{"id":180124,"date":"2024-06-04T22:31:07","date_gmt":"2024-06-04T21:31:07","guid":{"rendered":"https:\/\/datascientest.com\/en\/?p=180124"},"modified":"2024-02-25T23:27:03","modified_gmt":"2024-02-25T22:27:03","slug":"from-spreadsheets-to-data-warehouses-revolutionizing-startup-data-management","status":"publish","type":"post","link":"https:\/\/datascientest.com\/en\/from-spreadsheets-to-data-warehouses-revolutionizing-startup-data-management","title":{"rendered":"From Spreadsheets to Data Warehouses: Revolutionizing Startup Data Management"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"180124\" class=\"elementor elementor-180124\" data-elementor-post-type=\"post\">\n\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-0ae7cde e-flex e-con-boxed e-con\" data-id=\"0ae7cde\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-ea9386d elementor-widget elementor-widget-text-editor\" data-id=\"ea9386d\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.15.0 - 02-08-2023 *\/\n.elementor-widget-text-editor.elementor-drop-cap-view-stacked .elementor-drop-cap{background-color:#69727d;color:#fff}.elementor-widget-text-editor.elementor-drop-cap-view-framed .elementor-drop-cap{color:#69727d;border:3px solid;background-color:transparent}.elementor-widget-text-editor:not(.elementor-drop-cap-view-default) .elementor-drop-cap{margin-top:8px}.elementor-widget-text-editor:not(.elementor-drop-cap-view-default) .elementor-drop-cap-letter{width:1em;height:1em}.elementor-widget-text-editor .elementor-drop-cap{float:left;text-align:center;line-height:1;font-size:50px}.elementor-widget-text-editor .elementor-drop-cap-letter{display:inline-block}<\/style>\t\t\t\t<h2>On February 23, 2021, Alexandre Laloo, data product manager at sennder, presented a webinar to our community about using data in startups.<\/h2>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-4cd9d0e e-flex e-con-boxed e-con\" data-id=\"4cd9d0e\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-ca827e3 elementor-widget elementor-widget-heading\" data-id=\"ca827e3\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.15.0 - 02-08-2023 *\/\n.elementor-heading-title{padding:0;margin:0;line-height:1}.elementor-widget-heading .elementor-heading-title[class*=elementor-size-]>a{color:inherit;font-size:inherit;line-height:inherit}.elementor-widget-heading .elementor-heading-title.elementor-size-small{font-size:15px}.elementor-widget-heading .elementor-heading-title.elementor-size-medium{font-size:19px}.elementor-widget-heading .elementor-heading-title.elementor-size-large{font-size:29px}.elementor-widget-heading .elementor-heading-title.elementor-size-xl{font-size:39px}.elementor-widget-heading .elementor-heading-title.elementor-size-xxl{font-size:59px}<\/style><h3 class=\"elementor-heading-title elementor-size-default\">Webinar replay<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-f7c90cf elementor-widget__width-initial elementor-widget elementor-widget-video\" data-id=\"f7c90cf\" data-element_type=\"widget\" data-settings=\"{&quot;youtube_url&quot;:&quot;https:\\\/\\\/youtu.be\\\/-v4ohHwlE44&quot;,&quot;video_type&quot;:&quot;youtube&quot;,&quot;controls&quot;:&quot;yes&quot;}\" data-widget_type=\"video.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.15.0 - 02-08-2023 *\/\n.elementor-widget-video .elementor-widget-container{overflow:hidden;transform:translateZ(0)}.elementor-widget-video .elementor-wrapper{aspect-ratio:var(--video-aspect-ratio)}.elementor-widget-video .elementor-wrapper iframe,.elementor-widget-video .elementor-wrapper video{height:100%;width:100%;display:flex;border:none;background-color:#000}@supports not (aspect-ratio:1\/1){.elementor-widget-video .elementor-wrapper{position:relative;overflow:hidden;height:0;padding-bottom:calc(100% \/ var(--video-aspect-ratio))}.elementor-widget-video .elementor-wrapper iframe,.elementor-widget-video .elementor-wrapper video{position:absolute;top:0;right:0;bottom:0;left:0}}.elementor-widget-video .elementor-open-inline .elementor-custom-embed-image-overlay{position:absolute;top:0;right:0;bottom:0;left:0;background-size:cover;background-position:50%}.elementor-widget-video .elementor-custom-embed-image-overlay{cursor:pointer;text-align:center}.elementor-widget-video .elementor-custom-embed-image-overlay:hover .elementor-custom-embed-play i{opacity:1}.elementor-widget-video .elementor-custom-embed-image-overlay img{display:block;width:100%;aspect-ratio:var(--video-aspect-ratio);-o-object-fit:cover;object-fit:cover;-o-object-position:center