Merge version_1 into main #2
301
src/app/page.tsx
301
src/app/page.tsx
@@ -34,9 +34,9 @@ export default function HomePage() {
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navItems={[
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{ name: "Home", id: "/" },
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{ name: "Product", id: "/product" },
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{ name: "Solutions", id: "/" },
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{ name: "Why DataPMI", id: "/" },
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{ name: "Resources", id: "/" },
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{ name: "Solutions", id: "/solutions" },
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{ name: "Why DataPMI", id: "/why-datapmi" },
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{ name: "Resources", id: "/resources" },
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]}
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button={{ text: "Book a Demo", href: "/contact" }}
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animateOnLoad={true}
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@@ -63,29 +63,17 @@ export default function HomePage() {
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buttonAnimation="slide-up"
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testimonials={[
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{
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name: "Sarah Chen",
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handle: "CEO, Global Financial Corp",
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testimonial:
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"DataPMI transformed our analytics capabilities. We now make data-driven decisions 10x faster with unprecedented clarity.",
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rating: 5,
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imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AsTFBwq6UXPxGqcZsRRkZrUD5D/professional-headshot-of-a-confident-fem-1773382785861-16b4691c.png",
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},
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name: "Sarah Chen", handle: "CEO, Global Financial Corp", testimonial:
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"DataPMI transformed our analytics capabilities. We now make data-driven decisions 10x faster with unprecedented clarity.", rating: 5,
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imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AsTFBwq6UXPxGqcZsRRkZrUD5D/professional-headshot-of-a-confident-fem-1773382785861-16b4691c.png"},
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{
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name: "Michael Rodriguez",
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handle: "VP Analytics, RetailTech Solutions",
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testimonial:
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"The platform unified our fragmented data sources and gave us actionable insights we've never had before.",
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rating: 5,
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imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AsTFBwq6UXPxGqcZsRRkZrUD5D/professional-headshot-of-a-confident-mal-1773382786056-35695960.png",
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},
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name: "Michael Rodriguez", handle: "VP Analytics, RetailTech Solutions", testimonial:
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"The platform unified our fragmented data sources and gave us actionable insights we've never had before.", rating: 5,
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imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AsTFBwq6UXPxGqcZsRRkZrUD5D/professional-headshot-of-a-confident-mal-1773382786056-35695960.png"},
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{
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name: "Emily Watson",
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handle: "Chief Data Officer, Healthcare Networks",
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testimonial:
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"Exceptional intelligence. The AI automation capabilities reduced our reporting time by 70% while improving accuracy.",
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rating: 5,
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||||
imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AsTFBwq6UXPxGqcZsRRkZrUD5D/professional-headshot-of-a-confident-fem-1773382785953-7cbb8b1c.png",
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},
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name: "Emily Watson", handle: "Chief Data Officer, Healthcare Networks", testimonial:
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"Exceptional intelligence. The AI automation capabilities reduced our reporting time by 70% while improving accuracy.", rating: 5,
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imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AsTFBwq6UXPxGqcZsRRkZrUD5D/professional-headshot-of-a-confident-fem-1773382785953-7cbb8b1c.png"},
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]}
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testimonialRotationInterval={5000}
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useInvertedBackground={false}
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@@ -104,29 +92,14 @@ export default function HomePage() {
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tagAnimation="slide-up"
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features={[
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{
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id: "01",
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title: "Data Intelligence Cloud",
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description:
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"Unified cloud platform for data integration, governance, and real-time analytics across enterprise sources",
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imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AsTFBwq6UXPxGqcZsRRkZrUD5D/illustration-of-a-cloud-computing-infras-1773382787444-0add34a5.png?_wi=1",
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imageAlt: "Data Intelligence Cloud",
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},
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id: "01", title: "Data Intelligence Cloud", description:
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"Unified cloud platform for data integration, governance, and real-time analytics across enterprise sources", imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AsTFBwq6UXPxGqcZsRRkZrUD5D/illustration-of-a-cloud-computing-infras-1773382787444-0add34a5.png", imageAlt: "Data Intelligence Cloud"},
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{
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id: "02",
