{"id":3668,"date":"2023-08-21T06:58:42","date_gmt":"2023-08-21T06:58:42","guid":{"rendered":"http:\/\/localhost\/RysunMVP\/?post_type=success-story&#038;p=3655"},"modified":"2026-03-26T05:06:28","modified_gmt":"2026-03-26T05:06:28","slug":"rysun-delivered-data-4x-quicker-for-florida-based-qsr-chain","status":"publish","type":"success-story","link":"http:\/\/phpdemo03.kcspl.in:9099\/rysunmvplive\/success-story\/rysun-delivered-data-4x-quicker-for-florida-based-qsr-chain\/","title":{"rendered":"Delivering data 4x quicker for Florida based quick service restaurant chain"},"content":{"rendered":"<div class=\"wpb-content-wrapper\"><p>[vc_row el_class=&#8221;casestudy-main-section&#8221;][vc_column][vc_row_inner el_class=&#8221;container animation fadeTop&#8221;][vc_column_inner][vc_custom_heading text=&#8221;Overview&#8221; use_theme_fonts=&#8221;yes&#8221; css=&#8221;&#8221; el_class=&#8221;custom-heading&#8221;][vc_column_text el_class=&#8221;common-para&#8221;]This casual dining chain from Florida is famous for the aroma of its fresh coffee, the sizzle of breakfast options, and the delicious flavors of lunch specials and house soups. They offer unique and inviting breakfast, brunch and lunch experiences to patrons. This fast-casual restaurant chain set the ideal balance of quick service and better quality by reducing daily data processing time by 4x with efficient DataOps.[\/vc_column_text][\/vc_column_inner][\/vc_row_inner][\/vc_column][\/vc_row][vc_row el_class=&#8221;container&#8221;][vc_column][vc_row_inner el_class=&#8221;blueboxrow animation fadeTop casestudy-overview&#8221;][vc_column_inner el_class=&#8221;overview-block&#8221; width=&#8221;1\/3&#8243;][vc_single_image image=&#8221;3684&#8243; img_size=&#8221;full&#8221; el_class=&#8221;overview-img&#8221;][vc_column_text el_class=&#8221;o-body-medium&#8221;]Industry\u200b[\/vc_column_text][vc_column_text el_class=&#8221;o-paragraph-medium&#8221;]Casual dining, Quick Services Restaurants[\/vc_column_text][\/vc_column_inner][vc_column_inner el_class=&#8221;overview-block&#8221; width=&#8221;1\/3&#8243;][vc_single_image image=&#8221;8449&#8243; img_size=&#8221;full&#8221; css=&#8221;&#8221; el_class=&#8221;overview-img&#8221;][vc_column_text css=&#8221;&#8221; el_class=&#8221;o-body-medium&#8221;]Challenge[\/vc_column_text][vc_column_text css=&#8221;&#8221; el_class=&#8221;o-paragraph-medium&#8221;]Rapid growth outpaced the company\u2019s data infrastructure[\/vc_column_text][\/vc_column_inner][vc_column_inner el_class=&#8221;overview-block&#8221; width=&#8221;1\/3&#8243;][vc_single_image image=&#8221;3686&#8243; img_size=&#8221;full&#8221; el_class=&#8221;overview-img&#8221;][vc_column_text el_class=&#8221;o-body-medium&#8221;]Solution[\/vc_column_text][vc_column_text el_class=&#8221;o-paragraph-medium&#8221;]DataOps[\/vc_column_text][\/vc_column_inner][\/vc_row_inner][\/vc_column][\/vc_row][vc_row el_class=&#8221;why-rysun-main-section why-rysun-data&#8221;][vc_column el_class=&#8221;container&#8221;][vc_row_inner el_class=&#8221;impact-section-main animation fadeTop&#8221;][vc_column_inner el_class=&#8221;common-para&#8221;][vc_custom_heading text=&#8221;Business Impact&#8221; use_theme_fonts=&#8221;yes&#8221; css=&#8221;&#8221; el_class=&#8221;custom-heading&#8221;][\/vc_column_inner][\/vc_row_inner][vc_row_inner el_class=&#8221;impact-section animation fadeTop casestudy-impace-section&#8221;][vc_column_inner el_class=&#8221;impact-block&#8221; width=&#8221;1\/4&#8243;][vc_single_image image=&#8221;2155&#8243; el_class=&#8221;impact-img&#8221;][vc_custom_heading text=&#8221;4x speed to insight for<br \/>\ndistributed stores.&#8221; font_container=&#8221;tag:h6|text_align:left&#8221; use_theme_fonts=&#8221;yes&#8221; el_class=&#8221;impact-title&#8221;][\/vc_column_inner][vc_column_inner el_class=&#8221;impact-block&#8221; width=&#8221;1\/4&#8243;][vc_single_image image=&#8221;2156&#8243; el_class=&#8221;impact-img&#8221;][vc_custom_heading text=&#8221;Accurate daily sales<br \/>\nand ops data.