{"id":9405,"date":"2025-03-21T10:39:59","date_gmt":"2025-03-21T10:39:59","guid":{"rendered":"https:\/\/weareoakland.com\/?post_type=case_studies&#038;p=9405"},"modified":"2025-06-17T15:36:48","modified_gmt":"2025-06-17T15:36:48","slug":"delivering-a-microsoft-azure-platform","status":"publish","type":"case_studies","link":"https:\/\/weareoakland.com\/case-studies\/delivering-a-microsoft-azure-platform\/","title":{"rendered":"Leveraging Microsoft Azure for Market Expansion and Growth"},"content":{"rendered":"\n<section id=\"block_891bf7d7f2960718daad7b31b5435d21\" class=\"block intro-row animate  default\">\n    <div class='intro-row-wrap'>\n        <h2 class=\"h3\">Emerald Publishing is one of the world\u2019s leading digital-first publishers, known for commissioning, curating, and showcasing research that drives societal progress.\n<\/h2><p style=\"text-align: center;\">By collaborating with thousands of universities and business schools globally, Emerald aims to share knowledge and spark debates that lead to positive change. With a strong commitment to people and innovation, Emerald supports a network of 500,000 researchers across 130 countries. Their website attracts over 109 million visitors annually, resulting in 30 million downloads each year.<\/p>\n            <\/div>\n<\/section>\n\n\n<h3 class=\"wp-block-heading\" id=\"h-the-challenge\">The Challenge<\/h3>\n\n\n\n<p>Their existing on-premises data warehouse struggled to support the growing analytical demands necessary for new propositions, such as fully analysing data on article submission trends, author and institution information, and enabling AI integration within solutions. The dispersed nature of their data sources, with varying formats and inconsistent quality, limited their insights and hindered their ability to grow and expand. Recognising the need for a more robust and future proof solution, Emerald planned to transition to a cloud-based data platform to ensure sustainability, innovation and growth.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"h-the-solution\">The Solution<\/h3>\n\n\n\n<p>After a competitive pitch against a number of data consultants, Oakland was selected based on our exceptional service quality and deep understanding of Emerald\u2019s goals. Oakland\u2019s infrastructure and expertise were well-aligned with Emerald\u2019s vision for a future-ready data analytics platform.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"h-the-goal\">The Goal<\/h3>\n\n\n\n<p>Oakland was tasked with building a cloud-based data analytics platform designed to propel Emerald into the future. This platform needed to provide comprehensive data governance and quality functionality, reconciling conflicting data from diverse sources. Key requirements included:<\/p>\n\n\n\n<ul class=\"wp-block-list remove-margin-top remove-margin-bottom indent-left\">\n<li>Integration of both batch and streaming data from disparate source systems.<\/li>\n\n\n\n<li>Secure and robust departmental self-service reporting capabilities, alongside support for data science and future machine learning initiatives.<\/li>\n\n\n\n<li>Financial viability and supportability by a dedicated internal data squad.<\/li>\n\n\n\n<li>Significant reduction in manual effort for reporting, integration, and maintenance.<\/li>\n\n\n\n<li>Compliance with data privacy laws, particularly GDPR.<\/li>\n<\/ul>\n\n\n\n<p>This project was not solely about technology; it also involved identifying the necessary people, skills, workflows, and processes to sustain and enhance the new platform. By addressing these multifaceted needs, Oakland aimed to empower Emerald Publishing to fully leverage their data, driving the business forward in a data-driven publishing landscape.<\/p>\n\n\n\n<div style=\"height:5rem\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n\n<style>\n    .css-container-6a196458d25b7466309948{\n        background-color:#303e48;\n        h1,h2,h3,h4,h5 {\n            color:#ff0033;\n        }\n        p,ul,li,b,strong {\n            color:#ffffff;\n        }\n    }\n    .css-container-6a196458d25ba743225472{\n        background-color:#303e48;\n        h1,h2,h3,h4,h5 {\n            color:;\n        }\n        p,ul,li,b,strong {\n            color:#ffffff;\n        }\n    }\n    \n<\/style>\n<section id=\"block_81cc40950fd4929a860f47e0ee792ee3\" class=\"two-col-text-blocks  \">\n    <div class='two-col-text-blocks-inner animate'>\n\n        <div class=\"two-col-text-blocks-textblock block1 css-container-6a196458d25b7466309948 \">\n            <h3>Tailoring the solution<\/h3>\n<p>At Oakland, each data platform is designed around an organisation\u2019s unique business challenges and technology landscape. By replicating Emerald\u2019s existing on-premises data warehouse and then scaling capabilities, we set about architecting a solution that could be launched quickly but also be built upon to deliver future data and AI capabilities.