Insights and Predictions

<p>Some of the insights and predictions you can find in DataLakeHouse to take the guesswork out of business decision making. The sole purpose of collecting data is to derive useful insights and predictions from it that can help you make the best business decisions possible. What data you&#8217;re collecting and what you’re hoping to discover from it are largely dependent on the industry and department you&#8217;re in. For example, if you’re in retail, the information you care about is most likely not going to be the same as an organization in the transportation and logistics sector. This is why having…</p>

<div data-elementor-type="wp-post" data-elementor-id="1504" class="elementor elementor-1504" data-elementor-post-type="blog"> <section class="elementor-section elementor-top-section elementor-element elementor-element-ca89364 elementor-section-boxed elementor-section-height-default elementor-section-height-default" data-id="ca89364" data-element_type="section"> <div class="elementor-container elementor-column-gap-default"> <div class="elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-63ab91e" data-id="63ab91e" data-element_type="column"> <div class="elementor-widget-wrap elementor-element-populated"> <div class="elementor-element elementor-element-6c8442a elementor-widget elementor-widget-text-editor" data-id="6c8442a" data-element_type="widget" data-widget_type="text-editor.default"> <div class="elementor-widget-container"> <p><span style="font-weight: 400;">Some of the insights and predictions you can find in <a href="https://www.datalakehouse.io/">DataLakeHouse</a> to take the guesswork out of business decision making.</span></p> </div> </div> <div class="elementor-element elementor-element-67008cd elementor-widget elementor-widget-image" data-id="67008cd" data-element_type="widget" data-widget_type="image.default"> <div class="elementor-widget-container"> <img decoding="async" src="https://cdn.datalakehouse.org/media/sites/3/Insights-Blog-Post-Image.png" title="" alt="" loading="lazy" /> </div> </div> <div class="elementor-element elementor-element-1bd98c5 elementor-widget elementor-widget-spacer" data-id="1bd98c5" data-element_type="widget" data-widget_type="spacer.default"> <div class="elementor-widget-container"> <div class="elementor-spacer"> <div class="elementor-spacer-inner"></div> </div> </div> </div> </div> </div> </div> </section> <section class="elementor-section elementor-top-section elementor-element elementor-element-0860a6e elementor-section-boxed elementor-section-height-default elementor-section-height-default" data-id="0860a6e" data-element_type="section"> <div class="elementor-container elementor-column-gap-default"> <div class="elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-098dfb8" data-id="098dfb8" data-element_type="column"> <div class="elementor-widget-wrap elementor-element-populated"> <div class="elementor-element elementor-element-3d849fe elementor-widget elementor-widget-text-editor" data-id="3d849fe" data-element_type="widget" data-widget_type="text-editor.default"> <div class="elementor-widget-container"> <p><span style="font-weight: 400;">The sole purpose of collecting data is to derive useful insights and predictions from it that can help you make the best business decisions possible. What data you&#8217;re collecting and what you’re hoping to discover from it are largely dependent on the industry and department you&#8217;re in. For example, if you’re in retail, the information you care about is most likely not going to be the same as an organization in the transportation and logistics sector. This is why having a data model specifically built for your industry is absolutely necessary.   </span></p><p><span style="font-weight: 400;">Aside from getting a holistic view of your business that will enable you to determine how specific operations affect other factors (which is a pretty big deal, if I do say so myself!), here’s a look at the kind of insights and predictions you can expect to get from DataLakeHouse, based on the industry and department your in:</span></p><p><span style="font-weight: 400;">Retail &amp; Restaurants &#8211;</span></p><ul><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">Possible causes of shrinkage </span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">Predetermination of SKUs to keep in stock and when they should be ordered </span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">Best &amp; worst performing locations &amp; distribution channels</span></li></ul><ul><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">Upselling performance of staff members</span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">Key areas of concern for improving service &amp; offerings</span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">Highest and lowest selling items</span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">Best customers &amp; the best ways to reach them </span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">Product &amp; service suggestions for customers </span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">Suggestions for menu items &amp; product components that require pricing adjustments</span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">Internal &amp; external factors affecting consumer spending</span></li></ul><p><span style="font-weight: 400;">Transportation &amp; Logistics &#8211; </span></p><ul><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">Which drivers are most efficient</span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">Options for mitigating safety issues </span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">Optimal routes for lowest fuel spend &amp; on-time deliveries</span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">Key areas of concern for improving customer service</span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">Determine the best ways to keep up with