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title: "Performance Analytics Suite",
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description:
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"Advanced analytics engine with AI-driven insights, predictive models, and custom dashboards for operational excellence",
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imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AsTFBwq6UXPxGqcZsRRkZrUD5D/advanced-analytics-visualization-showing-1773382787321-f76249fa.png?_wi=1",
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imageAlt: "Performance Analytics Suite",
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},
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id: "02", title: "Performance Analytics Suite", description:
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"Advanced analytics engine with AI-driven insights, predictive models, and custom dashboards for operational excellence", imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AsTFBwq6UXPxGqcZsRRkZrUD5D/advanced-analytics-visualization-showing-1773382787321-f76249fa.png", imageAlt: "Performance Analytics Suite"},
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{
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id: "03",
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title: "AI Automation Studio",
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description:
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"No-code automation platform for intelligent workflows, RPA processes, and data-driven decision orchestration",
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imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AsTFBwq6UXPxGqcZsRRkZrUD5D/no-code-automation-workflow-interface-sh-1773382791802-86f8c50f.png?_wi=1",
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imageAlt: "AI Automation Studio",
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},
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id: "03", title: "AI Automation Studio", description:
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"No-code automation platform for intelligent workflows, RPA processes, and data-driven decision orchestration", imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AsTFBwq6UXPxGqcZsRRkZrUD5D/no-code-automation-workflow-interface-sh-1773382791802-86f8c50f.png", imageAlt: "AI Automation Studio"},
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]}
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gridVariant="three-columns-all-equal-width"
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animationType="slide-up"
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@@ -147,37 +120,17 @@ export default function HomePage() {
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tagAnimation="slide-up"
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features={[
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{
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id: "01",
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title: "Faster Decisions",
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description:
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"Real-time data processing and AI insights enable rapid decision-making at every level",
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imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AsTFBwq6UXPxGqcZsRRkZrUD5D/fast-moving-data-streams-and-metrics-wit-1773382786333-54c2a5e1.png?_wi=1",
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imageAlt: "Faster Decisions",
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},
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id: "01", title: "Faster Decisions", description:
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"Real-time data processing and AI insights enable rapid decision-making at every level", imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AsTFBwq6UXPxGqcZsRRkZrUD5D/fast-moving-data-streams-and-metrics-wit-1773382786333-54c2a5e1.png", imageAlt: "Faster Decisions"},
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{
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id: "02",
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title: "Unified Data Visibility",
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description:
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"Complete data landscape integration eliminates silos and provides single source of truth",
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imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AsTFBwq6UXPxGqcZsRRkZrUD5D/multiple-data-sources-converging-into-a--1773382787348-7bbe8ba4.png?_wi=1",
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imageAlt: "Unified Data Visibility",
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},
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id: "02", title: "Unified Data Visibility", description:
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"Complete data landscape integration eliminates silos and provides single source of truth", imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AsTFBwq6UXPxGqcZsRRkZrUD5D/multiple-data-sources-converging-into-a--1773382787348-7bbe8ba4.png", imageAlt: "Unified Data Visibility"},
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{
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id: "03",
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title: "Predictive AI Insights",
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description:
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"Machine learning models anticipate trends, optimize performance, and reduce business risks",
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imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AsTFBwq6UXPxGqcZsRRkZrUD5D/ai-powered-predictive-analytics-visualiz-1773382786819-f7fec723.png?_wi=1",
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imageAlt: "Predictive AI Insights",
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},
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id: "03", title: "Predictive AI Insights", description:
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||||
"Machine learning models anticipate trends, optimize performance, and reduce business risks", imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AsTFBwq6UXPxGqcZsRRkZrUD5D/ai-powered-predictive-analytics-visualiz-1773382786819-f7fec723.png", imageAlt: "Predictive AI Insights"},
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{
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id: "04",
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title: "Enterprise Scalability",
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description:
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"Cloud-native architecture scales seamlessly from thousands to billions of data points",
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imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AsTFBwq6UXPxGqcZsRRkZrUD5D/cloud-infrastructure-scaling-visualizati-1773382787787-27000b5a.png?_wi=1",
