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class="entry-header"><h1 class="entry-title">5 Reasons Why Modern Data Integration Gives You a Competitive Advantage</h1> <p class="entry-meta"> <div id="post_info"> <div id="author_reading_time"><span class="entry-author"><a href="https://datafloq.com/user/emily-newton/" class="entry-author-link" rel="author"><span class="entry-author-name">Emily Newton</span></a></span> / <span class="reading_time" id="reading_time">4 min read.</span> <br/> <time class="entry-time">May 8, 2023</time> </div> <div id="ai_metrics"> <div id='myBtn' class='myBtn_class'> <i id='mavin_ai_chart' class='far fa-question-circle'></i> <img class='mavin_image' src='https://datafloq.com/wp-content/plugins/df-ai-metrics/static/img/76-88-Datafloq-AI.png' alt='Datafloq AI Score' width='80' height='52'/> </div>  <div id='myModal' class='modal'>  <div class='modal-content'> <div class='modal-header'> <span class='close'>×</span> <h2>Datafloq AI Score: 83</h2> </div> <div class='modal-body'> <div id='chart-content'> <canvas id='myChart' width='200' height='200'></canvas> <div id='chart-text'> <p>Datafloq enables anyone to contribute articles, but we value high-quality content. This means that we do not accept SEO link building content, spammy articles, clickbait, articles written by bots and especially not misinformation. Therefore, we have developed an AI, built using multiple built open-source and proprietary tools to instantly define whether an article is written by a human or a bot and determine the level of bias, objectivity, whether it is fact-based or not, sentiment and overall quality. </p> <p>Articles published on Datafloq need to have a minimum AI score of 60% and we provide this graph to give more detailed information on how we rate this article. Please note that this is a work in progress and if you have any suggestions, feel free to <a href='/contact'>contact us</a>. </p> </div> </div> </div> </div> </div> <script> // Get the modal var modal = document.getElementById('myModal'); // Get the button that opens the modal var btn = document.getElementById('myBtn'); var mavin_ai_chart = document.getElementById('mavin_ai_chart'); // Get the <span> element that closes the modal var span = document.getElementsByClassName('close')[0]; // When the user clicks the button, open the modal mavin_ai_chart.onmouseover = function() { //modal.style.display = 'block'; setTimeout(function() { modal.style.display = 'block'; }, 1000); } btn.onclick = function() { modal.style.display = 'block'; } // When the user clicks on <span> (x), close the modal span.onclick = function() { modal.style.display = 'none'; } // When the user clicks anywhere outside of the modal, close it window.onclick = function(event) { if (event.target == modal) { modal.style.display = 'none'; } } </script><script> const ctx = document.getElementById('myChart').getContext('2d'); const data = { labels: [ 'Human written content', // bot_real_probability 'Ease of reading', 'Positive Sentiment', 'Objectivity', 'Accountability', 'Fact Basedness', 'Accurate', 'Non Influential', 'Unopinionated' ], datasets: [{ label: 'AI Metrics', data: ["98","100","61","49","31.000000000000007","61.5","20.799999999999997","14.800000000000002","35.9"], fill: true, backgroundColor: 'rgba(54, 162, 235, 0.2)', borderColor: 'rgb(115, 188, 119)', pointBackgroundColor: 'rgb(54, 162, 235)', pointBorderColor: '#fff', pointHoverBackgroundColor: '#fff', pointHoverBorderColor: 'rgb(54, 162, 235)' }] }; const config = { type: 'radar', data: data, options: { elements: { line: { borderWidth: 3 } }, scale: { min: 0, max: 100, }, }, }; const myChart = new Chart(ctx, config); </script></div> </div></p></header><div class="entry-content"><img width="750" height="420" src="https://datafloq.com/wp-content/uploads/2023/05/trent-pickering-wUPnMygSwYk-unsplash-750x420.jpg" class="singular-image entry-image" alt="" decoding="async" loading="lazy" srcset="https://datafloq.com/wp-content/uploads/2023/05/trent-pickering-wUPnMygSwYk-unsplash-750x420.jpg 750w, https://datafloq.com/wp-content/uploads/2023/05/trent-pickering-wUPnMygSwYk-unsplash-300x169.jpg 300w" sizes="(max-width: 750px) 100vw, 750px" /> <script type="text/javascript"> window.onload = function() { console.log(document.getElementById("input_18_4_1").value); document.getElementById("input_18_4_1").checked = true; } </script> <p>Data is the world’s most valuable resource, but its helpfulness depends on how you use it. Despite having quality information, many analysis projects fall short of expectations because of poor integration. Embracing a more modern data integration approach is a crucial step in making the most of your information.