{"id":4644,"date":"2020-09-17T12:03:04","date_gmt":"2020-09-17T10:03:04","guid":{"rendered":"https:\/\/analytyk.com\/?page_id=4644"},"modified":"2025-05-29T13:50:07","modified_gmt":"2025-05-29T11:50:07","slug":"case-studies-insights","status":"publish","type":"page","link":"https:\/\/www.analytyk.com\/fr\/case-studies-insights\/","title":{"rendered":"Case Studies &#038; Insights"},"content":{"rendered":"<p>[vc_row el_id=&#8221;assainissement&#8221;][vc_column width=&#8221;1\/4&#8243;][\/vc_column][vc_column width=&#8221;1\/2&#8243;][mgt_header_block_wp title=&#8221;Case Studies &amp; Insights&#8221; align=&#8221;center&#8221; texttransform=&#8221;subheader&#8221; fontsize=&#8221;medium&#8221; line_color=&#8221;#2f9bea&#8221; line_color_grad=&#8221;#73ccb0&#8243; line_grad=&#8221;true&#8221;][\/vc_column][vc_column width=&#8221;1\/4&#8243;][\/vc_column][\/vc_row][vc_row][vc_column width=&#8221;1\/6&#8243;][\/vc_column][vc_column width=&#8221;2\/3&#8243;][vc_column_text el_class=&#8221;text-size-medium&#8221;]<\/p>\n<p data-start=\"222\" data-end=\"444\">At Analytyk, we believe in showing, not just telling.<br data-start=\"275\" data-end=\"278\" \/>Our portfolio spans multiple sectors, geographies, and modelling approaches \u2014 but the goal is always the same:<br data-start=\"388\" data-end=\"391\" \/><strong data-start=\"391\" data-end=\"443\">delivering insight that drives smarter decisions<\/strong>.<\/p>\n<p data-start=\"446\" data-end=\"603\">Below is a selection of our past work.<br data-start=\"484\" data-end=\"487\" \/>Each case reflects our approach to solving real-world problems through rigorous and tailored quantitative modelling.<\/p>\n<hr data-start=\"605\" data-end=\"608\" \/>\n<h3 data-start=\"610\" data-end=\"675\"><strong data-start=\"614\" data-end=\"675\">1. Measuring the Economic Impact of Corporate Investments<\/strong><\/h3>\n<ul data-start=\"677\" data-end=\"1150\">\n<li data-start=\"677\" data-end=\"718\">\n<p data-start=\"679\" data-end=\"718\"><strong data-start=\"679\" data-end=\"690\">Client:<\/strong> Major global tech company<\/p>\n<\/li>\n<li data-start=\"719\" data-end=\"750\">\n<p data-start=\"721\" data-end=\"750\"><strong data-start=\"721\" data-end=\"734\">Emplacement:<\/strong> \u00c9tats-Unis<\/p>\n<\/li>\n<li data-start=\"751\" data-end=\"853\">\n<p data-start=\"753\" data-end=\"853\"><strong data-start=\"753\" data-end=\"767\">D\u00e9fi:<\/strong> Assessing the socioeconomic effects of large-scale investments across U.S. counties<\/p>\n<\/li>\n<li data-start=\"854\" data-end=\"1011\">\n<p data-start=\"856\" data-end=\"1011\"><strong data-start=\"856\" data-end=\"869\">Approche:<\/strong> Applied difference-in-differences and augmented synthetic control methods to estimate impacts on employment, poverty, and local development<\/p>\n<\/li>\n<li data-start=\"1012\" data-end=\"1150\">\n<p data-start=\"1014\" data-end=\"1150\"><strong data-start=\"1014\" data-end=\"1026\">R\u00e9sultat:<\/strong> Identified heterogeneous impacts across regions, informing the client\u2019s community engagement and future investment strategy<\/p>\n<\/li>\n<\/ul>\n<hr data-start=\"1152\" data-end=\"1155\" \/>\n<h3 data-start=\"1157\" data-end=\"1210\"><strong data-start=\"1161\" data-end=\"1210\">2. Cyber Risk Modelling for the Public Sector<\/strong><\/h3>\n<ul data-start=\"1212\" data-end=\"1614\">\n<li