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imageAlt: "Enterprise Scalability",
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},
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id: "04", title: "Enterprise Scalability", description:
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"Cloud-native architecture scales seamlessly from thousands to billions of data points", imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AsTFBwq6UXPxGqcZsRRkZrUD5D/cloud-infrastructure-scaling-visualizati-1773382787787-27000b5a.png", imageAlt: "Enterprise Scalability"},
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]}
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gridVariant="four-items-2x2-equal-grid"
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animationType="slide-up"
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@@ -196,62 +149,27 @@ export default function HomePage() {
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tagAnimation="slide-up"
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products={[
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{
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id: "finance",
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brand: "Financial Services",
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name: "Advanced Analytics for Banking",
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price: "Enterprise",
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rating: 5,
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reviewCount: "500+",
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imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AsTFBwq6UXPxGqcZsRRkZrUD5D/modern-financial-services-dashboard-show-1773382787270-4dfc8753.png?_wi=1",
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imageAlt: "Financial Services Analytics",
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},
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id: "finance", brand: "Financial Services", name: "Advanced Analytics for Banking", price: "Enterprise", rating: 5,
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reviewCount: "500+", imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AsTFBwq6UXPxGqcZsRRkZrUD5D/modern-financial-services-dashboard-show-1773382787270-4dfc8753.png", imageAlt: "Financial Services Analytics"},
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{
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id: "manufacturing",
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brand: "Manufacturing",
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name: "Production Intelligence Platform",
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price: "Enterprise",
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rating: 5,
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reviewCount: "400+",
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||||
imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AsTFBwq6UXPxGqcZsRRkZrUD5D/manufacturing-production-floor-analytics-1773382787815-83031a93.png?_wi=1",
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imageAlt: "Manufacturing Analytics",
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||||
},
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id: "manufacturing", brand: "Manufacturing", name: "Production Intelligence Platform", price: "Enterprise", rating: 5,
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||||
reviewCount: "400+", imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AsTFBwq6UXPxGqcZsRRkZrUD5D/manufacturing-production-floor-analytics-1773382787815-83031a93.png", imageAlt: "Manufacturing Analytics"},
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{
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id: "healthcare",
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brand: "Healthcare",
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name: "Patient Data Intelligence Suite",
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price: "Enterprise",
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||||
rating: 5,
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||||
reviewCount: "450+",
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||||
imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AsTFBwq6UXPxGqcZsRRkZrUD5D/healthcare-analytics-showing-patient-dat-1773382787639-d591a1cd.png?_wi=1",
|
||||
imageAlt: "Healthcare Analytics",
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||||
},
|
||||
id: "healthcare", brand: "Healthcare", name: "Patient Data Intelligence Suite", price: "Enterprise", rating: 5,
|
||||
reviewCount: "450+", imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AsTFBwq6UXPxGqcZsRRkZrUD5D/healthcare-analytics-showing-patient-dat-1773382787639-d591a1cd.png", imageAlt: "Healthcare Analytics"},
|
||||
{
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||||
id: "retail",
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||||
brand: "Retail & E-commerce",
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||||
name: "Customer Analytics Engine",
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||||
price: "Enterprise",
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||||
rating: 5,
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||||
reviewCount: "380+",
|
||||
imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AsTFBwq6UXPxGqcZsRRkZrUD5D/retail-analytics-dashboard-showing-custo-1773382791131-19b3231e.png?_wi=1",
|
||||
imageAlt: "Retail Analytics",
|
||||
},
|
||||
id: "retail", brand: "Retail & E-commerce", name: "Customer Analytics Engine", price: "Enterprise", rating: 5,
|
||||
reviewCount: "380+", imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AsTFBwq6UXPxGqcZsRRkZrUD5D/retail-analytics-dashboard-showing-custo-1773382791131-19b3231e.png", imageAlt: "Retail Analytics"},
|
||||
{
|
||||
id: "professional",
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||||
brand: "Professional Services",
|
||||
name: "Project Intelligence System",
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||||
price: "Enterprise",
|
||||
rating: 5,
|
||||
reviewCount: "320+",
|
||||
imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AsTFBwq6UXPxGqcZsRRkZrUD5D/professional-services-analytics-showing--1773382788210-fe81f482.png?_wi=1",
|
||||
imageAlt: "Professional Services Analytics",
|
||||
},
|
||||
id: "professional", brand: "Professional Services", name: "Project Intelligence System", price: "Enterprise", rating: 5,
|
||||
reviewCount: "320+", imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AsTFBwq6UXPxGqcZsRRkZrUD5D/professional-services-analytics-showing--1773382788210-fe81f482.png", imageAlt: "Professional Services Analytics"},
|
||||
]}
|
||||
gridVariant="three-columns-all-equal-width"
|
||||
carouselMode="buttons"
|
||||
animationType="slide-up"
|
||||
textboxLayout="default"
|
||||
useInvertedBackground={false}
|
||||
buttons={[{ text: "View All Industries", href: "/" }]}
|
||||
buttons={[{ text: "View All Industries", href: "/solutions" }]}
|
||||
buttonAnimation="slide-up"
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||||
/>
|
||||
</div>