&#8221; font_container=&#8221;tag:h6|text_align:left&#8221; use_theme_fonts=&#8221;yes&#8221; el_class=&#8221;impact-title&#8221;][\/vc_column_inner][vc_column_inner el_class=&#8221;impact-block&#8221; width=&#8221;1\/4&#8243;][vc_single_image image=&#8221;2157&#8243; el_class=&#8221;impact-img&#8221;][vc_custom_heading text=&#8221;Improved Front of<br \/>\nHouse engagement.&#8221; font_container=&#8221;tag:h6|text_align:left&#8221; use_theme_fonts=&#8221;yes&#8221; el_class=&#8221;impact-title&#8221;][\/vc_column_inner][vc_column_inner el_class=&#8221;impact-block&#8221; width=&#8221;1\/4&#8243;][vc_single_image image=&#8221;2158&#8243; el_class=&#8221;impact-img&#8221;][vc_custom_heading text=&#8221;Efficient Back of<br \/>\nHouse operations.&#8221; font_container=&#8221;tag:h6|text_align:left&#8221; use_theme_fonts=&#8221;yes&#8221; el_class=&#8221;impact-title&#8221;][\/vc_column_inner][\/vc_row_inner][vc_row_inner el_class=&#8221;impact-section animation fadeTop casestudy-impace-section&#8221;][vc_column_inner el_class=&#8221;impact-block&#8221; width=&#8221;1\/4&#8243;][vc_single_image image=&#8221;2154&#8243; el_class=&#8221;impact-img&#8221;][vc_custom_heading text=&#8221;Half a million data units<br \/>\nprocessed everyday.&#8221; font_container=&#8221;tag:h6|text_align:left&#8221; use_theme_fonts=&#8221;yes&#8221; el_class=&#8221;impact-title&#8221;][\/vc_column_inner][vc_column_inner width=&#8221;1\/4&#8243;][\/vc_column_inner][vc_column_inner width=&#8221;1\/4&#8243;][\/vc_column_inner][vc_column_inner width=&#8221;1\/4&#8243;][\/vc_column_inner][\/vc_row_inner][\/vc_column][\/vc_row][vc_row el_class=&#8221;casestudy-who case-study-sticky&#8221;][vc_column][vc_row_inner el_class=&#8221;container animation fadeTop story-sticky-section&#8221;][vc_column_inner el_class=&#8221;story-sticky-left&#8221; width=&#8221;1\/2&#8243;][vc_custom_heading text=&#8221;Daily data insights for better customer experience and restaurant operations&#8221; font_container=&#8221;tag:div|text_align:left&#8221; use_theme_fonts=&#8221;yes&#8221; css=&#8221;&#8221; el_class=&#8221;o-header&#8211;h3 max600&#8243;][\/vc_column_inner][vc_column_inner el_class=&#8221;story-sticky-right&#8221; width=&#8221;1\/2&#8243;][vc_custom_heading text=&#8221;Who&#8221; font_container=&#8221;tag:h4|text_align:left&#8221; use_theme_fonts=&#8221;yes&#8221; css=&#8221;&#8221; el_class=&#8221;o-header&#8211;h4&#8243;][vc_column_text el_class=&#8221;common-para common-listing&#8221;]Our client is a restaurant chain based in the USA. Their award-winning coffee, fresh ingredients, and strong connection with the communities makes them the first choice for dining in over 500 locations.\u00a0[\/vc_column_text][vc_custom_heading text=&#8221;What&#8221; font_container=&#8221;tag:h4|text_align:left&#8221; use_theme_fonts=&#8221;yes&#8221; css=&#8221;&#8221; el_class=&#8221;o-header&#8211;h4&#8243;][vc_column_text el_class=&#8221;common-para common-listing&#8221;]Orchestrating successful front of house engagement across 500+ stores requires meticulous back of house operations planning. They needed to get faster, assured, more accurate access to daily sales and restaurant operations data from their stores and were looking for a specialist partner to run DataOps for them.[\/vc_column_text][vc_custom_heading text=&#8221;Why&#8221; font_container=&#8221;tag:h4|text_align:left&#8221; use_theme_fonts=&#8221;yes&#8221; css=&#8221;&#8221; el_class=&#8221;o-header&#8211;h4&#8243;][vc_column_text el_class=&#8221;common-para common-listing&#8221;]Exponential data growth, large files, and slow processing made it difficult to generate deep insights into changing customer demands everyday &amp; consolidate sales and operations data for 500+ locations.[\/vc_column_text][vc_custom_heading text=&#8221;How&#8221; font_container=&#8221;tag:h4|text_align:left&#8221; use_theme_fonts=&#8221;yes&#8221; css=&#8221;&#8221; el_class=&#8221;o-header&#8211;h4&#8243;][vc_column_text el_class=&#8221;common-para common-listing&#8221;]Serving data to dashboards 4x faster by making DataOps more accurate and efficient.