center;object-position:center center}@supports not (aspect-ratio:1\/1){.elementor-widget-video .elementor-custom-embed-image-overlay{position:relative;overflow:hidden;height:0;padding-bottom:calc(100% \/ var(--video-aspect-ratio))}.elementor-widget-video .elementor-custom-embed-image-overlay img{position:absolute;top:0;right:0;bottom:0;left:0}}.elementor-widget-video .e-hosted-video .elementor-video{-o-object-fit:cover;object-fit:cover}.e-con-inner>.elementor-widget-video,.e-con>.elementor-widget-video{width:var(--container-widget-width);--flex-grow:var(--container-widget-flex-grow)}<\/style>\t\t<div class=\"elementor-wrapper elementor-open-inline\">\n\t\t\t<div class=\"elementor-video\"><\/div>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-4254e10 e-flex e-con-boxed e-con\" data-id=\"4254e10\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-d40140e elementor-widget elementor-widget-heading\" data-id=\"d40140e\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Alexandre Laloo and sennder<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-137e581 elementor-widget elementor-widget-text-editor\" data-id=\"137e581\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>A graduate of a top business school<strong>, Alexandre Laloo joined Everoad in 2017 when the company had just twenty employees.<\/strong> This startup, specialized in the digitalization of road haulage, merged with sennder, its German competitor, in 2020. The company, which kept the sennder brand name, now has over 700 employees and has raised over 260 million euros. Alexandre has witnessed the company&#8217;s growth and the evolution of its approach to data.<\/p><p>Initially an operations manager, his role was to analyze the <strong>company&#8217;s business through the data it collected.<\/strong> His current role as data product manager involves directing the analytics roadmap, i.e. ensuring that data is properly disseminated throughout the company.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-7a92824 e-flex e-con-boxed e-con\" data-id=\"7a92824\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-e9ea9ee elementor-widget elementor-widget-heading\" data-id=\"e9ea9ee\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Data processing in startups<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-a3b564c elementor-widget elementor-widget-heading\" data-id=\"a3b564c\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h4 class=\"elementor-heading-title elementor-size-default\">1. A company's relationship with data depends on its market<\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-5847aed elementor-widget elementor-widget-text-editor\" data-id=\"5847aed\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>The term &#8220;<strong>startup<\/strong>&#8221; is much used in the news, and encompasses very different types of company. It is therefore impossible to generalize about the use of data in these organizations, as it is processed to respond to issues specific to each sector. In some fields, such as gaming or travel tech, data is a priority right from the start, as the company needs it to understand its market and product. In other sectors, the need for Data Analysts or <a href=\"https:\/\/datascientest.com\/en\/unlock-your-future-dive-into-machine-learning-engineer-training\">Machine Learning Engineers<\/a> is less important at the outset. For example, sennder didn&#8217;t hire a <a href=\"https:\/\/datascientest.com\/en\/machine-learning-engineer-bootcamp-why-is-it-interesting\">Machine Learning Engineer<\/a> in its first 3 years.<\/p><p>Each start-up&#8217;s market will thus determine its data needs, i.e. the proportion of the budget allocated to data, on the one hand to recruit experts (Product Managers, Data Analysts, Data Scientists or Data Engineers) and on the other hand to equip itself with powerful analysis and processing tools. Indeed, integrating an enterprise cloud represents a substantial investment.<\/p><p>The priority of data for a start-up will depend on several criteria:<\/p><ul><li><strong>The nature of the product:<\/strong> mobile application, website, physical product, etc.<\/li><li><strong>Market<\/strong>: transport, agri-food, finance, etc.<br \/>The volume of data available<\/li><li><strong>The company&#8217;s data culture:<\/strong> even if data becomes indispensable at a certain level of growth, investment will also depend on this factor.