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||||
@@ -266,59 +184,23 @@ export default function HomePage() {
|
||||
tagAnimation="slide-up"
|
||||
testimonials={[
|
||||
{
|
||||
id: "1",
|
||||
name: "Jennifer Park",
|
||||
handle: "Chief Analytics Officer, Global Banking",
|
||||
testimonial:
|
||||
"DataPMI's platform eliminated manual reporting processes that consumed 200+ hours monthly. We now have real-time dashboards and faster insights.",
|
||||
imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AsTFBwq6UXPxGqcZsRRkZrUD5D/professional-headshot-of-a-confident-wom-1773382786206-346eac80.png?_wi=1",
|
||||
imageAlt: "Jennifer Park",
|
||||
},
|
||||
id: "1", name: "Jennifer Park", handle: "Chief Analytics Officer, Global Banking", testimonial:
|
||||
"DataPMI's platform eliminated manual reporting processes that consumed 200+ hours monthly. We now have real-time dashboards and faster insights.", imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AsTFBwq6UXPxGqcZsRRkZrUD5D/professional-headshot-of-a-confident-wom-1773382786206-346eac80.png", imageAlt: "Jennifer Park"},
|
||||
{
|
||||
id: "2",
|
||||
name: "David Morrison",
|
||||
handle: "Director of Operations, Manufacturing Co",
|
||||
testimonial:
|
||||
"The predictive analytics caught production inefficiencies we'd missed for years. ROI was achieved in under 6 months.",
|
||||
imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AsTFBwq6UXPxGqcZsRRkZrUD5D/professional-headshot-of-a-confident-man-1773382786167-b662d7a3.png?_wi=1",
|
||||
imageAlt: "David Morrison",
|
||||
},
|
||||
id: "2", name: "David Morrison", handle: "Director of Operations, Manufacturing Co", testimonial:
|
||||
"The predictive analytics caught production inefficiencies we'd missed for years. ROI was achieved in under 6 months.", imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AsTFBwq6UXPxGqcZsRRkZrUD5D/professional-headshot-of-a-confident-man-1773382786167-b662d7a3.png", imageAlt: "David Morrison"},
|
||||
{
|
||||
id: "3",
|
||||
name: "Lisa Chen",
|
||||
handle: "VP Data Science, Healthcare Network",
|
||||
testimonial:
|
||||
"Unifying our fragmented data sources gave us insights into patient outcomes we never had access to before. Game-changing for clinical decisions.",
|
||||
imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AsTFBwq6UXPxGqcZsRRkZrUD5D/professional-headshot-of-an-asian-woman--1773382786441-912df02b.png?_wi=1",
|
||||
imageAlt: "Lisa Chen",
|
||||
},
|
||||
id: "3", name: "Lisa Chen", handle: "VP Data Science, Healthcare Network", testimonial:
|
||||
"Unifying our fragmented data sources gave us insights into patient outcomes we never had access to before. Game-changing for clinical decisions.", imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AsTFBwq6UXPxGqcZsRRkZrUD5D/professional-headshot-of-an-asian-woman--1773382786441-912df02b.png", imageAlt: "Lisa Chen"},
|
||||
{
|
||||
id: "4",
|
||||
name: "Marcus Thompson",
|
||||
handle: "Retail Strategy Lead, Fashion Brand",
|
||||
testimonial:
|
||||
"The customer analytics engine increased our inventory optimization accuracy by 40%. Margins improved significantly.",
|
||||
imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AsTFBwq6UXPxGqcZsRRkZrUD5D/professional-headshot-of-a-man-in-retail-1773382786538-1c0824d1.png?_wi=1",
|
||||
imageAlt: "Marcus Thompson",
|
||||
},
|
||||
id: "4", name: "Marcus Thompson", handle: "Retail Strategy Lead, Fashion Brand", testimonial:
|
||||
"The customer analytics engine increased our inventory optimization accuracy by 40%. Margins improved significantly.", imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AsTFBwq6UXPxGqcZsRRkZrUD5D/professional-headshot-of-a-man-in-retail-1773382786538-1c0824d1.png", imageAlt: "Marcus Thompson"},
|
||||
{
|
||||
id: "5",
|
||||
name: "Rachel Goldman",
|
||||
handle: "Principal, Management Consulting Firm",
|
||||
testimonial:
|
||||
"DataPMI's automation capabilities freed our team from data wrangling. We now focus on high-value strategy work.",
|
||||
imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AsTFBwq6UXPxGqcZsRRkZrUD5D/professional-headshot-of-a-woman-in-cons-1773382788533-d883533c.png?_wi=1",
|
||||
imageAlt: "Rachel Goldman",
|
||||
},
|
||||
id: "5", name: "Rachel Goldman", handle: "Principal, Management Consulting Firm", testimonial:
|
||||
"DataPMI's automation capabilities freed our team from data wrangling. We now focus on high-value strategy work.", imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AsTFBwq6UXPxGqcZsRRkZrUD5D/professional-headshot-of-a-woman-in-cons-1773382788533-d883533c.png", imageAlt: "Rachel Goldman"},
|
||||
{
|
||||
id: "6",
|
||||
name: "Thomas Weber",
|
||||
handle: "CFO, Technology Enterprise",
|
||||
testimonial:
|
||||
"Financial reporting accuracy improved 99.8%. The platform's governance framework simplified compliance significantly.",
|
||||
imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AsTFBwq6UXPxGqcZsRRkZrUD5D/professional-headshot-of-a-man-in-financ-1773382786264-859cf029.png?_wi=1",
|
||||
imageAlt: "Thomas Weber",
|
||||
},
|
||||
id: "6", name: "Thomas Weber", handle: "CFO, Technology Enterprise", testimonial:
|
||||
"Financial reporting accuracy improved 99.8%. The platform's governance framework simplified compliance significantly.", imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AsTFBwq6UXPxGqcZsRRkZrUD5D/professional-headshot-of-a-man-in-financ-1773382786264-859cf029.png", imageAlt: "Thomas Weber"},
|
||||
]}
|
||||
animationType="slide-up"
|
||||
textboxLayout="default"
|
||||
@@ -338,46 +220,22 @@ export default function HomePage() {
|
||||
tagAnimation="slide-up"
|
||||
blogs={[
|
||||
{
|
||||
id: "1",
|
||||
category: ["Banking", "Analytics"],
|
||||
title: "Global Bank Achieves 70% Faster Analytics",
|
||||
excerpt:
|
||||
"How a leading financial institution unified disparate data sources and cut reporting time from weeks to hours with DataPMI",
|
||||
imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AsTFBwq6UXPxGqcZsRRkZrUD5D/modern-banking-data-center-and-analytics-1773382787714-aed169c5.png?_wi=1",
|
||||
imageAlt: "Banking Case Study",
|
||||
authorName: "DataPMI Team",
|
||||
authorAvatar: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AsTFBwq6UXPxGqcZsRRkZrUD5D/professional-company-branding-image-or-t-1773382786704-425ad940.png",
|
||||
date: "15 Jan 2025",
|
||||
},
|
||||
id: "1", category: ["Banking", "Analytics"],
|
||||
title: "Global Bank Achieves 70% Faster Analytics", excerpt:
|
||||
"How a leading financial institution unified disparate data sources and cut reporting time from weeks to hours with DataPMI", imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AsTFBwq6UXPxGqcZsRRkZrUD5D/modern-banking-data-center-and-analytics-1773382787714-aed169c5.png", imageAlt: "Banking Case Study", authorName: "DataPMI Team", authorAvatar: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AsTFBwq6UXPxGqcZsRRkZrUD5D/professional-company-branding-image-or-t-1773382786704-425ad940.png", date: "15 Jan 2025"},
|
||||
{
|
||||
id: "2",
|
||||
category: ["Manufacturing", "Optimization"],
|
||||
title: "Manufacturer Reduces Production Costs by 25%",
|