[\/vc_column_text][\/vc_column_inner][\/vc_row_inner][\/vc_column][\/vc_row][vc_row disable_element=&#8221;yes&#8221;][vc_column][vc_row_inner el_class=&#8221;container wayof-life-inner-section career-opportunity-section animation fadeTop omnichannel&#8221;][vc_column_inner el_class=&#8221;wayof-life-half-section casestudy-half-section&#8221; css=&#8221;.vc_custom_1693457988712{background-image: url(https:\/\/www.rysun.com\/wp-content\/uploads\/2023\/06\/want-help-section.jpg?id=2968) !important;background-position: center !important;background-repeat: no-repeat !important;background-size: contain !important;}&#8221;][vc_column_text el_class=&#8221;custom-heading&#8221;]<\/p>\n<h3>Want help serving the<br \/>\ncoffee faster and better?<\/h3>\n<p>[\/vc_column_text][vc_column_text el_class=&#8221;o-button3 tertiary&#8221;]<a href=\"https:\/\/www.rysun.com\/contact-us\/\"> domain expert <i class=\"spark-button-arrow\"> <\/i> <\/a>[\/vc_column_text][\/vc_column_inner][\/vc_row_inner][\/vc_column][\/vc_row][vc_row el_class=&#8221;casestudy-who&#8221;][vc_column][vc_row_inner el_class=&#8221;container animation fadeTop&#8221;][vc_column_inner][vc_custom_heading text=&#8221;Challenge&#8221; font_container=&#8221;tag:h3|text_align:left&#8221; use_theme_fonts=&#8221;yes&#8221; css=&#8221;&#8221; el_class=&#8221;o-header&#8211;h3&#8243;][vc_column_text el_class=&#8221;common-para parasubtitle&#8221;]The restaurant chain uses multiple best of breed third-party applications to manage visitor flow and orders, POS transactions, kitchen and server staff &amp; payroll, and other financial &amp; operational data. With exponential growth, the company wanted to dig deeper into data to better understand and improve the coffee and breakfast experience.[\/vc_column_text][vc_column_text el_class=&#8221;common-para common-listing&#8221;]<\/p>\n<ul>\n<li>High volume of daily data from 500+ locations<\/li>\n<li>Error-prone data synchronization.<\/li>\n<li>Compromised data integrity and data quality.<\/li>\n<li>Lack of scalable data pipeline infrastructure.<\/li>\n<li>Growing complexity and volumes as the business expanded<\/li>\n<\/ul>\n<p>[\/vc_column_text][\/vc_column_inner][\/vc_row_inner][\/vc_column][\/vc_row][vc_row el_class=&#8221;casestudy-bg-gradient mt-200&#8243;][vc_column][vc_row_inner el_class=&#8221;container animation fadeTop&#8221;][vc_column_inner el_class=&#8221;casestudy-who&#8221;][vc_custom_heading text=&#8221;Solution&#8221; font_container=&#8221;tag:h3|text_align:left&#8221; use_theme_fonts=&#8221;yes&#8221; css=&#8221;&#8221; el_class=&#8221;o-header&#8211;h3&#8243;][vc_column_text el_class=&#8221;common-para parasubtitle&#8221;]The client had an existing data processing system in place, but it was unable to get faster insights into the business. Our team built a data pipeline to streamline its data collection, storage, and management processes.[\/vc_column_text][vc_column_text el_class=&#8221;common-para common-listing&#8221;]<\/p>\n<ul>\n<li>Data consolidated from 4 heterogenous source systems into Azure cloud<\/li>\n<li>Migration of client\u2019s daily data &#8211; guest order details, POS data, staff and payroll data, and more &#8211; to the destination database for reporting in Microsoft Azure environment<\/li>\n<li>Designed an alternate path to process and consolidate delayed data from the one of the applications<\/li>\n<li>Implemented failover pipelines to prevent data loss and error to eliminate without need to run the entire load operation again<\/li>\n<li>Accurate KPI metrics and gross sale data processing through on-time data load<\/li>\n<\/ul>\n<p>[\/vc_column_text][\/vc_column_inner][\/vc_row_inner][vc_row_inner el_class=&#8221;container animation fadeTop&#8221;][vc_column_inner el_class=&#8221;casestudy-who&#8221;][vc_custom_heading text=&#8221;Business Outcomes&#8221; font_container=&#8221;tag:h3|text_align:left&#8221; use_theme_fonts=&#8221;yes&#8221; css=&#8221;&#8221; el_class=&#8221;o-header&#8211;h3&#8243;][vc_column_text el_class=&#8221;common-para parasubtitle&#8221;]Enabled more efficient front of house and back of house processes for the busy QSR chain, to help them manage in-store customers and online orders effectively and efficiently. Highly optimized DataOps makes data from multiple POS and cloud applications available in a single and secure database on Azure cloud. This ensures their PowerBI dashboards are refreshed every day before the first coffee is served.