data-start=\"1212\" data-end=\"1249\">\n<p data-start=\"1214\" data-end=\"1249\"><strong data-start=\"1214\" data-end=\"1225\">Client:<\/strong> Government department<\/p>\n<\/li>\n<li data-start=\"1250\" data-end=\"1282\">\n<p data-start=\"1252\" data-end=\"1282\"><strong data-start=\"1252\" data-end=\"1265\">Emplacement:<\/strong> United Kingdom<\/p>\n<\/li>\n<li data-start=\"1283\" data-end=\"1377\">\n<p data-start=\"1285\" data-end=\"1377\"><strong data-start=\"1285\" data-end=\"1299\">D\u00e9fi:<\/strong> Estimating the potential cost of cyberattacks across various incident types<\/p>\n<\/li>\n<li data-start=\"1378\" data-end=\"1506\">\n<p data-start=\"1380\" data-end=\"1506\"><strong data-start=\"1380\" data-end=\"1393\">Approche:<\/strong> Developed a Monte Carlo simulation model using lognormal cost distributions and correlated sampling techniques<\/p>\n<\/li>\n<li data-start=\"1507\" data-end=\"1614\">\n<p data-start=\"1509\" data-end=\"1614\"><strong data-start=\"1509\" data-end=\"1521\">R\u00e9sultat:<\/strong> Delivered dashboards and scenario tools to support risk preparedness and resource allocation<\/p>\n<\/li>\n<\/ul>\n<hr data-start=\"1616\" data-end=\"1619\" \/>\n<h3 data-start=\"1621\" data-end=\"1672\"><strong data-start=\"1625\" data-end=\"1672\">3. Policy Evaluation in Border County Pairs<\/strong><\/h3>\n<ul data-start=\"1674\" data-end=\"2094\">\n<li data-start=\"1674\" data-end=\"1715\">\n<p data-start=\"1676\" data-end=\"1715\"><strong data-start=\"1676\" data-end=\"1687\">Client:<\/strong> Policy research institute<\/p>\n<\/li>\n<li data-start=\"1716\" data-end=\"1747\">\n<p data-start=\"1718\" data-end=\"1747\"><strong data-start=\"1718\" data-end=\"1731\">Emplacement:<\/strong> \u00c9tats-Unis<\/p>\n<\/li>\n<li data-start=\"1748\" data-end=\"1860\">\n<p data-start=\"1750\" data-end=\"1860\"><strong data-start=\"1750\" data-end=\"1764\">D\u00e9fi:<\/strong> Evaluating employment and welfare spillovers in neighbouring counties after major investments<\/p>\n<\/li>\n<li data-start=\"1861\" data-end=\"1993\">\n<p data-start=\"1863\" data-end=\"1993\"><strong data-start=\"1863\" data-end=\"1876\">Approche:<\/strong> Used border county pair fixed effects models and descriptive growth analysis across eight socioeconomic indicators<\/p>\n<\/li>\n<li data-start=\"1994\" data-end=\"2094\">\n<p data-start=\"1996\" data-end=\"2094\"><strong data-start=\"1996\" data-end=\"2008\">R\u00e9sultat:<\/strong> Supported robust causal inference about regional disparities and convergence dynamics<\/p>\n<\/li>\n<\/ul>\n<hr data-start=\"2096\" data-end=\"2099\" \/>\n<h3 data-start=\"2101\" data-end=\"2178\"><strong data-start=\"2105\" data-end=\"2178\">4. Cost-Benefit and Uncertainty Modelling for Infrastructure Projects<\/strong><\/h3>\n<ul data-start=\"2180\" data-end=\"2515\">\n<li data-start=\"2180\" data-end=\"2225\">\n<p data-start=\"2182\" data-end=\"2225\"><strong data-start=\"2182\" data-end=\"2193\">Client:<\/strong> Multilateral development bank<\/p>\n<\/li>\n<li data-start=\"2226\" data-end=\"2250\">\n<p data-start=\"2228\" data-end=\"2250\"><strong data-start=\"2228\" data-end=\"2241\">Emplacement:<\/strong> Africa<\/p>\n<\/li>\n<li data-start=\"2251\" data-end=\"2327\">\n<p data-start=\"2253\" data-end=\"2327\"><strong data-start=\"2253\" data-end=\"2267\">D\u00e9fi:<\/strong> Prioritizing infrastructure investments under uncertainty<\/p>\n<\/li>\n<li