||||
excerpt:
|
||||
"Predictive analytics and real-time monitoring identified inefficiencies, resulting in significant operational savings and improved margins",
|
||||
imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AsTFBwq6UXPxGqcZsRRkZrUD5D/advanced-manufacturing-facility-with-iot-1773382786943-b9c8e77b.png?_wi=1",
|
||||
imageAlt: "Manufacturing Case Study",
|
||||
authorName: "DataPMI Team",
|
||||
authorAvatar: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AsTFBwq6UXPxGqcZsRRkZrUD5D/professional-company-branding-image-or-t-1773382786704-425ad940.png",
|
||||
date: "10 Jan 2025",
|
||||
},
|
||||
id: "2", category: ["Manufacturing", "Optimization"],
|
||||
title: "Manufacturer Reduces Production Costs by 25%", excerpt:
|
||||
"Predictive analytics and real-time monitoring identified inefficiencies, resulting in significant operational savings and improved margins", imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AsTFBwq6UXPxGqcZsRRkZrUD5D/advanced-manufacturing-facility-with-iot-1773382786943-b9c8e77b.png", imageAlt: "Manufacturing Case Study", authorName: "DataPMI Team", authorAvatar: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AsTFBwq6UXPxGqcZsRRkZrUD5D/professional-company-branding-image-or-t-1773382786704-425ad940.png", date: "10 Jan 2025"},
|
||||
{
|
||||
id: "3",
|
||||
category: ["Healthcare", "Patient Data"],
|
||||
title: "Healthcare Network Improves Patient Outcomes by 35%",
|
||||
excerpt:
|
||||
"Integrated patient data analytics enabled clinical teams to identify patterns and optimize treatment protocols across 12 facilities",
|
||||
imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AsTFBwq6UXPxGqcZsRRkZrUD5D/modern-healthcare-facility-with-patient--1773382786483-3fb1db48.png?_wi=1",
|
||||
imageAlt: "Healthcare Case Study",
|
||||
authorName: "DataPMI Team",
|
||||
authorAvatar: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AsTFBwq6UXPxGqcZsRRkZrUD5D/professional-company-branding-image-or-t-1773382786704-425ad940.png",
|
||||
date: "5 Jan 2025",
|
||||
},
|
||||
id: "3", category: ["Healthcare", "Patient Data"],
|
||||
title: "Healthcare Network Improves Patient Outcomes by 35%", excerpt:
|
||||
"Integrated patient data analytics enabled clinical teams to identify patterns and optimize treatment protocols across 12 facilities", imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AsTFBwq6UXPxGqcZsRRkZrUD5D/modern-healthcare-facility-with-patient--1773382786483-3fb1db48.png", imageAlt: "Healthcare Case Study", authorName: "DataPMI Team", authorAvatar: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AsTFBwq6UXPxGqcZsRRkZrUD5D/professional-company-branding-image-or-t-1773382786704-425ad940.png", date: "5 Jan 2025"},
|
||||
]}
|
||||
animationType="slide-up"
|
||||
textboxLayout="default"
|
||||
useInvertedBackground={false}
|
||||
buttons={[{ text: "View All Case Studies", href: "/" }]}
|
||||
buttons={[{ text: "View All Case Studies", href: "/case-studies" }]}
|
||||
buttonAnimation="slide-up"
|
||||
/>
|
||||
</div>
|
||||
@@ -393,16 +251,10 @@ export default function HomePage() {
|
||||
textboxLayout="default"
|
||||
useInvertedBackground={false}
|
||||
logos={[
|
||||
"https://webuild-dev.s3.eu-north-1.amazonaws.com/default/no-image.jpg?id=79isa5",
|
||||
"https://webuild-dev.s3.eu-north-1.amazonaws.com/default/no-image.jpg?id=ckeiy7",
|
||||
"https://webuild-dev.s3.eu-north-1.amazonaws.com/default/no-image.jpg?id=k3v7i1",
|
||||
"https://webuild-dev.s3.eu-north-1.amazonaws.com/default/no-image.jpg?id=tm3jaf",
|
||||
"https://webuild-dev.s3.eu-north-1.amazonaws.com/default/no-image.jpg?id=9qad1h",
|
||||
"https://webuild-dev.s3.eu-north-1.amazonaws.com/default/no-image.jpg?id=uemyyt",
|
||||
"https://webuild-dev.s3.eu-north-1.amazonaws.com/default/no-image.jpg?id=4qqx4u",
|
||||
]}
|
||||
"https://webuild-dev.s3.eu-north-1.amazonaws.com/default/no-image.jpg?id=79isa5", "https://webuild-dev.s3.eu-north-1.amazonaws.com/default/no-image.jpg?id=ckeiy7", "https://webuild-dev.s3.eu-north-1.amazonaws.com/default/no-image.jpg?id=k3v7i1", "https://webuild-dev.s3.eu-north-1.amazonaws.com/default/no-image.jpg?id=tm3jaf", "https://webuild-dev.s3.eu-north-1.amazonaws.com/default/no-image.jpg?id=9qad1h", "https://webuild-dev.s3.eu-north-1.amazonaws.com/default/no-image.jpg?id=uemyyt", "https://webuild-dev.s3.eu-north-1.amazonaws.com/default/no-image.jpg?id=4qqx4u"]}
|
||||
speed={40}
|
||||
showCard={true}
|
||||
names={[]}
|
||||
/>
|
||||
</div>
|
||||
|
||||
@@ -424,40 +276,35 @@ export default function HomePage() {
|
||||
<FooterSimple
|
||||
columns={[
|
||||
{
|
||||
title: "Product",
|
||||
items: [
|
||||
{ label: "Data Intelligence Cloud", href: "/" },
|
||||
{ label: "Performance Analytics", href: "/" },
|
||||
{ label: "AI Automation Studio", href: "/" },
|
||||
title: "Product", items: [
|
||||
{ label: "Data Intelligence Cloud", href: "/product" },
|
||||
{ label: "Performance Analytics", href: "/product" },
|
||||
{ label: "AI Automation Studio", href: "/product" },
|
||||
],
|
||||
},
|
||||
{
|
||||
title: "Solutions",
|
||||
items: [
|
||||
{ label: "Enterprise Performance", href: "/" },
|
||||
{ label: "Sales Performance", href: "/" },
|
||||
{ label: "Digital Transformation", href: "/" },
|
||||
title: "Solutions", items: [
|
||||
{ label: "Enterprise Performance", href: "/solutions" },
|
||||
{ label: "Sales Performance", href: "/solutions" },
|
||||
{ label: "Digital Transformation", href: "/solutions" },
|
||||
],
|
||||
},
|
||||
{
|
||||
title: "Company",
|
||||
items: [
|
||||
title: "Company", items: [
|
||||
{ label: "About Us", href: "/" },
|
||||
{ label: "Case Studies", href: "/" },
|
||||
{ label: "Contact", href: "/" },
|
||||
{ label: "Case Studies", href: "/case-studies" },
|
||||
{ label: "Contact", href: "/contact" },
|
||||
],
|
||||
},
|
||||
{
|
||||
title: "Resources",
|
||||
items: [
|
||||
title: "Resources", items: [
|
||||
{ label: "Documentation", href: "#" },
|
||||
{ label: "API Reference", href: "#" },
|
||||
{ label: "Support", href: "#" },
|
||||
],
|
||||
},
|
||||
{
|
||||
title: "Legal",
|
||||
items: [
|
||||
title: "Legal", items: [
|
||||
{ label: "Privacy Policy", href: "#" },
|
||||
{ label: "Terms of Service", href: "#" },
|
||||
{ label: "Cookie Policy", href: "#" },
|
||||
|
||||
@@ -6,6 +6,7 @@ import FeatureCardThree from "@/components/sections/feature/featureCardThree/Fea
|
||||
import ProductCardTwo from "@/components/sections/product/ProductCardTwo";
|
||||
import FooterSimple from "@/components/sections/footer/FooterSimple";
|
||||
import Link from "next/link";
|
||||
import { Building2, TrendingUp } from "lucide-react";
|
||||
|
||||
export default function SolutionsPage() {
|
||||
const navItems = [
|
||||
@@ -18,40 +19,35 @@ export default function SolutionsPage() {
|
||||
|
||||
const footerColumns = [
|
||||
{
|
||||
title: "Product",
|
||||
items: [
|
||||
{ label: "Data Intelligence Cloud", href: "/" },
|
||||
{ label: "Performance Analytics", href: "/" },
|
||||
{ label: "AI Automation Studio", href: "/" },
|
||||
title: "Product", items: [
|
||||
{ label: "Data Intelligence Cloud", href: "/product" },
|
||||