<\/li><\/ul>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-8b6eb3e elementor-widget elementor-widget-heading\" data-id=\"8b6eb3e\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h4 class=\"elementor-heading-title elementor-size-default\">2. Statup financing cycles<\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-51ffc10 elementor-widget elementor-widget-text-editor\" data-id=\"51ffc10\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>In addition to the market in which the company operates, its maturity &#8211; which can be assessed using <a href=\"https:\/\/datascientest.com\/en\/synergies-unveiled-the-dynamic-intersection-of-data-science-and-finance\">financing cycles<\/a> &#8211; will also determine the way it approaches its data.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-819f4ab elementor-widget elementor-widget-image\" data-id=\"819f4ab\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.15.0 - 02-08-2023 *\/\n.elementor-widget-image{text-align:center}.elementor-widget-image a{display:inline-block}.elementor-widget-image a img[src$=\".svg\"]{width:48px}.elementor-widget-image img{vertical-align:middle;display:inline-block}<\/style>\t\t\t\t\t\t\t\t\t<figure class=\"wp-caption\">\n\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" width=\"500\" height=\"765\" src=\"https:\/\/datascientest.com\/en\/files\/2023\/10\/Image-26-04-2021-a-15.06.jpg\" class=\"attachment-large size-large wp-image-172016\" alt=\"\" srcset=\"https:\/\/datascientest.com\/en\/files\/2023\/10\/Image-26-04-2021-a-15.06.jpg 500w, https:\/\/datascientest.com\/en\/files\/2023\/10\/Image-26-04-2021-a-15.06-196x300.jpg 196w\" sizes=\"(max-width: 500px) 100vw, 500px\" \/>\t\t\t\t\t\t\t\t\t\t\t<figcaption class=\"widget-image-caption wp-caption-text\"><\/figcaption>\n\t\t\t\t\t\t\t\t\t\t<\/figure>\n\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-9f88429 elementor-widget elementor-widget-text-editor\" data-id=\"9f88429\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>Alexandre offers us a table that takes into account the market on the one hand and the maturity of the company on the other, to assess the need for data and the scale of the investment devoted to data.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-1cbcba0 elementor-widget elementor-widget-image\" data-id=\"1cbcba0\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t<figure class=\"wp-caption\">\n\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" src=\"https:\/\/datascientest.com\/wp-content\/uploads\/2021\/03\/2021-03-17-12_10_10-Webinar-Sennder-Google-Docs-1.png\" title=\"\" alt=\"\" loading=\"lazy\" \/>\t\t\t\t\t\t\t\t\t\t\t<figcaption class=\"widget-image-caption wp-caption-text\"><\/figcaption>\n\t\t\t\t\t\t\t\t\t\t<\/figure>\n\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-406f738 elementor-widget elementor-widget-text-editor\" data-id=\"406f738\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>For <a href=\"https:\/\/datascientest.com\/en\/crm-customer-relationship-management-how-does-it-work\">example, for an e-commerce site, the need is &#8220;intermediate&#8221;<\/a>, as its priority is to invest in digital marketing to get off the ground. Its data strategy will focus on analyzing marketing campaigns and their performance (ROI calculations, for example).<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-1879808 elementor-align-center button-principale elementor-widget elementor-widget-button\" data-id=\"1879808\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm elementor-animation-grow\" href=\"https:\/\/datascientest.com\/en\/data-courses\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-text\">Discover our data training courses<\/span>\n\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-98b9852 e-flex e-con-boxed e-con\" data-id=\"98b9852\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-0342ae0 elementor-widget elementor-widget-heading\" data-id=\"0342ae0\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">The evolution of tools: from spreadsheets to data warehouses<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-37b4f79 elementor-widget elementor-widget-text-editor\" data-id=\"37b4f79\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>This <strong>section presents<\/strong> the evolution of the issues and tools used by Everoad and Sander from 2017 to the present day. At the start of its activity, the volume of data collected by Everoad was relatively low, and the company&#8217;s priority was not to analyze data but to develop its road haulage business.