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class="mobile-post-thumb" alt="How to Implement Augmented Analytics for Data-Driven Decision-Making"/> <div> <div class="social"> <div class="post-image-sharrre"> <div class="shareme" data-image="https://opendatascience.com/wp-content/uploads/2024/02/shutterstock_2216615183.jpg" data-url="https://opendatascience.com/how-to-implement-augmented-analytics-for-data-driven-decision-making/" data-text="How to Implement Augmented Analytics for Data-Driven Decision-Making"></div> </div></div> </div> </div> <div class="title"> <h1 id="intro"><a href="https://opendatascience.com/how-to-implement-augmented-analytics-for-data-driven-decision-making/" class="entry-title" itemprop="headline">How to Implement Augmented Analytics for Data-Driven Decision-Making</a></h1> <p> <a href="https://opendatascience.com/category/accelerate-ai/" title="Business + Management" class="tag-default">Business + Management</a><a href="https://opendatascience.com/category/modeling/data-analytics/" title="Data Analytics" class="tag-default">Data Analytics</a>posted by <a href="https://opendatascience.com/user/april-miller/" title="Data Analytics" class="tag-defaultic">April Miller</a> <span class="legend-default"> <i class="fa fa-clock-o"></i><span class="updated" >February 6, 2024</span> <i class="fa fa-user"></i><span ><a href="" class="author url fn">April Miller</a></span> </span> </p> </div> <span class="item-summary-hidden" itemprop="description">Data analytics is integral to modern business, but many organizations’ efforts are starting to fall flat. Now that virtually every company...</span> <img class="item-image-hidden" itemprop="image" src="https://opendatascience.com/wp-content/uploads/2024/02/shutterstock_2216615183.jpg" alt="How to Implement Augmented Analytics for Data-Driven Decision-Making" /> <div class="post" itemprop="articleBody"><style type="text/css" data-type="vc_custom-css">.dashed{ border: 1px dashed #242c66;margin-left:0px!important;margin-right:0px!important;} .aio-icon-title { font-size: 28px!important; line-height: 38px!important; margin-top: 15px!important; } button.ubtn-normal { padding: 15px 30px; } .aio-icon{color: #242c66; font-size: 32px; display: inline-block;} .default-icon .aio-icon-default .aio-icon, .default-icon .aio-icon-default .aio-icon-img { margin-right: 15px; } .default-icon .aio-icon-default { display: table-cell; vertical-align: middle; } .default-icon .aio-icon-header { display: table-cell; vertical-align: middle; }</style><p><span style="font-weight: 400;"><a href="https://opendatascience.com/?s=analytics" target="_blank" rel="noopener">Data analytics</a> is integral to modern business, but many organizations’ efforts are starting to fall flat. Now that virtually every company is capitalizing on data, analytics alone isn’t enough to surge ahead of the competition. You must be able to analyze data faster, more accurately, and within context.</span></p> <p><span style="font-weight: 400;">It’s often </span><a href="https://www.kdnuggets.com/2021/08/causal-inference-augmented-analytics-beyond-flatland.html"><span style="font-weight: 400;">hard to extract value from predictive models</span></a><span style="font-weight: 400;"> because they lack explainability and can be challenging to implement effectively. Augmented analytics — which automates more of the analytics journey through AI — can address conventional obstacles to make it easier to turn data into relevant, accurate and actionable insights. Here’s how to execute it effectively.</span></p> <h2><b>1. Clean Your Data Before Analysis</b></h2> <p><span style="font-weight: 400;">Overlooking the need for data cleansing is </span><a href="https://www.kdnuggets.com/2023/03/3-mistakes-could-affecting-accuracy-data-analytics.html"><span style="font-weight: 400;">one of the most common mistakes</span></a><span style="font-weight: 400;"> hindering analytics accuracy. As it happens, this area is also an ideal application for augmented analytics. Using AI to clean and organize your data before you analyze it vastly improves your model’s reliability without adding too much time to your workflow.</span></p> <p><span style="font-weight: 400;">Manual data cleansing gets the job done but is slow and error-prone. Letting AI do it instead saves time and reduces the risk of human error. You can even use generative AI to supplement your data sets with synthetic data for privacy or accuracy.</span></p> <div class="at-above-post addthis_tool" data-url="https://opendatascience.com/how-to-implement-augmented-analytics-for-data-driven-decision-making/"></div><div class="vc_row wpb_row vc_row-fluid dashed"><div class="wpb_column vc_column_container vc_col-sm-12"><div class="vc_column-inner"><div class="wpb_wrapper"><div class="aio-icon-component style_1"><div id="Info-box-wrap-2989" class="aio-icon-box default-icon" style="" ><div class="aio-icon-default"><div class="ult-just-icon-wrapper "><div class="align-icon" style="text-align:center;"> <div class="aio-icon none " style="color:#242c66;font-size:32px;display:inline-block;"> <i class="Defaults-calendar"></i> </div></div></div></div><div class="aio-icon-header" ><a class="aio-icon-box-link" ><h3 class="aio-icon-title ult-responsive" data-ultimate-target='#Info-box-wrap-2989 .aio-icon-title' data-responsive-json-new='{"font-size":"desktop:28px;","line-height":"desktop:38px;"}' style="color:#242c66;">The ODSC East 2025 40% off ends SOON!