</p> <p>Integration is easy to overlook but is a critical part of the data analysis process. Once you understand how this phase impacts your analytics projects, you can optimize it to unlock several competitive advantages and stand out from other companies.</p> <h2>What Is Modern Data Integration?</h2> <p>Data integration is the process of combining information from across your organization to get a complete picture. It combines varying formats and types from multiple sources to create a single, unified source of truth for more accurate analysis. Modern data integration aims to improve this process by addressing some common inefficiencies.</p> <p>Many <a class="wl-entity-page-link" title="enterprise" href="https://datafloq.com/read/entity/enterprises/" 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>businesses</a> invest heavily in digital transformation, but <a href="https://www.bcg.com/publications/2020/increasing-odds-of-success-in-digital-transformation"><u>only 30% meet their goals</u></a> in this journey. Why is failure so common? A lot of it has to do with an inefficient or limited integration process. Many integrations still rely on manual data entry, on-premise storage, <a class="wl-entity-page-link" href="https://datafloq.com/read/entity/data-silos/" data-id="https://data.wordlift.io/wl114164/entity/data-silos;http://dbpedia.org/resource/Information_silo;http://sv.dbpedia.org/resource/Informationssilo;http://en.dbpedia.org/resource/Information_silo" >data silos</a> and batch processing, but these processes are no longer sufficient for today’s volumes, variety and velocity.</p> <p>Modern integration techniques and designs include data fabrics, <a class="wl-entity-page-link" title="Public Cloud" href="https://datafloq.com/read/entity/cloud/" 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>cloud</a> storage, continuous processing, automation and more user-friendly controls. Here are five reasons these changes give you a competitive edge and how to implement them.</p> <div id="bsa-block-728--90" class="bsaProContainerNew bsaProContainer-26 bsa-block-728--90 bsa-pro-col-1" style="display: block !important"><div class="bsaProItems bsaGridGutter " style="background-color:"><div class="bsaProItem bsaReset" data-animation="none" style="opacity:1"><div class="bsaProItemInner" style="background-color:"><div class="bsaProItemInner__thumb"><div class="bsaProAnimateThumb"><a class="bsaProItem__url" href="https://datafloq.com/ordering_form?sid=26&bsa_pro_id=60&bsa_pro_url=1" target="_blank"><div class="bsaProItemInner__img" style="background-image: url('https://datafloq.com/wp-content/uploads/bsa-pro-upload/1683277506-McAfee Affiliate Banner.jpg')"></div></a></div></div></div></div></div></div><script> (function($){ "use strict"; $(document).ready(function(){ function bsaProResize() { var sid = "26"; var object = $(".bsaProContainer-" + sid); var imageThumb = $(".bsaProContainer-" + sid + " .bsaProItemInner__img"); var animateThumb = $(".bsaProContainer-" + sid + " .bsaProAnimateThumb"); var innerThumb = $(".bsaProContainer-" + sid + " .bsaProItemInner__thumb"); var parentWidth = "728"; var parentHeight = "90"; var objectWidth = object.parent().outerWidth(); if ( objectWidth <= parentWidth ) { var scale = objectWidth / parentWidth; if ( objectWidth > 0 && objectWidth !