{"id":2543,"date":"2021-11-10T18:59:58","date_gmt":"2021-11-10T17:59:58","guid":{"rendered":"https:\/\/dev.littlebigcode.fr\/cas-client\/plateforme-danalyse-de-besoins-clients\/"},"modified":"2021-11-16T17:28:03","modified_gmt":"2021-11-16T16:28:03","slug":"customer-needs-analysis-platform","status":"publish","type":"cas-client","link":"https:\/\/dev.littlebigcode.fr\/en\/cas-client\/customer-needs-analysis-platform\/","title":{"rendered":"Customer needs analysis platform"},"content":{"rendered":"<style>\nh3 {color : #1CACE4}<br \/><\/style>\n<h3><strong>Context and problematic<\/strong><\/h3>\n<p><\/p>\n<p>Our client wants to possess a good vision of the current and future needs of his clients. Therefore, it was all the more important to aggregate a very large amount of data on each of the consumers. After a successful POC, we worked on the development of a platform for daily reporting.<\/p>\n<p><\/p>\n<h3><strong>Goals<\/strong><\/h3>\n<p><\/p>\n<p>Prove that the project is feasible with a first POC of a few days<br \/>\nIngestion and pre-cleaning of data providers while industrializing the analysis and prediction models developed<br \/>\nAllow end users to visualize current and future needs<\/p>\n<h3><\/h3>\n<p><\/p>\n<h3><strong>Our intervention<\/strong><\/h3>\n<p><\/p>\n<p>2 Data Scientist, 1 Data Engineer, 1 Data Architect, 1 Full-Stack developer<\/p>\n<ul>\n<li>Definition of the scope and launch of a pilot project to validate the feasibility in 8 weeks<\/li>\n<li>Implementation of the project architecture on AWS<\/li>\n<li>Integration of machine learning algorithms<\/li>\n<li>Development of analysis and prediction algorithms<\/li>\n<li>Development of the visualization application in reactJS and VueJS<\/li>\n<\/ul>\n<p><\/p>\n<h3><strong>R\u00e9sults<\/strong><\/h3>\n<p><\/p>\n<p>Platform is functional since December 2019 for the business across all France entities.<br \/>\nIn the industrialization phase for the customer at the group level.<br \/>\nEven till date, we are working on the analysis of new perimeters such as its e-reputation.<\/p>\n<p><\/p>\n<h3><strong>Technical environment<\/strong><\/h3>\n<p><\/p>\n<p>Python &#8211; Go &#8211; Typescript &#8211; Sklearn &#8211; reactJS &#8211; VueJS &#8211; NodeJS<br \/>\nAWS S3 &#8211; VPC &#8211; IAM &#8211; Cognito &#8211; ECS\/ECR &#8211; Lambda &#8211; Glue &#8211; RDS &#8211; Fargate<br \/>\nBatch &#8211; WAF &#8211; API Gateway &#8211; DynamoDB &#8211; ElasticCache &#8211; Route53 &#8211; EventBridge &#8211; SageMaker Elastic Search &#8211; Kibana<br \/>\nDocker &#8211; Kubernetes &#8211; Terraform<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Context and problematic Our client wants to possess a good vision of the current and future needs of his clients. Therefore, it was all the more important to aggregate a very large amount of data on each of the consumers. After a successful POC, we worked on the development of a platform for daily reporting. [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":1623,"comment_status":"closed","ping_status":"open","template":"","meta":{"_et_pb_use_builder":"","_et_pb_old_content":"","_et_gb_content_width":""},"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v19.7.1 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Customer needs analysis platform | LittleBigCode - Data &amp; AI<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/dev.littlebigcode.fr\/en\/cas-client\/customer-needs-analysis-platform\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Customer needs analysis platform | LittleBigCode - Data &amp; AI\" \/>\n<meta property=\"og:description\" content=\"Context and problematic Our client wants to possess a good vision of the current and future needs of his clients. 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