</h3></a></div> <div class="aio-icon-description ult-responsive" data-ultimate-target='#Info-box-wrap-2989 .aio-icon-description' data-responsive-json-new='{"font-size":"","line-height":""}' style=""> <h4>In-person conference | <strong>May 13th-15th, 2025 | Boston, MA</strong></h4> <p><span style="font-weight: 400;">Join us on May 13th-15th, 2025, for 3 days of immersive learning and networking with AI experts.</span></p> <p><span style="font-weight: 400;">🔹 World-class AI experts | </span><span style="font-weight: 400;">🔹 Cutting-edge workshops | </span><span style="font-weight: 400;">🔹 Hands-on Training</span></p> <p><span style="font-weight: 400;">🔹 Strategic Insights | </span><span style="font-weight: 400;">🔹 Thought Leadership | </span><span style="font-weight: 400;">🔹 And much more!</span></p> <p><a href="https://www.eventbrite.com/e/odsc-east-2025-conference-open-data-science-conference-tickets-951374094527?discount=ODSC_EastBlog" target="_blank" rel="noopener"><img fetchpriority="high" decoding="async" class="aligncenter wp-image-49768 size-full" src="https://opendatascience.com/wp-content/uploads/2023/07/Week-of-Feb-10-Blog-Banners_728x90-prelim-schedule.png" alt="" width="728" height="90" srcset="https://opendatascience.com/wp-content/uploads/2023/07/Week-of-Feb-10-Blog-Banners_728x90-prelim-schedule.png 728w, https://opendatascience.com/wp-content/uploads/2023/07/Week-of-Feb-10-Blog-Banners_728x90-prelim-schedule-300x37.png 300w" sizes="(max-width: 728px) 100vw, 728px" /></a></div> </div> </div> <div class=" ubtn-ctn-center "><a class="ubtn-link ult-adjust-bottom-margin ubtn-center ubtn-normal " href="https://www.eventbrite.com/e/odsc-east-2025-conference-open-data-science-conference-tickets-951374094527?discount=ODSC_EastBlog" target="_blank" rel="noopener" ><button type="button" id="ubtn-6601" class="ubtn ult-adjust-bottom-margin ult-responsive ubtn-normal ubtn-no-hover-bg none ubtn-shd ubtn-center shd-bottom tooltip-67b2dfd57a4ed" data-hover="" data-border-color="" data-bg="#242c66" data-hover-bg="" data-border-hover="" data-shadow-hover="0 5px ;" data-shadow-click="none" data-shadow="0 5px ;" data-shd-shadow="5" data-ultimate-target='#ubtn-6601' data-responsive-json-new='{"font-size":"","line-height":""}' style="font-weight:normal;border:none;box-shadow: 0 5px ;background: #242c66;color: #ffffff;"><span class="ubtn-hover" style="background-color:"></span><span class="ubtn-data ubtn-text " >Use this link for an additional 10% off!</span></button></a></div><div class="vc_empty_space" style="height: 25px"><span class="vc_empty_space_inner"></span></div></div></div></div></div> <div class="at-below-post addthis_tool" data-url="https://opendatascience.com/how-to-implement-augmented-analytics-for-data-driven-decision-making/"></div><style type="text/css" data-type="rcb-_wpb_post_custom_css-43608">.dashed{ border: 1px dashed #242c66;margin-left:0px!important;margin-right:0px!important;} .aio-icon-title { font-size: 28px!important; line-height: 38px!important; margin-top: 15px!important; } button.ubtn-normal { padding: 15px 30px; } .aio-icon{color: #242c66; font-size: 32px; display: inline-block;} .default-icon .aio-icon-default .aio-icon, .default-icon .aio-icon-default .aio-icon-img { margin-right: 15px; } .default-icon .aio-icon-default { display: table-cell; vertical-align: middle; } .default-icon .aio-icon-header { display: table-cell; vertical-align: middle; }</style> <p> </p> <h2><b>2. Reduce Tedious Work</b></h2> <p><span style="font-weight: 400;">Similarly, augmented analytics should reduce human involvement in the most tedious parts of the process. Almost </span><a href="https://blinkux.com/ideas/solving-digital-debt"><span style="font-weight: 400;">two-thirds of people say</span></a><span style="font-weight: 400;"> they don’t have the time or energy to do their job, making them far less adept at innovative and strategic thinking. You can avoid those outcomes and ensure you interpret your analytics effectively if you prevent burnout through automation.</span></p> <p><span style="font-weight: 400;">Most businesses already recognize the need to automate the actual analysis of data, but you can go further. Automating the data preparation and interpretation phases will take much time and effort out of the equation, too.</span></p> <h2><b>3. Address Bias</b></h2> <p><span style="font-weight: 400;">As you automate more of the analytics process, you must consider potential biases in your interpretation. Augmented analytics can reduce bias by taking the human aspect out of the equation when analyzing data. However, AI can feature prejudices of its own, </span><a href="https://www.scientificamerican.com/article/humans-absorb-bias-from-ai-and-keep-it-after-they-stop-using-the-algorithm/"><span style="font-weight: 400;">even increasing human bias</span></a><span style="font-weight: 400;"> in some cases as people use biased models.