{ label: "Performance Analytics", href: "/product" },
|
||||
{ label: "AI Automation Studio", href: "/product" },
|
||||
],
|
||||
},
|
||||
{
|
||||
title: "Solutions",
|
||||
items: [
|
||||
title: "Solutions", items: [
|
||||
{ label: "Enterprise Performance", href: "/solutions" },
|
||||
{ label: "Sales Performance", href: "/solutions" },
|
||||
{ label: "Digital Transformation", href: "/solutions" },
|
||||
],
|
||||
},
|
||||
{
|
||||
title: "Company",
|
||||
items: [
|
||||
title: "Company", items: [
|
||||
{ label: "About Us", href: "/" },
|
||||
{ label: "Case Studies", href: "/" },
|
||||
{ label: "Contact", href: "/" },
|
||||
{ label: "Case Studies", href: "/case-studies" },
|
||||
{ label: "Contact", href: "/contact" },
|
||||
],
|
||||
},
|
||||
{
|
||||
title: "Resources",
|
||||
items: [
|
||||
title: "Resources", items: [
|
||||
{ label: "Documentation", href: "#" },
|
||||
{ label: "API Reference", href: "#" },
|
||||
{ label: "Support", href: "#" },
|
||||
],
|
||||
},
|
||||
{
|
||||
title: "Legal",
|
||||
items: [
|
||||
title: "Legal", items: [
|
||||
{ label: "Privacy Policy", href: "#" },
|
||||
{ label: "Terms of Service", href: "#" },
|
||||
{ label: "Cookie Policy", href: "#" },
|
||||
@@ -80,9 +76,7 @@ export default function SolutionsPage() {
|
||||
id: item.id,
|
||||
}))}
|
||||
button={{
|
||||
text: "Book a Demo",
|
||||
href: "/",
|
||||
}}
|
||||
text: "Book a Demo", href: "/contact"}}
|
||||
animateOnLoad={true}
|
||||
/>
|
||||
</div>
|
||||
@@ -92,59 +86,24 @@ export default function SolutionsPage() {
|
||||
title="Industry Solutions"
|
||||
description="Tailored data intelligence platforms for industry-specific challenges and opportunities"
|
||||
tag="Vertical Integration"
|
||||
tagIcon="Building2"
|
||||
tagIcon={Building2}
|
||||
tagAnimation="slide-up"
|
||||
products={[
|
||||
{
|
||||
id: "finance",
|
||||
brand: "Financial Services",
|
||||
name: "Advanced Analytics for Banking",
|
||||
price: "Enterprise",
|
||||
rating: 5,
|
||||
reviewCount: "500+",
|
||||
imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AsTFBwq6UXPxGqcZsRRkZrUD5D/modern-financial-services-dashboard-show-1773382787270-4dfc8753.png?_wi=3",
|
||||
imageAlt: "Modern financial services dashboard",
|
||||
},
|
||||
id: "finance", brand: "Financial Services", name: "Advanced Analytics for Banking", price: "Enterprise", rating: 5,
|
||||
reviewCount: "500+", imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AsTFBwq6UXPxGqcZsRRkZrUD5D/modern-financial-services-dashboard-show-1773382787270-4dfc8753.png", imageAlt: "Modern financial services dashboard"},
|
||||
{
|
||||
id: "manufacturing",
|
||||
brand: "Manufacturing",
|
||||
name: "Production Intelligence Platform",
|
||||
price: "Enterprise",
|
||||
rating: 5,
|
||||
reviewCount: "400+",
|
||||
imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AsTFBwq6UXPxGqcZsRRkZrUD5D/manufacturing-production-floor-analytics-1773382787815-83031a93.png?_wi=3",
|
||||
imageAlt: "Manufacturing production floor analytics",
|
||||
},
|
||||
id: "manufacturing", brand: "Manufacturing", name: "Production Intelligence Platform", price: "Enterprise", rating: 5,
|
||||
reviewCount: "400+", imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AsTFBwq6UXPxGqcZsRRkZrUD5D/manufacturing-production-floor-analytics-1773382787815-83031a93.png", imageAlt: "Manufacturing production floor analytics"},
|
||||
{
|
||||
id: "healthcare",
|
||||
brand: "Healthcare",
|
||||
name: "Patient Data Intelligence Suite",
|
||||
price: "Enterprise",
|
||||
rating: 5,
|
||||
reviewCount: "450+",
|
||||
imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AsTFBwq6UXPxGqcZsRRkZrUD5D/healthcare-analytics-showing-patient-dat-1773382787639-d591a1cd.png?_wi=3",
|
||||
imageAlt: "Healthcare analytics platform",
|
||||
},
|
||||
id: "healthcare", brand: "Healthcare", name: "Patient Data Intelligence Suite", price: "Enterprise", rating: 5,
|
||||
reviewCount: "450+", imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AsTFBwq6UXPxGqcZsRRkZrUD5D/healthcare-analytics-showing-patient-dat-1773382787639-d591a1cd.png", imageAlt: "Healthcare analytics platform"},
|
||||
{
|
||||
id: "retail",
|
||||
brand: "Retail & E-commerce",
|
||||
name: "Customer Analytics Engine",
|
||||
price: "Enterprise",
|
||||
rating: 5,
|
||||
reviewCount: "380+",
|
||||
imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AsTFBwq6UXPxGqcZsRRkZrUD5D/retail-analytics-dashboard-showing-custo-1773382791131-19b3231e.png?_wi=2",
|
||||
imageAlt: "Retail analytics dashboard",
|
||||
},
|
||||
id: "retail", brand: "Retail & E-commerce", name: "Customer Analytics Engine", price: "Enterprise", rating: 5,
|
||||
reviewCount: "380+", imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AsTFBwq6UXPxGqcZsRRkZrUD5D/retail-analytics-dashboard-showing-custo-1773382791131-19b3231e.png", imageAlt: "Retail analytics dashboard"},
|
||||
{
|
||||
id: "professional",
|
||||
brand: "Professional Services",
|
||||
name: "Project Intelligence System",
|
||||
price: "Enterprise",
|
||||
rating: 5,
|
||||
reviewCount: "320+",
|
||||
imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AsTFBwq6UXPxGqcZsRRkZrUD5D/professional-services-analytics-showing--1773382788210-fe81f482.png?_wi=2",
|
||||
imageAlt: "Professional services analytics",
|
||||
},
|
||||
id: "professional", brand: "Professional Services", name: "Project Intelligence System", price: "Enterprise", rating: 5,
|
||||
reviewCount: "320+", imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AsTFBwq6UXPxGqcZsRRkZrUD5D/professional-services-analytics-showing--1773382788210-fe81f482.png", imageAlt: "Professional services analytics"},
|
||||
]}
|
||||
gridVariant="three-columns-all-equal-width"
|
||||
carouselMode="buttons"
|
||||
@@ -153,9 +112,7 @@ export default function SolutionsPage() {
|
||||
useInvertedBackground={false}
|
||||
buttons={[
|
||||
{
|
||||
text: "Explore All Industries",
|
||||
href: "/",
|
||||
},
|
||||
text: "Explore All Industries", href: "/solutions"},
|
||||
]}
|
||||
buttonAnimation="slide-up"
|
||||
/>
|
||||
@@ -166,37 +123,17 @@ export default function SolutionsPage() {
|
||||
title="Why Enterprises Choose DataPMI"
|
||||
description="Drive business transformation with measurable impact and enterprise-grade reliability"
|
||||
tag="Business Value"
|
||||
tagIcon="TrendingUp"
|
||||
tagIcon={TrendingUp}
|
||||
tagAnimation="slide-up"
|
||||
features={[
|
||||
{
|
||||
id: "01",
|
||||
title: "Faster Decisions",
|
||||
description: "Real-time data processing and AI insights enable rapid decision-making at every level",
|
||||
imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AsTFBwq6UXPxGqcZsRRkZrUD5D/fast-moving-data-streams-and-metrics-wit-1773382786333-54c2a5e1.png?_wi=2",
|
||||
imageAlt: "Fast data processing visualization",
|
||||
},
|
||||
id: "01", title: "Faster Decisions", description: "Real-time data processing and AI insights enable rapid decision-making at every level", imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AsTFBwq6UXPxGqcZsRRkZrUD5D/fast-moving-data-streams-and-metrics-wit-1773382786333-54c2a5e1.png", imageAlt: "Fast data processing visualization"},
|
||||
{
|
||||
