{"id":61390,"date":"2026-04-03T12:42:53","date_gmt":"2026-04-03T16:42:53","guid":{"rendered":"https:\/\/centricconsulting.com\/?p=61390"},"modified":"2026-04-06T14:54:20","modified_gmt":"2026-04-06T18:54:20","slug":"real-time-insurance-data-5-steps-to-building-the-foundation-for-insurance-business-intelligence","status":"publish","type":"post","link":"https:\/\/centricconsulting.com\/blog\/real-time-insurance-data-5-steps-to-building-the-foundation-for-insurance-business-intelligence\/","title":{"rendered":"Real-Time Insurance Data: 5 Steps to Building the Foundation for Insurance Business Intelligence"},"content":{"rendered":"<h2 style=\"text-align: center;\"><span data-contrast=\"auto\">The demand for real-time data in insurance is growing. We explore why it matters, how it\u2019s reshaping insurance business intelligence, and simple steps you can take to transform your data into real-time data. We\u2019ll also discuss data enrichment and why data lakes are critical to modern insurance data solutions.<\/span><\/h2>\n<hr \/>\n<h2><span data-contrast=\"auto\">In brief: <\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/h2>\n<ul>\n<li><span data-contrast=\"auto\">Powered by real-time data, insurance business intelligence allows insurers to make faster, more informed decisions and remain competitive in a rapidly evolving market.\u00a0<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li>\n<li><span data-contrast=\"auto\">Insurers face challenges such as lagging insights, disconnected data silos, and rigid legacy systems that prevent\u00a0timely\u00a0access to critical information.\u00a0<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li>\n<li><span data-contrast=\"auto\">Breaking down organizational silos and aligning business and IT around\u00a0a single source\u00a0of truth helps your organization effectively use real-time data.\u00a0<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li>\n<li><span data-contrast=\"auto\">Modern technology platforms make real-time dashboards and data feeds attainable, but the biggest obstacles are related to people, processes, and company culture.\u00a0<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li>\n<li><span data-contrast=\"auto\">Transitioning from legacy warehouses to data lakehouse architectures is necessary to support real-time analytics at scale in the insurance industry. <\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li>\n<\/ul>\n<hr \/>\n<p><span data-contrast=\"auto\">Real-time data has moved from buzzword to baseline in insurance. When claims spike after a catastrophe or commercial buyers are shopping for coverage, speed\u00a0determines\u00a0who wins. New products like <a href=\"https:\/\/www.coalitioninc.com\/blog\/cyber-insurance\/active-data-graph\" target=\"_blank\" rel=\"noopener\">cyber insurance also depend on live data<\/a> to deliver both protection and service.\u00a0<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">\u201cReal-time data isn\u2019t a luxury anymore \u2014 it\u2019s how insurers stay competitive and responsive,\u201d says <a href=\"https:\/\/centricconsulting.com\/blog\/author\/jeremy-gruenwald\/\" target=\"_blank\" rel=\"noopener\">Jeremy Gruenwald<\/a>, Centric Consulting\u2019s national data and analytics practice co-lead.\u00a0<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">Luckily, the technology to enable real-time insurance business intelligence is no longer out of reach. With today\u2019s platforms, you can stand up dashboards and\u00a0feeds\u00a0in hours. <strong>The bigger challenge lies with people and processes: breaking down silos,\u00a0establishing\u00a0governance, and aligning business and information technology (IT) around\u00a0a single source\u00a0of truth.\u00a0<\/strong><\/span><strong>\u00a0<\/strong><\/p>\n<h2><span data-contrast=\"auto\">Today\u2019s Insurance Business Intelligence Challenge: 3 Roadblocks <\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/h2>\n<p><span data-contrast=\"auto\">You already collect vast amounts of data \u2014 policy records, claims logs, customer interactions, and more \u2014 but in many cases,\u00a0you\u2019re\u00a0still trapped in yesterday\u2019s cadence.<strong> Insurers are <a href=\"https:\/\/www.dataart.com\/blog\/why-insurance-data-lives-everywhere-except-where-you-need-it\" target=\"_blank\" rel=\"noopener\">data rich but insight poor<\/a>, held back by batch updates, siloed systems, and infrastructure built for stability rather than agility.