</span></p> <p><span style="font-weight: 400;">Removing identifiers in training data that may produce bias is a good start. Ensuring explainability in any AI models you use is equally important, as is reviewing them to ensure you can trust their results. Regardless of how much you automate, humans should always have the final say.</span></p> <h2><b>4. Emphasize Visualization and Storytelling</b></h2> <p><span style="font-weight: 400;">Visualization is another key use case for augmented analytics. Data-driven insights are only useful if decision-makers can understand them, and </span><a href="https://link.springer.com/article/10.1007/s11301-021-00235-8"><span style="font-weight: 400;">visualization improves decision quality</span></a><span style="font-weight: 400;"> and speed. Consequently, using generative AI to create engaging charts, graphs and other graphic demonstrations of AI insights makes analytics more practical.</span></p> <p><span style="font-weight: 400;">Storytelling has a similar effect. Generative AI can help you present analytical findings as a story, providing crucial context while highlighting the practical implications.</span></p> <h2><b>5. Implement Augmented Analytics Thorough Governance</b></h2> <p><span style="font-weight: 400;">As you engage in augmented analytics, you must develop and implement a formal governance strategy. Augmented analytics involves extensive AI and automation use, so being careless can lead to regulatory and cybersecurity issues.</span></p> <p><span style="font-weight: 400;">Protecting sensitive data lies at the top of these governance concerns. Augmented analytics can help in this regard, too, as AI-generated synthetic data can replace real-world data sets that may contain identifiers. Ensuring model explainability, protecting training data sets from data poisoning attacks, and regularly reviewing these technologies are similarly important.</span></p> <h2><b>Augmented Analytics Takes Your BI Further</b></h2> <p><span style="font-weight: 400;">Business intelligence alone isn’t enough to remain competitive in today’s accelerated, tech-centric environment. Data scientists must refine their analytics processes through AI and automation to deliver insights faster, more accurately, and in a more easily understandable manner.</span></p> <p><span style="font-weight: 400;">Every augmented analytics journey looks different, but these five steps lay the groundwork for any effective endeavor under this umbrella. Start here to take your analytics workflows further today.</span></p> </div> </div> <div class="post-sharrre"> <div class="sharrre-twitter" data-url="https://opendatascience.com/how-to-implement-augmented-analytics-for-data-driven-decision-making/" data-text="How to Implement Augmented Analytics for Data-Driven Decision-Making" data-title="Tweet"></div> <div class="sharrre-facebook" data-url="https://opendatascience.com/how-to-implement-augmented-analytics-for-data-driven-decision-making/" data-text="How to Implement Augmented Analytics for Data-Driven Decision-Making" data-title="Share"></div> <div class="sharrre-pinterest" data-url="https://opendatascience.com/how-to-implement-augmented-analytics-for-data-driven-decision-making/" data-text="How to Implement Augmented Analytics for Data-Driven Decision-Making" data-title="Pin"></div> <div class="sharrre-linkedin" data-url="https://opendatascience.com/how-to-implement-augmented-analytics-for-data-driven-decision-making/" data-text="How to Implement Augmented Analytics for Data-Driven Decision-Making" data-title="Share"></div> <div class="sharrre-googleplus" data-url="https://opendatascience.com/how-to-implement-augmented-analytics-for-data-driven-decision-making/" data-text="How to Implement Augmented Analytics for Data-Driven Decision-Making" data-title="+1"></div> </div>  <div class="about-author" id="about-author"> <div class="title-default"> <a href="#" class="active">About author</a> </div> <div class="about"> <img src="https://opendatascience.com/wp-content/uploads/ultimatemember/10890/profile_photo-190.jpg?1739757957" class="gravatar avatar avatar-117 um-avatar um-avatar-uploaded" width="117" height="117" alt="April Miller" data-default="https://opendatascience.com/wp-content/plugins/ultimate-member/assets/img/default_avatar.jpg" onerror="if(!this.getAttribute('data-load-error')){this.setAttribute('data-load-error', '1');this.setAttribute('src', this.getAttribute('data-default'));}" /> <h2> <a href="https://opendatascience.com/user/april-miller/" title="ODSC Speaker" class="tag-defaultic">April Miller</a> </h2> <p>April Miller is a staff writer at ReHack Magazine who specializes in AI, machine learning while writing on topics across the technology sphere. 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