{"id":5602,"date":"2014-09-18T21:40:05","date_gmt":"2014-09-18T16:10:05","guid":{"rendered":"http:\/\/ivyproschool.com\/blog\/?p=5602"},"modified":"2025-03-29T15:39:21","modified_gmt":"2025-03-29T10:09:21","slug":"a-cheat-sheet-on-how-to-tackle-an-analytics-project","status":"publish","type":"post","link":"https:\/\/ivyproschool.com\/blog\/a-cheat-sheet-on-how-to-tackle-an-analytics-project\/","title":{"rendered":"A cheat sheet on how to tackle an Analytics Project"},"content":{"rendered":"<p>Analytics helps solve many problems across various application areas like healthcare, retail, climate science, crime, banking, fraud and more. Each of these different applications calls for some basic domain knowledge. For instance, to solve a problem of your retailer client, you would need to have an idea of retail operations in general.<\/p>\n<p>However, what happens when you are assigned a problem or project?<\/p>\n<p>Does the approach differ? No. The Analytics Project Life Cycle goes through some typical stages.<\/p>\n<p style=\"text-align: center;\"><a href=\"https:\/\/ivyproschool.com\/blog\/wp-content\/uploads\/2014\/09\/Analytics-life-cycle21.png\"><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-5604\" src=\"https:\/\/ivyproschool.com\/blog\/wp-content\/uploads\/2014\/09\/Analytics-life-cycle21-300x214.png\" alt=\"Analytics life cycle2\" width=\"389\" height=\"278\" srcset=\"https:\/\/ivyproschool.com\/blog\/wp-content\/uploads\/2014\/09\/Analytics-life-cycle21-300x214.png 300w, https:\/\/ivyproschool.com\/blog\/wp-content\/uploads\/2014\/09\/Analytics-life-cycle21.png 601w\" sizes=\"auto, (max-width: 389px) 100vw, 389px\" \/><\/a><\/p>\n<p style=\"text-align: center;\">\u00a0<em><strong>The Analytics Project Life Cycle<\/strong><\/em><\/p>\n<ol>\n<li><strong>What is the Problem?<\/strong><\/li>\n<\/ol>\n<ul>\n<li>Understand the type of problem for analysis &#8211; predictive analytics, prescriptive analytics, machine-to-machine implementation, root cause analysis, and so on.<\/li>\n<li>Define the problem \/ project objective \u2013 the steps, metrics<\/li>\n<li>Understand scope of the project \u2013 specifics, budgets, time, other considerations<\/li>\n<li>Draft schedule and scope<\/li>\n<li>How to tackle the project &#8211; develop customised in-house solution or implement a vendor product. Benchmark products for the latter.<\/li>\n<\/ul>\n<ol start=\"2\">\n<li><strong>What are the available data sources?<\/strong><\/li>\n<\/ol>\n<ul>\n<li>\u2018Extract\u2019 or compile available data<\/li>\n<li>Evaluate data quality<\/li>\n<li>Perform EDA (Exploratory Data Analysis)<\/li>\n<li>Populate fields<\/li>\n<li>Clean your data, improve quality and consistency<\/li>\n<li>Is the available data sufficient to solve the problem?<\/li>\n<\/ul>\n<ol start=\"3\">\n<li><strong>What additional data do your require?<\/strong><\/li>\n<\/ol>\n<ul>\n<li>Any historical data required<\/li>\n<li>Whether data is required in real-time<\/li>\n<li>Address the storage and access of such data<\/li>\n<li>Fields needed<\/li>\n<li>Granularity desired<\/li>\n<\/ul>\n<ol start=\"4\">\n<li><strong>What analysis would you implement?<\/strong><\/li>\n<\/ol>\n<ul>\n<li>Address the next step &#8211; how to \u2018Transform\u2019 the data<\/li>\n<li>Identify and remove outliers<\/li>\n<li>Selecting appropriate imputation methodology<\/li>\n<li>Conduct cross-correlation<\/li>\n<li>Select best-fit model<\/li>\n<li>Apply Sensitivity analysis<\/li>\n<li>Measure and test the model<\/li>\n<\/ul>\n<ol start=\"5\">\n<li><strong>How to implement or deploy the model?<\/strong><\/li>\n<\/ol>\n<ul>\n<li>Address encoding or recoding of model<\/li>\n<li>Verification of model \u2013 temporal logic, scalability, verification algorithms to use<\/li>\n<li>Checking and debugging<\/li>\n<li>Frequency of updation<\/li>\n<li>Need for an API<\/li>\n<li>Workflow analysis tools<\/li>\n<\/ul>\n<ol start=\"6\">\n<li><strong>How to communicate?<\/strong><\/li>\n<\/ol>\n<ul>\n<li>Dashboard architecture<\/li>\n<li>Modes of Visualisation<\/li>\n<li>Integrations of results<\/li>\n<li>Reporting<\/li>\n<li>Are the key deliverables adequately represented?<strong>\u00a0<\/strong><\/li>\n<\/ul>\n<ol start=\"7\">\n<li><strong>Does it require maintenance or monitoring?