<\/p><p>Today, <a href=\"https:\/\/datascientest.com\/en\/unraveling-machine-learning-vs-deep-learning-key-differences-explained\">Machine Learning represents a major investment for sennder<\/a>, in particular to optimize hauliers&#8217; routes and offer intelligent pricing. This change in approach to data has been gradual, and this section describes the steps that have led the company to its current level of expertise.<\/p><p>\u00a0<\/p><p>\ud83d\udca1Related articles:<\/p><table dir=\"ltr\" border=\"1\" cellspacing=\"0\" cellpadding=\"0\" data-sheets-root=\"1\"><colgroup><col width=\"656\" \/><\/colgroup><tbody><tr><td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;Image Processing&quot;}\" data-sheets-hyperlink=\"https:\/\/datascientest.com\/en\/image-processing-fundamental-principles-and-practical-uses\"><a class=\"in-cell-link\" href=\"https:\/\/datascientest.com\/en\/image-processing-fundamental-principles-and-practical-uses\" target=\"_blank\" rel=\"noopener\">Image Processing<\/a><\/td><\/tr><tr><td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;Deep Learning - All you need to know&quot;}\" data-sheets-hyperlink=\"https:\/\/datascientest.com\/en\/all-about-deep-learning\"><a class=\"in-cell-link\" href=\"https:\/\/datascientest.com\/en\/all-about-deep-learning\" target=\"_blank\" rel=\"noopener\">Deep Learning &#8211; All you need to know<\/a><\/td><\/tr><tr><td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;Mushroom Recognition&quot;}\" data-sheets-hyperlink=\"https:\/\/datascientest.com\/en\/mushroom-recognition\"><a class=\"in-cell-link\" href=\"https:\/\/datascientest.com\/en\/mushroom-recognition\" target=\"_blank\" rel=\"noopener\">Mushroom Recognition<\/a><\/td><\/tr><tr><td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;Tensor Flow - Google's ML&quot;}\" data-sheets-hyperlink=\"https:\/\/datascientest.com\/en\/tensor-flow-all-about-googles-machine-learning-framework\"><a class=\"in-cell-link\" href=\"https:\/\/datascientest.com\/en\/tensor-flow-all-about-googles-machine-learning-framework\" target=\"_blank\" rel=\"noopener\">Tensor Flow &#8211; Google&#8217;s ML<\/a><\/td><\/tr><\/tbody><\/table>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-be06651 elementor-widget elementor-widget-heading\" data-id=\"be06651\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h4 class=\"elementor-heading-title elementor-size-default\">- Step 0: Google Sheets files<\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-57d111b elementor-widget elementor-widget-text-editor\" data-id=\"57d111b\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>In 2017, <strong>Everoad was in the early stages of its business and hadn&#8217;t yet made its A series.<\/strong> The company was using a simple bot on Slack to retrieve a csv file daily that gave information on the previous day&#8217;s activity, there was no visualization, no real-time collection. The collection of information provided a basic understanding of the transport operations carried out, which was sufficient at the growth stage.<\/p><p>However, this solution did not allow users to work autonomously, and the technical team had to be called in at the slightest need.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-af01168 elementor-widget elementor-widget-heading\" data-id=\"af01168\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h4 class=\"elementor-heading-title elementor-size-default\">- Step 1: Activate the data distribution lever<\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-f45d541 elementor-widget elementor-widget-text-editor\" data-id=\"f45d541\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>The next objective is to address the issue of data distribution in reporting tools. This stage relies on Google sheets, which can be used to create scripts to automatically send data from one file to another.<\/p><p>At this stage, <strong>Everoad had not yet hired any data experts.<\/strong> Alexandre was an operations manager, whose role was to analyze the business and gain an overview of operations. Data was not yet a priority until a certain stage, at which point the spreadsheet system was not sufficient to handle the growing volume of data to be processed.<\/p><p>This system was functional and could meet the most basic reporting needs, but it was based on a single data source, and allowed data to be viewed from a single analysis angle.