<\/strong> That mismatch creates three key roadblocks:\u00a0<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<h3>1. Lagging Insights<\/h3>\n<p><span data-contrast=\"auto\">By the time<a href=\"https:\/\/www.novactech.com\/blog\/reasons-for-slow-insurance-claims-processing\" target=\"_blank\" rel=\"noopener\"> batch-processed data reaches decision-makers<\/a>, the opportunity may have passed. Consider what happens when a storm hits or when a large commercial risk is about to go to market: Every hour of delay reduces your reaction window.\u00a0<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<h3>2. Disconnected Silos<\/h3>\n<p><span data-contrast=\"auto\">Underwriting, claims, billing, and product teams often\u00a0maintain\u00a0separate datasets and vocabularies, <a href=\"https:\/\/www.plauti.com\/blog\/breaking-down-the-walls-how-to-overcome-data-silos-in-insurance-industry\" target=\"_blank\" rel=\"noopener\">creating data silos<\/a>. One unit may refer to a field as a \u201closs location,\u201d while another may call it an \u201cincident site.\u201d Unless you align those concepts, streaming data\u00a0won\u2019t\u00a0help you correlate meaningful patterns.\u00a0<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">In fact, research shows that business intelligence forces many insurers to store critical data across <a href=\"https:\/\/about.gitlab.com\/the-source\/ai\/how-the-insurance-industrys-data-rich-ecosystem-powers-ai-success\/\" target=\"_blank\" rel=\"noopener\">10 or more different systems<\/a>. This can sprawl data across legacy policy administration platforms, customer relationship management (CRM) systems, rating engines, claims systems, and third-party providers, making real-time access difficult.\u00a0<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<h3>3. Rigid Systems and Culture<\/h3>\n<p><span data-contrast=\"auto\">Many carriers\u00a0operate\u00a0on infrastructure designed for auditability rather than speed. A 2025 CIO article notes that insurers are moving <a href=\"https:\/\/www.cio.com\/article\/3967295\/from-legacy-to-lakehouse-centralizing-insurance-data-with-delta-lake.html\" target=\"_blank\" rel=\"noopener\">from legacy warehouses to\u00a0lakehouse\u00a0architectures<\/a> because the legacy warehouses cannot support real-time analytics at scale.\u00a0<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><strong>In fact, <a href=\"https:\/\/centricconsulting.com\/blog\/author\/pranays\/\" target=\"_blank\" rel=\"noopener\">according to Pranay Shyam<\/a>, Centric Consulting senior architect for our national data and analytics team, \u201cThe blocker\u00a0isn\u2019t\u00a0technology.\u00a0It\u2019s\u00a0culture, ownership, and alignment.\u201d\u00a0\u00a0<\/strong><\/p>\n<p><span data-contrast=\"auto\">In short,\u00a0it\u2019s\u00a0no longer enough to just <em>have<\/em> data. You must ensure your systems are wired to use it in real\u00a0time\u00a0and your organization is aligned to act accordingly. Without that alignment, you risk accelerating noise, not value.\u00a0<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<h2><span data-contrast=\"auto\">5 Steps to Overcoming Real-Time Data Barriers to Insurance Business Intelligence <\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/h2>\n<p><span data-contrast=\"auto\">Before you can deliver insights in real time, you need to ensure the data\u00a0you\u2019re\u00a0streaming is\u00a0accurate, consistent, and meaningful. <strong>But\u00a0laying\u00a0this foundation\u00a0isn\u2019t\u00a0always straightforward. Legacy systems, siloed processes, and cultural resistance can slow you down if\u00a0you\u2019re\u00a0not prepared.\u00a0<\/strong><\/span><strong>\u00a0<\/strong><\/p>\n<p><span data-contrast=\"auto\">Here\u2019s\u00a0what\u00a0you\u2019ll\u00a0need \u2014 and what often gets in the way:\u00a0<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<h3>1. Establish a Single Source of Truth<\/h3>\n<p><span data-contrast=\"auto\">A <a href=\"https:\/\/centricconsulting.com\/blog\/what-is-salesforce-data-cloud-a-comprehensive-guide_sf\/\" target=\"_blank\" rel=\"noopener\">single source\u00a0of truth<\/a> (SSOT) means your teams work from unified records rather than fragmented versions scattered across policy, claims, and billing systems. When each system\u00a0maintains\u00a0its own version of \u201ccustomer address\u201d or \u201closs location,\u201d it creates confusion and slows decision-making.\u00a0<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">The challenge is that most insurers still depend on decades-old core systems that\u00a0weren\u2019t\u00a0designed for integration. In fact, <a href=\"https:\/\/www.insurancebusinessmag.com\/us\/news\/technology\/are-legacy-systems-weighing-down-the-insurance-industry-514574.aspx\" target=\"_blank\" rel=\"noopener\">74 percent of insurance companies<\/a> continue to rely on outdated legacy technology for core functions like pricing and <a href=\"https:\/\/centricconsulting.com\/blog\/life-insurance-underwriting-the-recurring-dream-of-improvement\/\" target=\"_blank\" rel=\"noopener\">underwriting<\/a>. Without integration layers or cloud overlays, aligning data across systems can feel\u00a0nearly impossible.