== 100 && scale > 0 ) { animateThumb.height(parentHeight * scale); innerThumb.height(parentHeight * scale); imageThumb.height(parentHeight * scale); } else { animateThumb.height(parentHeight); innerThumb.height(parentHeight); imageThumb.height(parentHeight); } } else { animateThumb.height(parentHeight); innerThumb.height(parentHeight); imageThumb.height(parentHeight); } } bsaProResize(); $(window).resize(function(){ bsaProResize(); }); }); })(jQuery); </script> <script> (function ($) { "use strict"; var bsaProContainer = $('.bsaProContainer-26'); var number_show_ads = "0"; var number_hide_ads = "0"; if ( number_show_ads > 0 ) { setTimeout(function () { bsaProContainer.fadeIn(); }, number_show_ads * 1000); } if ( number_hide_ads > 0 ) { setTimeout(function () { bsaProContainer.fadeOut(); }, number_hide_ads * 1000); } })(jQuery); </script> <h2>1. It’s Far More Efficient</h2> <p>Modern data integration’s efficiency is one of its biggest advantages. Automating integration processes and removing silos makes it easier to manage new information as it arises, leading to more relevant insights and effective data-driven decision-making.</p> <p>Data fabrics <a href="https://getrightdata.com/content/dextrus-blogs/the-data-fabric-evolution"><u>offer real-time integration through artificial intelligence</u></a> (AI), using these tools to automate discovery and virtualization. You can act on it far faster when you don’t have to manually pull information and file it into the right database. The analytics timeline can go from months to within a single day.</p> <p>A faster analytics process means you can respond to changes in less time. That’s becoming increasingly important as data generation rates skyrocket. Consequently, the sooner you modernize your integration, the better you’ll stay competitive in a quickly advancing market.</p> <h2>2. It Involves More Team Members</h2> <p>Modern data integration also makes data-centric processes easier for nontechnical users. Traditional approaches often require extensive knowledge or experience in analytics and related technologies, but these skills and expertise aren’t necessarily common. That inaccessibility can stop you from getting all you can from your data.</p> <p>Newer integration frameworks streamline and automate processing and analysis workflows so users don’t have to do most of the technical work. Removing that barrier lets you involve more stakeholders with less technology experience in your data decision-making.</p> <p>Involving more team members is important because your IT teams aren’t always the ones who will be affected by the impact of your data-driven decisions. Including more people drives relevant, effective changes. As a result, your data initiatives will meet real-world business goals.</p><div class="google-adsc"> <hr class="wp-block-separator has-text-color has-theme-primary-color has-alpha-channel-opacity has-theme-primary-background-color has-background is-style-wide"/> <h3 class="frmheading" id="gf18-title">Interested in what the future will bring? 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</script> <hr class="wp-block-separator has-text-color has-theme-primary-color has-alpha-channel-opacity has-theme-primary-background-color has-background is-style-wide"/> </div> <h2>3. It’s More Accurate</h2> <p>Making data integration more accessible and streamlined boosts accuracy. Older methods involve a lot of manual data entry, silos and moving information from place to place. As a result, incomplete pictures, errors and losses in transit are common, but modern integration provides a solution.</p> <p>Because modern integration technologies like AI automate data discovery and entry, they minimize the risks of human error. Similarly, keeping everything in one place through the cloud reduces transit and related data loss risks and makes it easier to see your information’s complete picture. As a result, any analysis you perform will be more reliable.</p> <p>Human error is also one of the <a href="https://revolutionized.com/cybersecurity-risks-and-controls/"><u>most common cybersecurity risks</u></a>, so this automation makes your analytics processes safer. That security boost and avoiding inaccurate insights from unreliable data will result in considerable cost savings.</p> <h2>4. It’s Scalable</h2> <p>Your integration process must be scalable to make the most of your data. Global data volumes reached <a href="https://www.statista.com/statistics/871513/worldwide-data-created/"><u>64.2 zettabytes in 2020</u></a> and will likely pass 180 by 2025. If you can’t scale up to match these accelerating volumes, you won’t be able to capitalize on all your available information fully.