data-start=\"2328\" data-end=\"2423\">\n<p data-start=\"2330\" data-end=\"2423\"><strong data-start=\"2330\" data-end=\"2343\">Approche:<\/strong> Developed stochastic CBA models integrating spatial, financial, and risk data<\/p>\n<\/li>\n<li data-start=\"2424\" data-end=\"2515\">\n<p data-start=\"2426\" data-end=\"2515\"><strong data-start=\"2426\" data-end=\"2438\">R\u00e9sultat:<\/strong> Enabled more transparent trade-offs between return, risk, and spatial equity<\/p>\n<\/li>\n<\/ul>\n<hr data-start=\"2517\" data-end=\"2520\" \/>\n<h3 data-start=\"2522\" data-end=\"2596\"><strong data-start=\"2526\" data-end=\"2578\">5. Real Estate and Urban Development Forecasting<\/strong> <em data-start=\"2579\" data-end=\"2596\">(Lead: Nishaal)<\/em><\/h3>\n<ul data-start=\"2598\" data-end=\"2984\">\n<li data-start=\"2598\" data-end=\"2639\">\n<p data-start=\"2600\" data-end=\"2639\"><strong data-start=\"2600\" data-end=\"2611\">Client:<\/strong> Private real estate group<\/p>\n<\/li>\n<li data-start=\"2640\" data-end=\"2668\">\n<p data-start=\"2642\" data-end=\"2668\"><strong data-start=\"2642\" data-end=\"2655\">Emplacement:<\/strong> South Asia<\/p>\n<\/li>\n<li data-start=\"2669\" data-end=\"2738\">\n<p data-start=\"2671\" data-end=\"2738\"><strong data-start=\"2671\" data-end=\"2685\">D\u00e9fi:<\/strong> Forecasting urban expansion and real estate demand<\/p>\n<\/li>\n<li data-start=\"2739\" data-end=\"2873\">\n<p data-start=\"2741\" data-end=\"2873\"><strong data-start=\"2741\" data-end=\"2754\">Approche:<\/strong> Machine learning ensemble models trained on satellite imagery, census data, and transport infrastructure investments<\/p>\n<\/li>\n<li data-start=\"2874\" data-end=\"2984\">\n<p data-start=\"2876\" data-end=\"2984\"><strong data-start=\"2876\" data-end=\"2888\">R\u00e9sultat:<\/strong> Helped the client identify high-potential urban zones and align their land acquisition strategy<\/p>\n<\/li>\n<\/ul>\n<hr data-start=\"2986\" data-end=\"2989\" \/>\n<h3 data-start=\"2991\" data-end=\"3070\"><strong data-start=\"2995\" data-end=\"3049\">6. Climate Risk and Agricultural Shocks Simulation<\/strong> <em data-start=\"3050\" data-end=\"3070\">(Co-lead: Nishaal)<\/em><\/h3>\n<ul data-start=\"3072\" data-end=\"3428\">\n<li data-start=\"3072\" data-end=\"3113\">\n<p data-start=\"3074\" data-end=\"3113\"><strong data-start=\"3074\" data-end=\"3085\">Client:<\/strong> African policy think tank<\/p>\n<\/li>\n<li data-start=\"3114\" data-end=\"3144\">\n<p data-start=\"3116\" data-end=\"3144\"><strong data-start=\"3116\" data-end=\"3129\">Emplacement:<\/strong> Sahel region<\/p>\n<\/li>\n<li data-start=\"3145\" data-end=\"3223\">\n<p data-start=\"3147\" data-end=\"3223\"><strong data-start=\"3147\" data-end=\"3161\">D\u00e9fi:<\/strong> Understanding food security risks under climate variability<\/p>\n<\/li>\n<li data-start=\"3224\" data-end=\"3335\">\n<p data-start=\"3226\" data-end=\"3335\"><strong data-start=\"3226\" data-end=\"3239\">Approche:<\/strong> Simulated multi-year crop yields and rainfall shocks using integrated climate-economic models<\/p>\n<\/li>\n<li data-start=\"3336\" data-end=\"3428\">\n<p data-start=\"3338\" data-end=\"3428\"><strong data-start=\"3338\" data-end=\"3350\">R\u00e9sultat:<\/strong> Provided policy recommendations for resilience-focused agricultural insurance<\/p>\n<\/li>\n<\/ul>\n<hr