\u00a0<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<h3>2. Strengthen Data Governance<\/h3>\n<p><span data-contrast=\"auto\"><a href=\"https:\/\/www.guidewire.com\/resources\/insurance-technology-faq\/insurance-data-management\" target=\"_blank\" rel=\"noopener\">Data governance<\/a> ensures your data is trusted, auditable, and consistently defined across the enterprise. It covers ownership, access controls, and clarity of definitions \u2014 for example, making sure \u201closs location\u201d means the same thing to both underwriting and claims.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">However, governance efforts often stall because siloed business units \u2014 such as claims, underwriting, product, and billing teams \u2014\u00a0maintain\u00a0their own\u00a0vocabularies\u00a0and rules. Without a shared <a href=\"https:\/\/centricconsulting.com\/blog\/organizational-change-management-the-secret-to-data-governance-success\/\" target=\"_blank\" rel=\"noopener\">data governance framework<\/a>, streaming data may amplify inconsistencies rather than resolve them.\u00a0<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<h3>3. Develop Your Data Lake Backbone<\/h3>\n<p><span data-contrast=\"auto\">A <a href=\"https:\/\/centricconsulting.com\/technology-solutions\/data-analytics\/data-modernization-services\/\" target=\"_blank\" rel=\"noopener\">modern<\/a> data lake \u2014 or its newer evolution, the\u00a0lakehouse\u00a0\u2014 provides the scalability and flexibility needed to support real-time data flows. A data lake centralizes structured,\u00a0semistructured, and unstructured data, then\u00a0validates\u00a0it and distributes governed data streams across the business. <strong>Data lakes also set the stage for advanced capabilities like <a href=\"https:\/\/centricconsulting.com\/blog\/a-machine-learning-processes-intro-7-steps-to-an-efficient-workflow\/\" target=\"_blank\" rel=\"noopener\">machine learning<\/a> (ML) and process automation.\u00a0<\/strong><\/span><strong>\u00a0<\/strong><\/p>\n<p><span data-contrast=\"auto\">While cloud-native platforms make this more affordable than ever, leaders still hesitate to\u00a0buy into\u00a0these solutions without <a href=\"https:\/\/centricconsulting.com\/blog\/a-modern-insurance-analytics-platform-is-better-faster-stronger-and-cheaper\/\" target=\"_blank\" rel=\"noopener\">a clear path to return on investment<\/a> (ROI). Ongoing infrastructure and talent costs raise concerns, which is why you should start with high-impact use cases.\u00a0<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<h3>4. Move From Raw Data to Enriched Data<\/h3>\n<p><span data-contrast=\"auto\">\u201cThe difference between raw and enriched data is the difference between noise and insight. Enrichment is what makes data usable at real-time speed,\u201d <a href=\"https:\/\/centricconsulting.com\/blog\/author\/krism\/\" target=\"_blank\" rel=\"noopener\">says Kris Moniz<\/a>,\u00a0data\u00a0and analytics leader for Centric Consulting.\u00a0<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">Raw data is only the starting point \u2014 it tells you what happened, but not why. Enriched data adds context, such as linking claims with weather alerts, supplementing policies with external risk scores, or flagging fraud signals before they become payouts. <strong>Enrichment makes data more usable, whether\u00a0you\u2019re\u00a0running batch reports or streaming in real time \u2014\u00a0that\u2019s\u00a0why\u00a0it\u2019s\u00a0key to your <a href=\"https:\/\/centricconsulting.com\/blog\/how-to-build-your-insurance-data-strategy\/\" target=\"_blank\" rel=\"noopener\">insurance data strategy<\/a>\u00a0<\/strong><\/span><strong>\u00a0<\/strong><\/p>\n<p><span data-contrast=\"auto\">The challenge is balancing speed with accuracy. Every enrichment layer must be designed to add value without creating unacceptable lag. If enrichment slows your pipelines too much, you lose the advantage of timeliness.\u00a0<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<h3>5. Prioritize People and Culture<\/h3>\n<p><span data-contrast=\"auto\">However, technology\u00a0isn\u2019t\u00a0the main obstacle anymore. People are.