<\/strong><\/li>\n<\/ol>\n<ul>\n<li>Post implementation review and versioning<\/li>\n<li>Model monitoring \u2013 placing alerts and processes for problem resolution<\/li>\n<li>Real-world testing \u2013 stress tests, other tools to use<\/li>\n<li>Metadata to attach to facilitate future troubleshooting<\/li>\n<li>Follow-up on team feedback<\/li>\n<li>Recommendations for action<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>Projects are part of your analytics training, portfolio building and client jobs. If your are about to undertake a project, look up this cheat sheet on how to tackle your project through the analytics life cycle. <\/p>\n","protected":false},"author":7,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[5],"tags":[485,487,486],"class_list":["post-5602","post","type-post","status-publish","format-standard","hentry","category-data-analytics","tag-analytics-project","tag-how-to-tackle","tag-life-cycle"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.3 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>How to Tackle an Analytics Project: A Complete Cheat Sheet<\/title>\n<meta name=\"description\" content=\"Master the steps of tackling an analytics project, from problem definition to model deployment and communication. Explore the essential stages of the analytics project life cycle.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/ivyproschool.com\/blog\/a-cheat-sheet-on-how-to-tackle-an-analytics-project\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"How to Tackle an Analytics Project: A Complete Cheat Sheet\" \/>\n<meta property=\"og:description\" content=\"Master the steps of tackling an analytics project, from problem definition to model deployment and communication. Explore the essential stages of the analytics project life cycle.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/ivyproschool.com\/blog\/a-cheat-sheet-on-how-to-tackle-an-analytics-project\/\" \/>\n<meta property=\"og:site_name\" content=\"R vs Python: Which Analytics Tool Should You Choose for Data Science?\" \/>\n<meta property=\"article:author\" content=\"https:\/\/facebook.com\/ivyproschool\" \/>\n<meta property=\"article:published_time\" content=\"2014-09-18T16:10:05+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2025-03-29T10:09:21+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/ivyproschool.com\/blog\/wp-content\/uploads\/2014\/09\/Analytics-life-cycle21-300x214.png\" \/>\n<meta name=\"author\" content=\"Ivy Professional School\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:creator\" content=\"@ivyproschool\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Ivy Professional School\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"2 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\\\/\\\/ivyproschool.com\\\/blog\\\/a-cheat-sheet-on-how-to-tackle-an-analytics-project\\\/#article\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/ivyproschool.com\\\/blog\\\/a-cheat-sheet-on-how-to-tackle-an-analytics-project\\\/\"},\"author\":{\"name\":\"Ivy Professional School\",\"@id\":\"https:\\\/\\\/ivyproschool.com\\\/blog\\\/#\\\/schema\\\/person\\\/31fdab8559dd3db99173764bfb60215d\"},\"headline\":\"A cheat sheet on how to tackle an Analytics Project\",\"datePublished\":\"2014-09-18T16:10:05+00:00\",\"dateModified\":\"2025-03-29T10:09:21+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\\\/\\\/ivyproschool.com\\\/blog\\\/a-cheat-sheet-on-how-to-tackle-an-analytics-project\\\/\"},\"wordCount\":356,\"commentCount\":0,\"image\":{\"@id\":\"https:\\\/\\\/ivyproschool.com\\\/blog\\\/a-cheat-sheet-on-how-to-tackle-an-analytics-project\\\/#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/ivyproschool.com\\\/blog\\\/wp-content\\\/uploads\\\/2014\\\/09\\\/Analytics-life-cycle21-300x214.png\",\"keywords\":[\"analytics project\",\"how to tackle\",\"life cycle\"],\"articleSection\":[\"Data Analytics\"],\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"CommentAction\",\"name\":\"Comment\",\"target\":[\"https:\\\/\\\/ivyproschool.com\\\/blog\\\/a-cheat-sheet-on-how-to-tackle-an-analytics-project\\\/#respond\"]}]},{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/ivyproschool.com\\\/blog\\\/a-cheat-sheet-on-how-to-tackle-an-analytics-project\\\/\",\"url\":\"https:\\\/\\\/ivyproschool.com\\\/blog\\\/a-cheat-sheet-on-how-to-tackle-an-analytics-project\\\/\",\"name\":\"How to Tackle an Analytics Project: A Complete Cheat Sheet\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/ivyproschool.com\\\/blog\\\/#website\"},\"primaryImageOfPage\":{\"@id\":\"https:\\\/\\\/ivyproschool.com\\\/blog\\\/a-cheat-sheet-on-how-to-tackle-an-analytics-project\\\/#primaryimage\"},\"image\":{\"@id\":\"https:\\\/\\\/ivyproschool.com\\\/blog\\\/a-cheat-sheet-on-how-to-tackle-an-analytics-project\\\/#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/ivyproschool.com\\\/blog\\\/wp-content\\\/uploads\\\/2014\\\/09\\\/Analytics-life-cycle21-300x214.png\",\"datePublished\":\"2014-09-18T16:10:05+00:00\",\"dateModified\":\"2025-03-29T10:09:21+00:00\",\"author\":{\"@id\":\"https:\\\/\\\/ivyproschool.com\\\/blog\\\/#\\\/schema\\\/person\\\/31fdab8559dd3db99173764bfb60215d\"},\"description\":\"Master the steps of tackling an analytics project, from problem definition to model deployment and communication. 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