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-b36bfdd elementor-widget elementor-widget-heading\" data-id=\"b36bfdd\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h4 class=\"elementor-heading-title elementor-size-default\">- Step 2: Database query tool<\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-a62897c elementor-widget elementor-widget-text-editor\" data-id=\"a62897c\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>The next step was to implement a tool to run queries on different databases and provide different angles of analysis. Everoad opted for Redash (since acquired by <a href=\"https:\/\/datascientest.com\/en\/what-you-didnt-know-about-azure-databricks\">Databricks)<\/a> to run these queries and send data to different google sheets.<\/p><p>This tool made it possible to extract value from multiple data sources, run more flexible queries and be more autonomous from the technical team, who were nonetheless indispensable to the processes in place. Data was automatically updated every 2\/3h.<\/p><p>A <a href=\"https:\/\/datascientest.com\/en\/data-analyst-salary-average-salary-revealed\">Data Analyst joined the team<\/a> and various reports were produced (commercial and operational). This operation lasted 8 months before becoming too fragile in the face of Everoad&#8217;s growth.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-dced5b9 elementor-widget elementor-widget-heading\" data-id=\"dced5b9\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h4 class=\"elementor-heading-title elementor-size-default\">- Step 3: Data Warehouse<\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-8f233de elementor-widget elementor-widget-text-editor\" data-id=\"8f233de\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>Stage 3 involves the<a href=\"https:\/\/datascientest.com\/en\/devops-training-how-to-master-github-docker-or-apache-airflow\"> integration of Airflow<\/a> and Big Query to manage the layers of data: storage, processing and sharing of data with users. This step marked a turning point in data processing for Everoad, which recruited three Data Analysts and a Data Engineer, demonstrating the company&#8217;s interest in its data.<\/p><p>The<a href=\"https:\/\/datascientest.com\/en\/data-engineer-everything-you-need-to-know-about-the-job\"> data team could now perform modeling and data modeling on its databases.<\/a> Reporting was automated and product analyses could be produced.<\/p><p>However, no analytical visualization platform had been set up, and<a href=\"https:\/\/datascientest.com\/en\/power-bi-microsofts-business-intelligence-solution\"> business intelligence<\/a> tools were fragile, with the company still using spreadsheets and Google data studio. The teams were not yet dealing with governance issues, i.e. the management of data access and distribution within the company. This stage lasted two years, until the merger with sennder.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-2fbfb0f elementor-widget elementor-widget-heading\" data-id=\"2fbfb0f\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h4 class=\"elementor-heading-title elementor-size-default\">- Step 4: Governance, Data mart and Data Library<\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-0458cd4 elementor-widget elementor-widget-text-editor\" data-id=\"0458cd4\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>After joining sennder, the company recruited 4 data engineers and its tool stack has evolved considerably. Data governance has been put in place with Looker, and the data flow arrives in real time and can be directly exploited. Databases are automatically updated every 30 minutes.<\/p><p>The data team covers 100% of the business: all departments get analytical reports on their activities with <a href=\"https:\/\/datascientest.com\/en\/our-guide-to-power-bi-kpi-definition-and-purpose\">KPIs<\/a> that concern them, so 600 users consume data within the company.<\/p><p>The company has a data mart (or data store) that defines who needs what data and how to distribute it. Training modules have also been set up to enable users to improve their skills.<\/p><p>Data processes to be followed have been defined, with &#8220;best practices&#8221; and a data library to document what is done with data, always with a view to serving 3 types of user: business user, product user, data team user.