\u00a0<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">Insurance has always been a cautious industry, and many carriers still assume real-time adoption is too complex or costly. Add to that a shortage of engineers and streaming architects, and the result is slow adoption even when the tools are ready.\u00a0<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">Industry research shows that<a href=\"https:\/\/www.mckinsey.com\/industries\/financial-services\/our-insights\/on-the-brink-realizing-the-value-of-analytics-in-insurance\" target=\"_blank\" rel=\"noopener\"> one in three insurers cite data and analytics skill shortages<\/a> as a major challenge to scaling their analytics usage. <strong>Without the right talent and leadership support, real-time data programs stall before they start.\u00a0<\/strong><\/span><strong>\u00a0<\/strong><\/p>\n<p><span data-contrast=\"auto\"><a href=\"https:\/\/centricconsulting.com\/blog\/5-actions-to-improve-leadership-and-change-management-to-build-trust\/\" target=\"_blank\" rel=\"noopener\">Change\u00a0has to\u00a0start at the top<\/a>, with executives sponsoring initiatives and encouraging new ways of thinking. Success depends on empowering business leaders to own data decisions, aligning IT and operations, and creating space for teams to experiment with new capabilities. With leadership buy-in, cultural barriers become opportunities for transformation.\u00a0<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">Even with\u00a0a strong foundation, integrating real-time data takes time. Legacy systems, siloed teams, cautious culture, and ROI concerns\u00a0don\u2019t\u00a0disappear overnight.\u00a0That\u2019s\u00a0why leadership commitment and a clear plan for early wins\u00a0are so\u00a0important. The key is to prioritize use cases where real-time data delivers measurable value fast.\u00a0<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<h2><span data-contrast=\"auto\">Modern Business Intelligence for Insurance: How to Implement Real-Time Data <\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/h2>\n<p><span data-contrast=\"auto\">With the foundation in place and the biggest barriers addressed, your next step is deciding where to focus first and how to turn early wins into long-term business impact.\u00a0Don\u2019t\u00a0launch an\u00a0enterprisewide\u00a0overhaul. Instead,\u00a0you\u2019ll\u00a0see the best results by prioritizing high-impact use cases, setting realistic expectations, and tying every initiative back to business value.\u00a0<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<h3>Focus on the Right Use Cases<\/h3>\n<p><span data-contrast=\"auto\">Not every process needs to\u00a0run\u00a0in real time. Focus first on areas where speed directly reduces cost or improves customer satisfaction by reducing friction in high-stakes moments, which can help with policyholder retention. For most carriers, that means:\u00a0<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<ul>\n<li><span data-contrast=\"auto\"><strong>Claims Triage:<\/strong> Routing adjusters faster during catastrophe events lowers loss adjustment expense and improves policyholder trust.\u00a0<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li>\n<li><span data-contrast=\"auto\"><strong>Quoting:<\/strong> Providing quick,\u00a0accurate\u00a0quotes gives you a competitive edge, especially in commercial insurance where the first mover often wins. \u201cIn commercial lines, the first accurate quote often wins,\u201d Gruenwald says. \u201cReal-time access to risk signals and history helps teams respond quickly and confidently.\u201d\u00a0<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li>\n<li><span data-contrast=\"auto\"><strong>Fraud Detection:<\/strong> Real-time data helps you flag suspicious claims or activity before payouts occur.\u00a0<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li>\n<\/ul>\n<h3>Set Realistic ROI Expectations<\/h3>\n<p><span data-contrast=\"auto\">Real-time initiatives can deliver wins in weeks, but cultural and organizational adoption takes longer. Think of ROI on two levels:\u00a0<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<ul>\n<li><span data-contrast=\"auto\"><strong>Short-Term Wins:<\/strong> Faster claim assignment or improved quoting speed, measured in days or weeks\u00a0<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li>\n<li><span data-contrast=\"auto\"><strong>Long-Term Gains:<\/strong> Reduced leakage, higher retention, better underwriting accuracy \u2014 benefits that build over months or years\u00a0<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li>\n<\/ul>\n<p><span data-contrast=\"auto\">Cloud-native platforms make these projects far more affordable than before.