<\/p>\n        <\/div>\n\n        <div class=\"two-col-text-blocks-textblock block2 css-container-6a196458d25ba743225472 \">\n            <p>The analytics platform was built using the \u2018Oakland Modular Platform\u2019. These modular templates allowed us to quickly customise the platform to fit the requirements while dramatically reducing build time from months to weeks. The templates also ensured best practices gained from years of experience in building data platforms were followed, reducing the risk of missing estimated delivery dates.<\/p>\n        <\/div>\n\n    <\/div>\n<\/section>\n\n\n<div style=\"height:5rem\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<h3 class=\"wp-block-heading has-text-align-center\" id=\"h-the-technical-components\">The Technical Components<\/h3>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"747\" src=\"https:\/\/weareoakland.com\/wp-content\/uploads\/2025\/03\/azure2a-1024x747.webp\" alt=\"\" class=\"wp-image-9407\" srcset=\"https:\/\/weareoakland.com\/wp-content\/uploads\/2025\/03\/azure2a-1024x747.webp 1024w, https:\/\/weareoakland.com\/wp-content\/uploads\/2025\/03\/azure2a-300x219.webp 300w, https:\/\/weareoakland.com\/wp-content\/uploads\/2025\/03\/azure2a-768x560.webp 768w, https:\/\/weareoakland.com\/wp-content\/uploads\/2025\/03\/azure2a-595x434.webp 595w, https:\/\/weareoakland.com\/wp-content\/uploads\/2025\/03\/azure2a-82x60.webp 82w, https:\/\/weareoakland.com\/wp-content\/uploads\/2025\/03\/azure2a-839x612.webp 839w, https:\/\/weareoakland.com\/wp-content\/uploads\/2025\/03\/azure2a-738x538.webp 738w, https:\/\/weareoakland.com\/wp-content\/uploads\/2025\/03\/azure2a-658x480.webp 658w, https:\/\/weareoakland.com\/wp-content\/uploads\/2025\/03\/azure2a-549x400.webp 549w, https:\/\/weareoakland.com\/wp-content\/uploads\/2025\/03\/azure2a-461x336.webp 461w, https:\/\/weareoakland.com\/wp-content\/uploads\/2025\/03\/azure2a-110x80.webp 110w, https:\/\/weareoakland.com\/wp-content\/uploads\/2025\/03\/azure2a-40x29.webp 40w, https:\/\/weareoakland.com\/wp-content\/uploads\/2025\/03\/azure2a-950x693.webp 950w, https:\/\/weareoakland.com\/wp-content\/uploads\/2025\/03\/azure2a-672x490.webp 672w, https:\/\/weareoakland.com\/wp-content\/uploads\/2025\/03\/azure2a-100x73.webp 100w, https:\/\/weareoakland.com\/wp-content\/uploads\/2025\/03\/azure2a-373x272.webp 373w, https:\/\/weareoakland.com\/wp-content\/uploads\/2025\/03\/azure2a.webp 1052w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n<\/div>\n\n\n<section id=\"block_7d515ebadefc1567d1f22b871f49bd60\" class=\"block intro-row animate  default\">\n    <div class='intro-row-wrap'>\n        <h2 class=\"h3\">Delivering a Microsoft Azure Platform\n<\/h2><p style=\"text-align: center;\"><strong>When Emerald Publishing sought to modernise its data infrastructure, Oakland was tasked with designing a cloud-based data analytics platform that would not only meet immediate needs but also future-proof the organisation in an evolving digital landscape. The technology choices we made were critical to ensuring the platform\u2019s success and scalability.<\/strong><\/p>\n            <\/div>\n<\/section>\n\n\n<h3 class=\"wp-block-heading\" id=\"h-microsoft-azure\">Microsoft Azure<\/h3>\n\n\n\n<p>Microsoft Azure offers a range of benefits for building a data platform, making it a popular choice for organisations looking to modernise their data infrastructure.<\/p>\n\n\n\n<p>Azure offered:<\/p>\n\n\n\n<ul class=\"wp-block-list indent-left remove-margin-top remove-margin-bottom\">\n<li><strong>Scalability:<\/strong> Azure allows you to scale resources up or down based on your needs, ensuring cost-efficiency and performance optimisation.<\/li>\n\n\n\n<li><strong>Comprehensive Services:<\/strong> Azure provides a wide range of integrated services including databases, analytics, and machine learning, facilitating end-to-end data management and analysis.<\/li>\n\n\n\n<li><strong>Security:<\/strong> Robust security features, including advanced threat protection and encryption, ensure your data remains secure and compliant with regulations.