data-start=\"3430\" data-end=\"3433\" \/>\n<h2 data-start=\"3435\" data-end=\"3471\"><strong data-start=\"3438\" data-end=\"3471\">Insights &amp; Thought Leadership<\/strong><\/h2>\n<p data-start=\"3473\" data-end=\"3563\">Our team regularly publishes short-form briefs and technical explainers on topics such as:<\/p>\n<ul data-start=\"3565\" data-end=\"3798\">\n<li data-start=\"3565\" data-end=\"3622\">\n<p data-start=\"3567\" data-end=\"3622\">Making machine learning interpretable in policymaking<\/p>\n<\/li>\n<li data-start=\"3623\" data-end=\"3690\">\n<p data-start=\"3625\" data-end=\"3690\">Measuring spillovers and indirect effects in regional economies<\/p>\n<\/li>\n<li data-start=\"3691\" data-end=\"3746\">\n<p data-start=\"3693\" data-end=\"3746\">Risk communication through probabilistic dashboards<\/p>\n<\/li>\n<li data-start=\"3747\" data-end=\"3798\">\n<p data-start=\"3749\" data-end=\"3798\">Bayesian modelling for sequential decision-making<\/p>\n<\/li>\n<\/ul>\n<p>[\/vc_column_text][\/vc_column][vc_column width=&#8221;1\/6&#8243;][\/vc_column][\/vc_row][vc_row css=&#8221;.vc_custom_1600643573577{margin-top: 30px !important;}&#8221;][vc_column][vc_separator css=&#8221;.vc_custom_1603233024369{margin-top: 13px !important;margin-bottom: 50px !important;}&#8221;][\/vc_column][\/vc_row][vc_row css=&#8221;.vc_custom_1610366333973{margin-top: -20px !important;}&#8221;][vc_column][vc_raw_html]JTNDc3R5bGUlM0UlMEEuY29udGFpbmVyLWJnLndpdGgtYmclMjAuY29udGFpbmVyLWJnLW92ZXJsYXklN0JiYWNrZ3JvdW5kLWNvbG9yJTNBJTIwdHJhbnNwYXJlbnQlMjAlMjFpbXBvcnRhbnQlM0IlN0QlMEElM0MlMkZzdHlsZSUzRQ==[\/vc_raw_html][\/vc_column][\/vc_row]<\/p>","protected":false},"excerpt":{"rendered":"<p>[vc_row el_id=&#8221;assainissement&#8221;][vc_column width=&#8221;1\/4&#8243;][\/vc_column][vc_column width=&#8221;1\/2&#8243;][mgt_header_block_wp title=&#8221;Case Studies &amp; Insights&#8221; align=&#8221;center&#8221; texttransform=&#8221;subheader&#8221; fontsize=&#8221;medium&#8221; line_color=&#8221;#2f9bea&#8221; line_color_grad=&#8221;#73ccb0&#8243; line_grad=&#8221;true&#8221;][\/vc_column][vc_column width=&#8221;1\/4&#8243;][\/vc_column][\/vc_row][vc_row][vc_column width=&#8221;1\/6&#8243;][\/vc_column][vc_column width=&#8221;2\/3&#8243;][vc_column_text el_class=&#8221;text-size-medium&#8221;] At Analytyk, we believe in showing, not just telling.Our portfolio spans multiple sectors, geographies, and modelling approaches \u2014 but the goal is always the same:delivering insight that drives smarter decisions. Below is a selection of our past [&hellip;]<\/p>","protected":false},"author":2,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"Case-studie.php","meta":{"footnotes":""},"class_list":["post-4644","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/www.analytyk.com\/fr\/wp-json\/wp\/v2\/pages\/4644","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.analytyk.com\/fr\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.analytyk.com\/fr\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.analytyk.com\/fr\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.analytyk.com\/fr\/wp-json\/wp\/v2\/comments?post=4644"}],"version-history":[{"count":0,"href":"https:\/\/www.analytyk.com\/fr\/wp-json\/wp\/v2\/pages\/4644\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.analytyk.com\/fr\/wp-json\/wp\/v2\/media?parent=4644"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}