demand</span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">How to prevent high turnover</span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">Number of active &amp; working trucks within specific timeframes </span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">Number of trucks in need of repairs</span></li></ul><p><span style="font-weight: 400;">Banking &amp; Finance &#8211; </span></p><ul><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">Predicting loan delinquency </span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">Customer churn prediction</span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">Credit card fraud detection </span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">Credit scoring for loan approvals &amp; denials</span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">Predicting trends &amp; sentiment analysis for traders and investors </span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">Issues with ID &amp; biometric authentication in mobile banking apps that require attention</span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">Key areas of concern for improving service &amp; offerings</span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">Recommendations for increasing customer retention</span></li></ul><p><span style="font-weight: 400;">Marketing &amp; Sales &#8211; </span></p><ul><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">Where your best traffic is coming from in terms of conversions</span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">Best platforms for gaining consumer engagement &amp; loyalty </span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">High and low performing content </span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">Customer demographics of highest and lowest spenders for more accurate targeting</span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">Best customers &amp; the best ways to reach them </span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">Product &amp; service recommendations for target customers </span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">Improve targeting strategies</span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">Suggestions for menu items &amp; product components that require pricing adjustments</span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">Best &amp; worst selling products &amp; services </span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">Competitive analyses</span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">Create alignment with buyer personas</span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">Determine the best ways to improve return on advertising spend (ROAS) </span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">Recommendations for increasing customer retention</span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">Internal &amp; external factors affecting consumer spending</span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">Possible ways to improve customer sentiment </span></li></ul> </div> </div> <section class="elementor-section elementor-inner-section elementor-element elementor-element-0e29846 elementor-section-boxed elementor-section-height-default elementor-section-height-default" data-id="0e29846" data-element_type="section"> <div class="elementor-container elementor-column-gap-default"> <div class="elementor-column elementor-col-50 elementor-inner-column elementor-element elementor-element-f8aaad4" data-id="f8aaad4" data-element_type="column"> <div class="elementor-widget-wrap elementor-element-populated"> <div class="elementor-element elementor-element-4c17cfa elementor-widget elementor-widget-image" data-id="4c17cfa" data-element_type="widget" data-widget_type="image.default"> <div class="elementor-widget-container"> <img decoding="async" src="https://cdn.datalakehouse.org/media/sites/3/Iceberg.png" title="" alt="" loading="lazy" /> </div> </div> </div> </div> <div class="elementor-column elementor-col-50 elementor-inner-column elementor-element elementor-element-6663cf9" data-id="6663cf9" data-element_type="column"> <div class="elementor-widget-wrap elementor-element-populated"> <div class="elementor-element elementor-element-d76ad59 elementor-widget elementor-widget-text-editor" data-id="d76ad59" data-element_type="widget" data-widget_type="text-editor.default"> <div class="elementor-widget-container"> <p><span style="font-weight: 400;">&#8230; And that’s not even the tip of the iceberg </span><span style="font-weight: 400;">🤯</span><span style="font-weight: 400;"> Really, I could go on and on!</span></p> </div> </div> </div> </div> </div> </section> <div class="elementor-element elementor-element-0ae1687 elementor-widget elementor-widget-spacer" data-id="0ae1687" data-element_type="widget" data-widget_type="spacer.default"> <div class="elementor-widget-container"> <div class="elementor-spacer"> <div class="elementor-spacer-inner"></div> </div> </div> </div> <div class="elementor-element elementor-element-1216893 elementor-widget elementor-widget-text-editor" data-id="1216893" data-element_type="widget" data-widget_type="text-editor.default"> <div class="elementor-widget-container"> <p><span style="font-weight: 400;">To learn more about some of the insights and predictions DataLakeHouse can offer your business, contact one of our data experts for a demo 👇</span></p> </div> </div> <div class="elementor-element elementor-element-4cd8756 elementor-button-info elementor-align-center elementor-widget elementor-widget-button" data-id="4cd8756" data-element_type="widget" data-widget_type="button.default"> <div class="elementor-widget-container"> <div class="elementor-button-wrapper"> <a class="elementor-button elementor-button-link elementor-size-sm" href="https://www.datalakehouse.io/contact-us/"> <span class="elementor-button-content-wrapper"> <span class="elementor-button-text">Get In Touch</span> </span> </a> </div> </div> </div> </div> </div> </div> </section> </div>