<\/li>\n\n\n\n<li><strong>Integration:<\/strong> Seamless integration with existing Microsoft products and other third-party services enhances productivity and collaboration.<\/li>\n\n\n\n<li><strong>AI and Machine Learning:<\/strong> Built-in AI and machine learning capabilities allow you to derive insights and drive innovation from your data.<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"h-microsoft-azure-synapse\">Microsoft Azure Synapse<\/h3>\n\n\n\n<p>Given the size and nature of Emerald\u2019s data, which was heavily oriented towards a data warehouse approach, Azure Synapse Analytics emerged as a natural fit. Synapse, often regarded as the Azure equivalent of a data warehouse, provided the robust environment needed to handle complex queries and largescale data processing.<\/p>\n\n\n\n<p>Emerald\u2019s existing infrastructure was already familiar with SQL Server environments, and Synapse allowed for a seamless transition while offering enhanced capabilities for data integration, analysis, and reporting.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"h-apache-spark\">Apache Spark<\/h3>\n\n\n\n<p>Spark is known for its ability to handle large datasets and perform complex analytics at scale, making it a powerful addition to the data platform.<\/p>\n\n\n\n<p>Emerald\u2019s long-term goal included the integration of machine learning capabilities. Spark\u2019s support for PySpark provided a natural fit for these advanced data science initiatives.<\/p>\n\n\n\n<p>With Microsoft Fabric on the horizon, incorporating Spark pools into the architecture ensured that Emerald\u2019s platform would be adaptable to future developments in the Microsoft ecosystem.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"h-balancing-familiarity-and-innovation\">Balancing Familiarity and Innovation<\/h3>\n\n\n\n<p>One of the critical decisions was balancing new technology with Emerald\u2019s existing expertise. While moving to Spark, we introduced a new query language (PySpark); we made this transition smooth through extensive knowledge transfer and collaboration.<\/p>\n\n\n\n<p>We conducted numerous training sessions and hands-on workshops, enabling Emerald\u2019s team to become proficient with PySpark and effectively leverage the new capabilities.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"h-phased-approach\">Phased Approach<\/h3>\n\n\n\n<p>The project was executed in two key phases:<\/p>\n\n\n\n<ul class=\"wp-block-list indent-left remove-margin-top remove-margin-bottom\">\n<li><strong>Phase 1: Infrastructure Setup:<\/strong> Using Terraform, we established the core infrastructure, ensuring it was scalable, secure, and aligned with Emerald\u2019s needs. This phase also included the initial onboarding of data sources and the implementation of repeatable data quality reporting functionality.<\/li>\n\n\n\n<li><strong>Phase 2: Enhancing Capabilities:<\/strong> With additional budget allocation, we expanded the data sources and focused heavily on integrating machine learning capabilities, transitioning Emerald\u2019s ML processes from legacy systems to a more modern and streamlined environment within Azure.<\/li>\n<\/ul>\n\n\n\n<p>The combination of Azure Synapse and Spark allowed us to build a platform that not only meets Emerald\u2019s current needs, but also positions them for future growth. This strategic choice of technology ensures that Emerald can continue to innovate in the rapidly changing publishing landscape, with a robust data platform that supports everything from basic analytics to advanced machine learning.<\/p>\n\n\n\n<div style=\"height:5rem\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n<section id=\"block_a12dc36c2adee98328aa7bc91f8ba4c3\" class=\"background-container   background-container-6a196458d4bfc333350424\">\n    <style>\n                .background-container-6a196458d4bfc333350424 {\n                            --block-bg-color: #303e48;\n                                        --heading-color: #ffffff;\n                                        --block-text-color: #ffffff;\n                    }\n    <\/style>\n    <div class=\"container\">\n        \n\n<h2 class=\"wp-block-heading\" id=\"h-outcomes\">Outcomes<\/h2>\n\n\n\n<p>The new cloud-based data platform has equipped Emerald Publishing to meet current needs and set the stage for future growth and innovation. Here\u2019s what it has enabled:<\/p>\n\n\n\n<ul class=\"wp-block-list indent-left remove-margin-top remove-margin-bottom\">\n<li><strong>Replication of Existing Capabilities:<\/strong> The transition from Emerald\u2019s outdated on-premises data warehouse to a modern platform ensures continuity in reporting and analytics, with improved stability and scalability for seamless operations.