\u00a0It\u2019s\u00a0also important to account for ongoing operational costs, such as infrastructure, monitoring, and skilled talent, so ROI models reflect the full life cycle of real-time systems, not just the\u00a0initial\u00a0build.\u00a0<strong>Modern <a href=\"https:\/\/centricconsulting.com\/industries\/insurance\/insurance-analytics-platform\/\" target=\"_blank\" rel=\"noopener\">data and analytics platforms<\/a> are built to scale, allowing insurers to start small and expand without rebuilding from scratch<\/strong>.\u00a0<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<h3>Integrate With What You Already Have<\/h3>\n<p><span data-contrast=\"auto\">You don\u2019t need to rip and replace your policy administration system to use real-time data. In fact, most insurers find more success by <a href=\"https:\/\/www.insurancethoughtleadership.com\/going-digital\/legacy-systems-modernize-or-overhaul\" target=\"_blank\" rel=\"noopener\">layering new capabilities around their legacy cores<\/a> rather than\u00a0attempting\u00a0a full system overhaul.\u00a0<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">Practical approaches include:\u00a0<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<ul>\n<li><span data-contrast=\"auto\"><strong>Dashboards and Alerts:<\/strong> Streaming enriched claims data into a real-time dashboard allows adjusters to spot spikes\u00a0immediately, even if the claims platform itself\u00a0isn\u2019t\u00a0modernized.\u00a0<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li>\n<li><span data-contrast=\"auto\"><strong>APIs and Overlays:<\/strong> Application programming interfaces (APIs) or cloud-native overlays can connect legacy systems with real-time insurance business intelligence software, giving underwriters access to updated data without forcing them to switch tools.\u00a0<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li>\n<li><span data-contrast=\"auto\"><strong>Decision Support Engines:<\/strong> Instead of rewriting policy workflows, you can feed real-time risk scores or fraud indicators directly into existing decision engines, enhancing accuracy without disruption.\u00a0<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li>\n<\/ul>\n<p><span data-contrast=\"auto\">The goal is to enhance, not disrupt, the processes your teams already rely on.\u00a0<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<h2><span data-contrast=\"auto\">Build Momentum Through Measurement <\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/h2>\n<p><span data-contrast=\"auto\">The best way to win support is to show impact. Document improvements in cycle time, claims handling costs, or quote conversion rates and share them broadly. When executives and teams see measurable progress, adoption accelerates.\u00a0<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">One real-world example comes from outside the insurance industry but illustrates the same principle. Centric Consulting worked with a biogas producer facing strict regulatory requirements to report emissions data every minute. Missing even short intervals created compliance risks and financial penalties.\u00a0<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\"><strong>By shifting to real-time monitoring and alerting, the company could detect gaps instantly and take corrective action, using insurance business intelligence to turn what was once a liability into a measurable business advantage.<\/strong> Insurers face a similar challenge: When risk signals like weather alerts or claim spikes go unmonitored, costs can grow quickly. With real-time data, you can intervene before small issues become major losses.\u00a0<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">Real-time success comes from starting small, focusing on clear business value, and scaling what works. With the right use cases and expectations,\u00a0you\u2019ll\u00a0move from proof of concept to measurable payoff.\u00a0<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<h2><span data-contrast=\"auto\">What\u2019s Next for Insurance Business Intelligence Data <\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/h2>\n<p><span data-contrast=\"auto\">As customer expectations rise and new risks\u00a0emerge, insurers that continue to rely solely on batch processes will struggle to keep pace. The next frontier in business\u00a0intelligence for\u00a0insurance\u00a0isn\u2019t\u00a0just faster data, but smarter data: real-time streams enriched by artificial intelligence (AI), governed by strong business rules, and embedded seamlessly into decision-making.