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-0a7f8e4 elementor-align-center button-principale elementor-widget elementor-widget-button\" data-id=\"0a7f8e4\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm elementor-animation-grow\" href=\"https:\/\/datascientest.com\/en\/data-courses\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-text\">Learn to master data warehouses<\/span>\n\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-b959184 e-flex e-con-boxed e-con\" data-id=\"b959184\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-22e89eb elementor-widget elementor-widget-heading\" data-id=\"22e89eb\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Conclusion<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-d5e0691 elementor-widget elementor-widget-text-editor\" data-id=\"d5e0691\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><strong>Exploiting the data collected<\/strong> is now an essential part of any company&#8217;s business, and represents a considerable growth lever. However, the level of priority given to data processing depends on both the business sector and the maturity of the company.<\/p><p>So, depending on the startup, interest in data comes into play at an earlier or later stage in the company&#8217;s growth, as illustrated by the stages described by Alexandre for Everoad and sennder.<\/p><p>In this webinar, Alexandre Laloo showed us that it&#8217;s possible to take an interest in data, start <strong>integrating databases<\/strong> and provide the first basic analyses without a budget, using free or freemium tools.<\/p><p>The process that has led sennder to its current status has been gradual, and has always responded to the needs generated by its growth.<\/p><p>This is an encouraging message for startups whose data doesn&#8217;t fit into their budget, as a simple treatment of their data can enable them to optimize their products and services without requiring a lot of resources.<\/p><p>DataScientest would like to thank Alexandre Laloo for his time and the quality of his presentation during this webinar, which showed us that the use of data sciences now concerns all sectors of activity, from finance to agri-food to road haulage.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-fff65e1 elementor-widget elementor-widget-text-editor\" data-id=\"fff65e1\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<blockquote><p>Are you a start-up looking to exploit your data? DataScientest does it for you, free of charge!<\/p><\/blockquote>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-6457549 elementor-align-center button-principale elementor-widget elementor-widget-button\" data-id=\"6457549\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm elementor-animation-grow\" href=\"https:\/\/datascientest.com\/en\/company-data-couse\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-text\">Read more<\/span>\n\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>On February 23, 2021, Alexandre Laloo, data product manager at sennder, presented a webinar to our community about using data in startups. Webinar replay Alexandre Laloo and sennder A graduate of a top business school, Alexandre Laloo joined Everoad in 2017 when the company had just twenty employees. This startup, specialized in the digitalization of [&hellip;]<\/p>\n","protected":false},"author":67,"featured_media":180126,"comment_status":"open","ping_status":"open","sticky":false,"template":"elementor_theme","format":"standard","meta":{"content-type":"","inline_featured_image":false},"categories":[2425],"tags":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v21.7 (Yoast SEO v21.7) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>From Spreadsheets to Data Warehouses: Revolutionizing Startup Data Management<\/title>\n<meta name=\"description\" content=\"Explore the journey of startup data management from manual spreadsheets to sophisticated data warehouse solutions\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/datascientest.com\/en\/from-spreadsheets-to-data-warehouses-revolutionizing-startup-data-management\" \/>\n<meta property=\"og:locale\" content=\"en_GB\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"From Spreadsheets to Data Warehouses: Revolutionizing Startup Data Management\" \/>\n<meta property=\"og:description\" content=\"On February 23, 2021, Alexandre Laloo, data product manager at sennder, presented a webinar to our community about using data in startups. 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