id: "02",
|
||||
title: "Unified Data Visibility",
|
||||
description: "Complete data landscape integration eliminates silos and provides single source of truth",
|
||||
imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AsTFBwq6UXPxGqcZsRRkZrUD5D/multiple-data-sources-converging-into-a--1773382787348-7bbe8ba4.png?_wi=2",
|
||||
imageAlt: "Unified data platform visualization",
|
||||
},
|
||||
id: "02", title: "Unified Data Visibility", description: "Complete data landscape integration eliminates silos and provides single source of truth", imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AsTFBwq6UXPxGqcZsRRkZrUD5D/multiple-data-sources-converging-into-a--1773382787348-7bbe8ba4.png", imageAlt: "Unified data platform visualization"},
|
||||
{
|
||||
id: "03",
|
||||
title: "Predictive AI Insights",
|
||||
description: "Machine learning models anticipate trends, optimize performance, and reduce business risks",
|
||||
imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AsTFBwq6UXPxGqcZsRRkZrUD5D/ai-powered-predictive-analytics-visualiz-1773382786819-f7fec723.png?_wi=2",
|
||||
imageAlt: "AI predictive analytics visualization",
|
||||
},
|
||||
id: "03", title: "Predictive AI Insights", description: "Machine learning models anticipate trends, optimize performance, and reduce business risks", imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AsTFBwq6UXPxGqcZsRRkZrUD5D/ai-powered-predictive-analytics-visualiz-1773382786819-f7fec723.png", imageAlt: "AI predictive analytics visualization"},
|
||||
{
|
||||
id: "04",
|
||||
title: "Enterprise Scalability",
|
||||
description: "Cloud-native architecture scales seamlessly from thousands to billions of data points",
|
||||
imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AsTFBwq6UXPxGqcZsRRkZrUD5D/cloud-infrastructure-scaling-visualizati-1773382787787-27000b5a.png?_wi=2",
|
||||
imageAlt: "Cloud scalability architecture",
|
||||
},
|
||||
id: "04", title: "Enterprise Scalability", description: "Cloud-native architecture scales seamlessly from thousands to billions of data points", imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AsTFBwq6UXPxGqcZsRRkZrUD5D/cloud-infrastructure-scaling-visualizati-1773382787787-27000b5a.png", imageAlt: "Cloud scalability architecture"},
|
||||
]}
|
||||
gridVariant="four-items-2x2-equal-grid"
|
||||
animationType="slide-up"
|
||||
|
||||
@@ -6,6 +6,7 @@ import FeatureCardThree from "@/components/sections/feature/featureCardThree/Fea
|
||||
import TestimonialCardSix from "@/components/sections/testimonial/TestimonialCardSix";
|
||||
import FooterSimple from "@/components/sections/footer/FooterSimple";
|
||||
import Link from "next/link";
|
||||
import { Zap, Award } from "lucide-react";
|
||||
|
||||
export default function WhyDatapmiPage() {
|
||||
const navItems = [
|
||||
@@ -18,40 +19,35 @@ export default function WhyDatapmiPage() {
|
||||
|
||||
const footerColumns = [
|
||||
{
|
||||
title: "Product",
|
||||
items: [
|
||||
{ label: "Data Intelligence Cloud", href: "/" },
|
||||
{ label: "Performance Analytics", href: "/" },
|
||||
{ label: "AI Automation Studio", href: "/" },
|
||||
title: "Product", items: [
|
||||
{ label: "Data Intelligence Cloud", href: "/product" },
|
||||
{ label: "Performance Analytics", href: "/product" },
|
||||
{ label: "AI Automation Studio", href: "/product" },
|
||||
],
|
||||
},
|
||||
{
|
||||
title: "Solutions",
|
||||
items: [
|
||||
title: "Solutions", items: [
|
||||
{ label: "Enterprise Performance", href: "/solutions" },
|
||||
{ label: "Sales Performance", href: "/solutions" },
|
||||
{ label: "Digital Transformation", href: "/solutions" },
|
||||
],
|
||||
},
|
||||
{
|
||||
title: "Company",
|
||||
items: [
|
||||
title: "Company", items: [
|
||||
{ label: "About Us", href: "/" },
|
||||
{ label: "Case Studies", href: "/" },
|
||||
{ label: "Contact", href: "/" },
|
||||
{ label: "Case Studies", href: "/case-studies" },
|
||||
{ label: "Contact", href: "/contact" },
|
||||
],
|
||||
},
|
||||
{
|
||||
title: "Resources",
|
||||
items: [
|
||||
title: "Resources", items: [
|
||||
{ label: "Documentation", href: "#" },
|
||||
{ label: "API Reference", href: "#" },
|
||||
{ label: "Support", href: "#" },
|
||||
],
|
||||
},
|
||||
{
|
||||
title: "Legal",
|
||||
items: [
|
||||
title: "Legal", items: [
|
||||
{ label: "Privacy Policy", href: "#" },
|
||||
{ label: "Terms of Service", href: "#" },
|
||||
{ label: "Cookie Policy", href: "#" },
|
||||
@@ -80,9 +76,7 @@ export default function WhyDatapmiPage() {
|
||||
id: item.id,
|
||||
}))}
|
||||
button={{
|
||||
text: "Book a Demo",
|
||||
href: "/",
|
||||
}}
|
||||
text: "Book a Demo", href: "/contact"}}
|
||||
animateOnLoad={true}
|
||||
/>
|
||||
</div>
|
||||
@@ -92,30 +86,15 @@ export default function WhyDatapmiPage() {
|
||||
title="Platform Differentiators"
|
||||
description="What sets DataPMI apart in enterprise data intelligence"
|
||||
tag="Our Advantage"
|
||||
tagIcon="Zap"
|
||||
tagIcon={Zap}
|
||||
tagAnimation="slide-up"
|
||||
features={[
|
||||
{
|
||||
id: "01",
|
||||
title: "AI-First Architecture",
|
||||
description: "Built from the ground up with machine learning at the core, not bolted on. Intelligent automation from day one.",
|
||||
imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AsTFBwq6UXPxGqcZsRRkZrUD5D/illustration-of-a-cloud-computing-infras-1773382787444-0add34a5.png?_wi=3",
|
||||
imageAlt: "AI architecture cloud infrastructure",
|
||||
},
|
||||
id: "01", title: "AI-First Architecture", description: "Built from the ground up with machine learning at the core, not bolted on. Intelligent automation from day one.", imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AsTFBwq6UXPxGqcZsRRkZrUD5D/illustration-of-a-cloud-computing-infras-1773382787444-0add34a5.png", imageAlt: "AI architecture cloud infrastructure"},
|
||||
{
|
||||
id: "02",
|
||||
title: "Enterprise-Grade Governance",
|
||||
description: "Security, compliance, and data governance built for regulated industries. Trust at scale with complete audit trails.",
|
||||
imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AsTFBwq6UXPxGqcZsRRkZrUD5D/advanced-analytics-visualization-showing-1773382787321-f76249fa.png?_wi=3",
|
||||
imageAlt: "Enterprise governance analytics",
|
||||
},
|
||||
id: "02", title: "Enterprise-Grade Governance", description: "Security, compliance, and data governance built for regulated industries. Trust at scale with complete audit trails.", imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AsTFBwq6UXPxGqcZsRRkZrUD5D/advanced-analytics-visualization-showing-1773382787321-f76249fa.png", imageAlt: "Enterprise governance analytics"},
|
||||
{
|
||||
id: "03",
|
||||
title: "Proven ROI at Speed",
|
||||
description: "Average 6-month payback period. Real-world implementations delivering 40-70% efficiency gains across Fortune 500 clients.",
|
||||
imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AsTFBwq6UXPxGqcZsRRkZrUD5D/no-code-automation-workflow-interface-sh-1773382791802-86f8c50f.png?_wi=3",
|
||||
imageAlt: "Automation workflow interface",
|
||||
},
|
||||