[\/vc_column_text][vc_column_text el_class=&#8221;common-para common-listing&#8221;]<\/p>\n<ul>\n<li>Faster daily sales and operations insights<\/li>\n<li>More informed decision making for 500+ store locations<\/li>\n<li>Optimized Data Pipelines executed in under 4 hours, reduced from 17 hours<\/li>\n<li>More agile and responsive data infrastructure<\/li>\n<li>Reduced errors with built-in checks for data integrity<\/li>\n<li>Productivity boost with failover pipelines<\/li>\n<\/ul>\n<p>[\/vc_column_text][\/vc_column_inner][\/vc_row_inner][vc_row_inner el_class=&#8221;container animation fadeTop&#8221;][vc_column_inner el_class=&#8221;casestudy-who&#8221;][vc_custom_heading text=&#8221;The Extra Mile&#8221; font_container=&#8221;tag:h3|text_align:left&#8221; use_theme_fonts=&#8221;yes&#8221; css=&#8221;&#8221; el_class=&#8221;o-header&#8211;h3&#8243;][vc_column_text css=&#8221;&#8221; el_class=&#8221;common-para parasubtitle&#8221;]When one of the applications took a serious malware hit in early 2023, we helped clear the long data backlog queue. Once the data source was secured again, our team found a\u00a0unique solution to quickly upload\u00a0a full-month\u2019s delta within a week, without hampering the daily ongoing operations. We also supported the client\u2019s security team by implementing their updated security recommendations in our data operations.[\/vc_column_text][\/vc_column_inner][\/vc_row_inner][\/vc_column][\/vc_row][vc_row disable_element=&#8221;yes&#8221; el_class=&#8221;casestudy-detail-title&#8221;][vc_column][vc_row_inner el_class=&#8221;container wayof-life-inner-section career-opportunity-section animation fadeTop omnichannel&#8221;][vc_column_inner el_class=&#8221;wayof-life-half-section casestudy-half-section&#8221; css=&#8221;.vc_custom_1693458491469{background-image: url(https:\/\/www.rysun.com\/wp-content\/uploads\/2023\/08\/product-catalog-img.jpg?id=3706) !important;background-position: center !important;background-repeat: no-repeat !important;background-size: cover !important;}&#8221;][vc_column_text el_class=&#8221;custom-heading&#8221;]<\/p>\n<h3>Are you looking to create an enriching experience for your website audience?<\/h3>\n<p>[\/vc_column_text][vc_column_text el_class=&#8221;o-button3 tertiary&#8221;]<a href=\"https:\/\/www.rysun.com\/contact-us\/\">Get a free consultation <\/a>[\/vc_column_text][\/vc_column_inner][\/vc_row_inner][vc_row_inner][vc_column_inner el_class=&#8221;techstack&#8221;][vc_custom_heading text=&#8221;Tech Stack&#8221; font_container=&#8221;tag:h5|text_align:left&#8221; use_theme_fonts=&#8221;yes&#8221; el_class=&#8221;custom-heading&#8221;][vc_gallery type=&#8221;image_grid&#8221; images=&#8221;4059,4064,4065,4066,4067&#8243; img_size=&#8221;full&#8221; onclick=&#8221;&#8221;][\/vc_column_inner][\/vc_row_inner][\/vc_column][\/vc_row]<\/p>\n<\/div>","protected":false},"excerpt":{"rendered":"<p>Florida dining chain known for delicious food leverages Rysun&#8217;s DataOps solution to cut data processing by 4x, ensuring fast service for customers.<\/p>\n","protected":false},"featured_media":3802,"menu_order":0,"template":"","format":"standard","class_list":["post-3668","success-story","type-success-story","status-publish","format-standard","has-post-thumbnail","hentry","story_category-confident-decisions"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v26.5 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\r\n<title>Accelerating USA Based Restaurant Chain, DataOps Solutions | Case Study<\/title>\r\n<meta name=\"description\" content=\"Discover how Rysun&#039;s data pipeline streamlined the data processing for a USA-based quick service restaurant chain, enabling faster insights and optimized management. 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