</p> <p>Because modern integration techniques process data in real time and automate repetitive tasks like data entry, you can add new sources or change workflows more easily. Moving away from on-premise storage and silos in favor of the cloud makes expansion faster and more cost-effective.</p> <p>This adaptability lets you take advantage of rising data rates as they accelerate. As a result, you can grow faster while minimizing your operating costs.</p> <div id="bsa-block-728--90" class="bsaProContainerNew bsaProContainer-27 bsa-block-728--90 bsa-pro-col-1" style="display: block !important"><div class="bsaProItems bsaGridGutter " style="background-color:"><div class="bsaProItem bsaReset" data-animation="none" style="opacity:1"><div class="bsaProItemInner" style="background-color:"><div class="bsaProItemInner__thumb"><div class="bsaProAnimateThumb"><a class="bsaProItem__url" href="https://datafloq.com/ordering_form?sid=27&bsa_pro_id=33&bsa_pro_url=1" target="_blank"><div class="bsaProItemInner__img" style="background-image: url('https://datafloq.com/wp-content/uploads/bsa-pro-upload/1679987406-728x90 (1).png')"></div></a></div></div></div></div></div></div><script> (function($){ "use strict"; $(document).ready(function(){ function bsaProResize() { var sid = "27"; var object = $(".bsaProContainer-" + sid); var imageThumb = $(".bsaProContainer-" + sid + " .bsaProItemInner__img"); var animateThumb = $(".bsaProContainer-" + sid + " .bsaProAnimateThumb"); var innerThumb = $(".bsaProContainer-" + sid + " .bsaProItemInner__thumb"); var parentWidth = "728"; var parentHeight = "90"; var objectWidth = object.parent().outerWidth(); if ( objectWidth <= parentWidth ) { var scale = objectWidth / parentWidth; if ( objectWidth > 0 && objectWidth !== 100 && scale > 0 ) { animateThumb.height(parentHeight * scale); innerThumb.height(parentHeight * scale); imageThumb.height(parentHeight * scale); } else { animateThumb.height(parentHeight); innerThumb.height(parentHeight); imageThumb.height(parentHeight); } } else { animateThumb.height(parentHeight); innerThumb.height(parentHeight); imageThumb.height(parentHeight); } } bsaProResize(); $(window).resize(function(){ bsaProResize(); }); }); })(jQuery); </script> <script> (function ($) { "use strict"; var bsaProContainer = $('.bsaProContainer-27'); var number_show_ads = "0"; var number_hide_ads = "0"; if ( number_show_ads > 0 ) { setTimeout(function () { bsaProContainer.fadeIn(); }, number_show_ads * 1000); } if ( number_hide_ads > 0 ) { setTimeout(function () { bsaProContainer.fadeOut(); }, number_hide_ads * 1000); } })(jQuery); </script> <h2>5. It Provides Context</h2> <p>Modern data integration also covers a far wider range of formats and sources. Data fabrics and similar architectures can see, record and convert more file types, including surrounding <a class="wl-entity-page-link" title="Meta Data" href="https://datafloq.com/read/entity/metadata/" 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>metadata</a>. Having access to more information leads to more reliable analytics.</p> <p>Removing silos and workflow inefficiencies helps by letting you view everything as a cohesive whole. When you see the big picture in your data instead of isolated facts and figures, you’ll better understand emerging trends. Similarly, you can see how various changes impact your business more clearly.</p> <p>This context can inform better strategic decision-making. Without it, even accurate data can be misleading, which can cause you to spend a lot of money on adjustments that may not yield significant improvements.</p> <h2>Conclusion</h2> <p>Staying competitive as a modern business means capitalizing on your data. As volumes and varieties grow, you’ll need more advanced integration technologies and strategies to stay ahead of the game.