\u00a0<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\"><strong>Artificial intelligence will accelerate this shift. As models mature, AI can help insurers\u00a0identify\u00a0correlations among claims, policy, and external risk data that humans might miss.<\/strong> Early adopters are already using AI to strengthen fraud detection and <a href=\"https:\/\/centricconsulting.com\/blog\/life-insurance-underwriting-the-recurring-dream-of-improvement\/\" target=\"_blank\" rel=\"noopener\">underwriting precision<\/a>. Paired with real-time feeds, these tools make decisions faster, fairer, and more\u00a0accurate.\u00a0<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">The future\u00a0won\u2019t\u00a0be about whether insurers adopt real-time data. Instead, it will be about how quickly they can use insurance business intelligence software to scale it \u2014 and which use cases\u00a0deliver\u00a0the most business value. With a solid foundation, clear governance, and targeted use cases,\u00a0you\u2019ll\u00a0be positioned to\u00a0lead in\u00a0the insurance industry.\u00a0<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">Modern data solutions are essential for insurance companies that want to grow. We helped a P&amp;C insurance company modernize its data and safely retire legacy systems.\u00a0<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><a class=\"button-text\" href=\"https:\/\/centricconsulting.com\/client-stories\/preparing-secura-insurances-data-for-growth-and-expansion\/\" target=\"_blank\" rel=\"noopener\"><span data-contrast=\"auto\">READ THE STORY\u00a0<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/a><\/p>\n<p style=\"text-align: center;\"><em>Want to get more from your insurance data? Work with <a href=\"https:\/\/centricconsulting.com\/industries\/insurance\/\" target=\"_blank\" rel=\"noopener\">Centric Consulting\u2019s insurance experts<\/a> to modernize your data management and drive growth with real-time data. <\/em><a class=\"button-text\" href=\"https:\/\/centricconsulting.com\/contact-webless\/\" target=\"_blank\" rel=\"noopener\"><span data-contrast=\"auto\">CONTACT US<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Discover how real-time data is transforming insurance business intelligence. Learn 5 key steps to break down silos, modernize data systems, and enable faster, smarter decision-making.<\/p>\n","protected":false},"author":512,"featured_media":61399,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_oasis_is_in_workflow":0,"_oasis_original":0,"_oasis_task_priority":"","_relevanssi_hide_post":"","_relevanssi_hide_content":"","_relevanssi_pin_for_all":"","_relevanssi_pin_keywords":"","_relevanssi_unpin_keywords":"","_relevanssi_related_keywords":"","_relevanssi_related_include_ids":"","_relevanssi_related_exclude_ids":"","_relevanssi_related_no_append":"","_relevanssi_related_not_related":"","_relevanssi_related_posts":"","_relevanssi_noindex_reason":"","footnotes":""},"categories":[1],"tags":[],"coauthors":[23848],"class_list":["post-61390","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-uncategorized","resource-categories-perspectives","orbitmedia_post_topic-data-analytics","orbitmedia_post_industry-insurance"],"acf":[],"publishpress_future_action":{"enabled":false,"date":"2026-04-14 05:47:10","action":"change-status","newStatus":"draft","terms":[],"taxonomy":"category","extraData":[]},"publishpress_future_workflow_manual_trigger":{"enabledWorkflows":[]},"_links":{"self":[{"href":"https:\/\/centricconsulting.com\/wp-json\/wp\/v2\/posts\/61390","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/centricconsulting.com\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/centricconsulting.com\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/centricconsulting.com\/wp-json\/wp\/v2\/users\/512"}],"replies":[{"embeddable":true,"href":"https:\/\/centricconsulting.com\/wp-json\/wp\/v2\/comments?post=61390"}],"version-history":[{"count":10,"href":"https:\/\/centricconsulting.com\/wp-json\/wp\/v2\/posts\/61390\/revisions"}],"predecessor-version":[{"id":61413,"href":"https:\/\/centricconsulting.com\/wp-json\/wp\/v2\/posts\/61390\/revisions\/61413"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/centricconsulting.com\/wp-json\/wp\/v2\/media\/61399"}],"wp:attachment":[{"href":"https:\/\/centricconsulting.com\/wp-json\/wp\/v2\/media?parent=61390"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/centricconsulting.com\/wp-json\/wp\/v2\/categories?post=61390"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/centricconsulting.com\/wp-json\/wp\/v2\/tags?post=61390"},{"taxonomy":"author","embeddable":true,"href":"https:\/\/centricconsulting.com\/wp-json\/wp\/v2\/coauthors?post=61390"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}