<\/li>\n\n\n\n<li><strong>Enhanced Regulatory Compliance:<\/strong> With automated data retention and improved handling of Personally Identifiable Information (PII), Emerald now meets stringent privacy regulations like GDPR, reducing risk and building stakeholder trust.<\/li>\n\n\n\n<li><strong>Data Quality Assurance:<\/strong> A new toolset for monitoring data quality allows Emerald to identify and resolve issues early, supporting reliable data and innovation without disruptions.<\/li>\n\n\n\n<li><strong>Foundation for Future Innovation:<\/strong> The new platform enables Emerald to explore AI and machine learning solutions, improving workflows and communication, previously unattainable with the old system.<\/li>\n\n\n\n<li><strong>Strategic Flexibility and Scalability:<\/strong> Built to adapt to technological trends, the platform can scale and integrate new tools, keeping Emerald competitive in academic publishing.<\/li>\n\n\n\n<li><strong>Improved Efficiency and Discovery:<\/strong> Enhanced data structuring fosters better discovery and utilisation, opening up insights and strategies to drive business forward.<\/li>\n<\/ul>\n\n\n\n<p>In summary, this data platform isn\u2019t just an upgrade; it\u2019s a strategic foundation that secures Emerald\u2019s present operations whilst unlocking potential for future growth and innovation in an evolving industry.<\/p>\n\n\n    <\/div>\n<\/section>\n\n\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p>&#8220;Right from the start, the relationship with Oakland has been a strong one. There was a close cultural match between our two organisations, and it genuinely felt like we were working as one team. This kind of open and genuine working relationship isn\u2019t always the norm, but with Oakland, it certainly has been.<br>The level of collaboration and adaptability throughout the project has been exceptional, making the entire experience incredibly positive. I couldn\u2019t be more pleased with how we\u2019ve worked together.&#8221;<br><br><em>&#8211; Daniel Molesworth, Emerald Publishing<\/em><\/p>\n<\/blockquote>\n\n\n<section id=\"block_2d5ffc82a045356b698423fb59c88c12\" class=\"background-container  block background-container-6a196458d4f9d452725152\">\n    <style>\n                .background-container-6a196458d4f9d452725152 {\n                            --block-bg-color: #303e48;\n                                        --heading-color: #ffffff;\n                                        --block-text-color: #ffffff;\n                    }\n    <\/style>\n    <div class=\"container\">\n        \n\n<p>If you want to discuss any elements of this case study or find out how Oakland could help you, please contact us to arrange a call.<\/p>\n\n\n\n<div class=\"wp-block-buttons is-layout-flex wp-block-buttons-is-layout-flex\">\n<div class=\"wp-block-button\"><a class=\"wp-block-button__link wp-element-button\" href=\"https:\/\/weareoakland.com\/contact-us\/\"><span>Get in Touch<\/span><\/a><\/div>\n<\/div>\n\n\n    <\/div>\n<\/section>\n\n\n<p><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Oakland was tasked with building a cloud-based data analytics platform designed to propel Emerald into the future. This platform needed to provide comprehensive data governance and quality functionality, reconciling conflicting data from diverse sources.<\/p>\n","protected":false},"featured_media":9406,"template":"","case_studies_category":[397],"class_list":["post-9405","case_studies","type-case_studies","status-publish","has-post-thumbnail","hentry","case_studies_category-platformanddataengineering"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v27.2 (Yoast SEO v27.2) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>Leveraging Microsoft Azure for Market Expansion and Growth | Oakland<\/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:\/\/weareoakland.com\/case-studies\/delivering-a-microsoft-azure-platform\/\" \/>\n<meta property=\"og:locale\" content=\"en_GB\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Leveraging Microsoft Azure for Market Expansion and Growth\" \/>\n<meta property=\"og:description\" content=\"Oakland was tasked with building a cloud-based data analytics platform designed to propel Emerald into the future. 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