</p><div class="essb_break_scroll"></div> </div><footer class="entry-footer"><p class="entry-meta"><span class="entry-categories">Categories: <a href="https://datafloq.com/category/big-data/" rel="category tag">Big Data</a><br></span> <span class="entry-tags">Tags: <a href="https://datafloq.com/tag/ai/" rel="tag">AI</a>, <a href="https://datafloq.com/tag/big-data/" rel="tag">Big Data</a>, <a href="https://datafloq.com/tag/data-integration/" rel="tag">Data integration</a><br></span> <span class="post-credit">Credit: Trent Pickering via Unplash: https://unsplash.com/photos/wUPnMygSwYk</span></p></footer></article><div class="ad-after-content"><div id="bsa-html" class="bsaProContainerNew bsaProContainer-6 bsa-html bsa-pro-col-1" style="display: block !important"><div class="bsaProItems bsaGridGutter " style="background-color:"><div class="bsaProItem bsaReset" data-animation="none" style="opacity:1"><div class="bsaProItemInner" style="background-color:"><div class="bsaProItemInner__copy"><div class="bsaProItemInner__copyInner"><div class="bsaProItemInner__html"><script async src="https://pagead2.googlesyndication.com/pagead/js/adsbygoogle.js?client=ca-pub-8651647724440746" crossorigin="anonymous"></script> <ins class="adsbygoogle" style="display:block" data-ad-format="autorelaxed" data-ad-client="ca-pub-8651647724440746" data-ad-slot="2073547341"></ins> <script> (adsbygoogle = window.adsbygoogle || []).push({}); </script> </div></div></div></div></div></div></div> <script> (function ($) { "use strict"; var bsaProContainer = $('.bsaProContainer-6'); var number_show_ads = "0"; var number_hide_ads = "0"; if ( number_show_ads > 0 ) { setTimeout(function () { bsaProContainer.fadeIn(); }, number_show_ads * 1000); } if ( number_hide_ads > 0 ) { setTimeout(function () { bsaProContainer.fadeOut(); }, number_hide_ads * 1000); } })(jQuery); </script> </div><section class="author-box"><img alt='' src='https://datafloq.com/wp-content/uploads/2022/01/1604951022353.jpg' class='avatar avatar-70 photo' height='70' width='70' loading="lazy" decoding="async"/><h4 class="author-box-title">About <a href="https://datafloq.com/user/emily-newton/"><span itemprop="name">Emily Newton</span></a><ul class="author-social-info"><li class="social-item"><a href="https://twitter.com/ReadRevMag" class="social-item-twitter"> <svg height="100%" style="fill-rule:evenodd;clip-rule:evenodd;stroke-linejoin:round;stroke-miterlimit:2;" version="1.1" viewBox="0 0 512 512" width="100%" xml:space="preserve" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"><g><path d="M448,512l-384,0c-35.328,0 -64,-28.672 -64,-64l0,-384c0,-35.328 28.672,-64 64,-64l384,0c35.328,0 64,28.672 64,64l0,384c0,35.328 -28.672,64 -64,64Z" id="Dark_Blue" style="fill:#1da1f2;fill-rule:nonzero;"/><path d="M196.608,386.048c120.704,0 186.752,-100.096 186.752,-186.752c0,-2.816 0,-5.632 -0.128,-8.448c12.8,-9.216 23.936,-20.864 32.768,-34.048c-11.776,5.248 -24.448,8.704 -37.76,10.368c13.568,-8.064 23.936,-20.992 28.928,-36.352c-12.672,7.552 -26.752,12.928 -41.728,15.872c-12.032,-12.8 -29.056,-20.736 -47.872,-20.736c-36.224,0 -65.664,29.44 -65.664,65.664c0,5.12 0.64,10.112 1.664,14.976c-54.528,-2.688 -102.912,-28.928 -135.296,-68.608c-5.632,9.728 -8.832,20.992 -8.832,33.024c0,22.784 11.648,42.88 29.184,54.656c-10.752,-0.384 -20.864,-3.328 -29.696,-8.192l0,0.896c0,31.744 22.656,58.368 52.608,64.384c-5.504,1.536 -11.264,2.304 -17.28,2.304c-4.224,0 -8.32,-0.384 -12.288,-1.152c8.32,26.112 32.64,45.056 61.312,45.568c-22.528,17.664 -50.816,28.16 -81.536,28.16c-5.248,0 -10.496,-0.256 -15.616,-0.896c28.928,18.432 63.488,29.312 100.48,29.312" id="Logo__x2014__FIXED" style="fill:#fff;fill-rule:nonzero;"/></g></svg> </a></li><li class="social-item"><a href="https://www.linkedin.com/in/emily-newton-821a40203/" class="social-item-linkedin"> <svg enable-background="new 0 0 32 32" height="28" id="Layer_1" version="1.0" viewBox="0 0 32 32" width="32" xml:space="preserve" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"><g><path d="M32,30c0,1.104-0.896,2-2,2H2c-1.104,0-2-0.896-2-2V2c0-1.104,0.896-2,2-2h28c1.104,0,2,0.896,2,2V30z" fill="#007BB5"/><g><rect fill="#FFFFFF" height="14" width="4" x="7" y="11"/><path d="M20.499,11c-2.791,0-3.271,1.018-3.499,2v-2h-4v14h4v-8c0-1.297,0.703-2,2-2c1.266,0,2,0.688,2,2v8h4v-7 C25,14,24.479,11,20.499,11z" fill="#FFFFFF"/><circle cx="9" cy="8" fill="#FFFFFF" r="2"/></g></g><g/><g/><g/><g/><g/><g/></svg> </a></li></ul></h4><div class="author-box-content" itemprop="description"><p>Emily Newton is the Editor-in-Chief of Revolutionized, an online magazine that explores innovations in science and technology. 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