":183,"image_webp":184,"thumb":185,"thumb_webp":186},"https://cdn.quasa.io/images/news/45SvmdsTQbiyc3nxgbyHY1mpVbisYyub2BCHjqBL.jpg","https://cdn.quasa.io/images/news/45SvmdsTQbiyc3nxgbyHY1mpVbisYyub2BCHjqBL.webp","https://cdn.quasa.io/thumbs/news-thumb/images/news/45SvmdsTQbiyc3nxgbyHY1mpVbisYyub2BCHjqBL.jpg","https://cdn.quasa.io/thumbs/news-thumb/images/news/45SvmdsTQbiyc3nxgbyHY1mpVbisYyub2BCHjqBL.webp",70587,4,{"title":190,"description":191,"slug":192,"created_at":193,"publish_at":194,"formatted_created_at":195,"category":196,"links":197,"view_type":109,"video_url":85,"views":200,"likes":188,"lang":88,"comments_count":89,"is_pinned":111},"What is a Startup?","A startup is not a new company, not a tech company, nor a new tech company. You can be a new tech company, if your goal is not to grow high and fast; then, you are not a startup. ","what-is-a-startup","2021-08-04T12:05:17.000000Z","2025-12-17T13:02:00.000000Z","17.12.2025",{"title":65,"slug":66},{"image":198,"image_webp":85,"thumb":199,"thumb_webp":199},"https://cdn.quasa.io/images/news/EOsQhSW3VXyG7a6NPdE1oZd00xfJXe3bjY5aJGb7.webp","https://cdn.quasa.io/thumbs/news-thumb/images/news/EOsQhSW3VXyG7a6NPdE1oZd00xfJXe3bjY5aJGb7.webp",68220,{"title":202,"description":203,"slug":204,"created_at":205,"publish_at":206,"formatted_created_at":207,"category":208,"links":209,"view_type":109,"video_url":85,"views":214,"likes":173,"lang":88,"comments_count":215,"is_pinned":111},"Top 5 Tips to Make More Money as a Content Creator","Content creators are one of the most desired job titles right now. Who wouldn’t want to earn a living online?","top-5-tips-to-make-more-money-as-a-content-creator","2022-01-17T17:31:51.000000Z","2026-01-17T11:30:00.000000Z","17.01.2026",{"title":19,"slug":20},{"image":210,"image_webp":211,"thumb":212,"thumb_webp":213},"https://cdn.quasa.io/images/news/gP8kiumBPpJmQv6SMieXiX1tDetx43VwFfO1P4Ca.jpg","https://cdn.quasa.io/images/news/gP8kiumBPpJmQv6SMieXiX1tDetx43VwFfO1P4Ca.webp","https://cdn.quasa.io/thumbs/news-thumb/images/news/gP8kiumBPpJmQv6SMieXiX1tDetx43VwFfO1P4Ca.jpg","https://cdn.quasa.io/thumbs/news-thumb/images/news/gP8kiumBPpJmQv6SMieXiX1tDetx43VwFfO1P4Ca.webp",42198,1,{"title":217,"description":218,"slug":219,"created_at":220,"publish_at":221,"formatted_created_at":222,"category":223,"links":224,"view_type":84,"video_url":85,"views":229,"likes":173,"lang":88,"comments_count":89,"is_pinned":111},"8 Logo Design Tips for Small Businesses","Your logo tells the story of your business and the values you stand for.","8-logo-design-tips-for-small-businesses","2021-12-04T21:59:52.000000Z","2025-05-05T03:30:00.000000Z","05.05.2025",{"title":15,"slug":16},{"image":225,"image_webp":226,"thumb":227,"thumb_webp":228},"https://cdn.quasa.io/images/news/Wbx2NtS1CnTupgoQbpFMGspJ5jm4uob2hDOq33r0.jpg","https://cdn.quasa.io/images/news/Wbx2NtS1CnTupgoQbpFMGspJ5jm4uob2hDOq33r0.webp","https://cdn.quasa.io/thumbs/news-thumb/images/news/Wbx2NtS1CnTupgoQbpFMGspJ5jm4uob2hDOq33r0.jpg","https://cdn.quasa.io/thumbs/news-thumb/images/news/Wbx2NtS1CnTupgoQbpFMGspJ5jm4uob2hDOq33r0.webp",41293,[231,232,233,234,235,236,237,238,239,240,241,242,243],{"title":23,"slug":24},{"title":47,"slug":48},{"title":55,"slug":56},{"title":43,"slug":44},{"title":51,"slug":52},{"title":31,"slug":32},{"title":35,"slug":36},{"title":27,"slug":28},{"title":19,"slug":20},{"title":15,"slug":16},{"title":58,"slug":63},{"title":11,"slug":12},{"title":65,"slug":66}]