id: "03", title: "Proven ROI at Speed", description: "Average 6-month payback period. Real-world implementations delivering 40-70% efficiency gains across Fortune 500 clients.", imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AsTFBwq6UXPxGqcZsRRkZrUD5D/no-code-automation-workflow-interface-sh-1773382791802-86f8c50f.png", imageAlt: "Automation workflow interface"},
|
||||
]}
|
||||
gridVariant="three-columns-all-equal-width"
|
||||
animationType="slide-up"
|
||||
@@ -126,64 +105,26 @@ export default function WhyDatapmiPage() {
|
||||
|
||||
<div id="testimonials" data-section="testimonials">
|
||||
<TestimonialCardSix
|
||||
title="Trusted by Enterprise Leaders"
|
||||
description="See what industry executives have to say about their DataPMI experience"
|
||||
title="Voices of Our Enterprise Clients"
|
||||
description="See how DataPMI delivers measurable business value across industries"
|
||||
tag="Client Voices"
|
||||
tagIcon="Award"
|
||||
tagIcon={Award}
|
||||
tagAnimation="slide-up"
|
||||
testimonials={[
|
||||
{
|
||||
id: "1",
|
||||
name: "Jennifer Park",
|
||||
handle: "Chief Analytics Officer, Global Banking",
|
||||
testimonial: "DataPMI's platform eliminated manual reporting processes that consumed 200+ hours monthly. We now have real-time dashboards.",
|
||||
imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AsTFBwq6UXPxGqcZsRRkZrUD5D/professional-headshot-of-a-confident-wom-1773382786206-346eac80.png?_wi=2",
|
||||
imageAlt: "Jennifer Park",
|
||||
},
|
||||
id: "1", name: "Jennifer Park", handle: "Chief Analytics Officer, Global Banking", testimonial: "DataPMI's platform eliminated manual reporting processes that consumed 200+ hours monthly. We now have real-time dashboards.", imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AsTFBwq6UXPxGqcZsRRkZrUD5D/professional-headshot-of-a-confident-wom-1773382786206-346eac80.png", imageAlt: "Jennifer Park"},
|
||||
{
|
||||
id: "2",
|
||||
name: "David Morrison",
|
||||
handle: "Director of Operations, Manufacturing Co",
|
||||
testimonial: "The predictive analytics caught production inefficiencies we'd missed for years. ROI achieved in under 6 months.",
|
||||
imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AsTFBwq6UXPxGqcZsRRkZrUD5D/professional-headshot-of-a-confident-man-1773382786167-b662d7a3.png?_wi=2",
|
||||
imageAlt: "David Morrison",
|
||||
},
|
||||
id: "2", name: "David Morrison", handle: "Director of Operations, Manufacturing Co", testimonial: "The predictive analytics caught production inefficiencies we'd missed for years. ROI achieved in under 6 months.", imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AsTFBwq6UXPxGqcZsRRkZrUD5D/professional-headshot-of-a-confident-man-1773382786167-b662d7a3.png", imageAlt: "David Morrison"},
|
||||
{
|
||||
id: "3",
|
||||
name: "Lisa Chen",
|
||||
handle: "VP Data Science, Healthcare Network",
|
||||
testimonial: "Unifying our fragmented data sources gave us insights into patient outcomes we never had before.",
|
||||
imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AsTFBwq6UXPxGqcZsRRkZrUD5D/professional-headshot-of-an-asian-woman--1773382786441-912df02b.png?_wi=2",
|
||||
imageAlt: "Lisa Chen",
|
||||
},
|
||||
id: "3", name: "Lisa Chen", handle: "VP Data Science, Healthcare Network", testimonial: "Unifying our fragmented data sources gave us insights into patient outcomes we never had before.", imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AsTFBwq6UXPxGqcZsRRkZrUD5D/professional-headshot-of-an-asian-woman--1773382786441-912df02b.png", imageAlt: "Lisa Chen"},
|
||||
{
|
||||
id: "4",
|
||||
name: "Marcus Thompson",
|
||||
handle: "Retail Strategy Lead, Fashion Brand",
|
||||
testimonial: "The customer analytics engine increased our inventory optimization accuracy by 40%. Margins improved significantly.",
|
||||
imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AsTFBwq6UXPxGqcZsRRkZrUD5D/professional-headshot-of-a-man-in-retail-1773382786538-1c0824d1.png?_wi=2",
|
||||
imageAlt: "Marcus Thompson",
|
||||
},
|
||||
id: "4", name: "Marcus Thompson", handle: "Retail Strategy Lead, Fashion Brand", testimonial: "The customer analytics engine increased our inventory optimization accuracy by 40%. Margins improved significantly.", imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AsTFBwq6UXPxGqcZsRRkZrUD5D/professional-headshot-of-a-man-in-retail-1773382786538-1c0824d1.png", imageAlt: "Marcus Thompson"},
|
||||
{
|
||||
id: "5",
|
||||
name: "Rachel Goldman",
|
||||
handle: "Principal, Management Consulting Firm",
|
||||
testimonial: "DataPMI's automation capabilities freed our team from data wrangling. We now focus on high-value strategy work.",
|
||||
imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AsTFBwq6UXPxGqcZsRRkZrUD5D/professional-headshot-of-a-woman-in-cons-1773382788533-d883533c.png?_wi=2",
|
||||
imageAlt: "Rachel Goldman",
|
||||
},
|
||||
id: "5", name: "Rachel Goldman", handle: "Principal, Management Consulting Firm", testimonial: "DataPMI's automation capabilities freed our team from data wrangling. We now focus on high-value strategy work.", imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AsTFBwq6UXPxGqcZsRRkZrUD5D/professional-headshot-of-a-woman-in-cons-1773382788533-d883533c.png", imageAlt: "Rachel Goldman"},
|
||||
{
|
||||
id: "6",
|
||||
name: "Thomas Weber",
|
||||
handle: "CFO, Technology Enterprise",
|
||||
testimonial: "Financial reporting accuracy improved to 99.8%. The platform's governance framework simplified compliance significantly.",
|
||||
imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AsTFBwq6UXPxGqcZsRRkZrUD5D/professional-headshot-of-a-man-in-financ-1773382786264-859cf029.png?_wi=2",
|
||||
imageAlt: "Thomas Weber",
|
||||
},
|
||||
id: "6", name: "Thomas Weber", handle: "CFO, Technology Enterprise", testimonial: "Financial reporting accuracy improved to 99.8%. The platform's governance framework simplified compliance significantly.", imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AsTFBwq6UXPxGqcZsRRkZrUD5D/professional-headshot-of-a-man-in-financ-1773382786264-859cf029.png", imageAlt: "Thomas Weber"},
|
||||
]}
|
||||
animationType="slide-up"
|
||||
title="Voices of Our Enterprise Clients"
|
||||
description="See how DataPMI delivers measurable business value across industries"
|
||||
textboxLayout="default"
|
||||
useInvertedBackground={false}
|
||||
speed={40}
|
||||
|
||||
@@ -1,51 +1,33 @@
|
||||
"use client";
|
||||
|
||||
import { memo } from "react";
|
||||
import useSvgTextLogo from "./useSvgTextLogo";
|
||||
import { cls } from "@/lib/utils";
|
||||
import React from "react";
|
||||
|
||||
interface SvgTextLogoProps {
|
||||
logoText: string;
|
||||
adjustHeightFactor?: number;
|
||||
verticalAlign?: "top" | "center";
|
||||
text: string;
|
||||
fontSize?: number;
|
||||
fillColor?: string;
|
||||
className?: string;
|
||||
}
|
||||
|
||||
const SvgTextLogo = memo<SvgTextLogoProps>(function SvgTextLogo({
|
||||
logoText,
|
||||
adjustHeightFactor,
|
||||
verticalAlign = "top",
|
||||
className = "",
|
||||
}) {
|
||||
const { svgRef, textRef, viewBox, aspectRatio } = useSvgTextLogo(logoText, false, adjustHeightFactor);
|
||||
|
||||
const SvgTextLogo: React.FC<SvgTextLogoProps> = ({
|
||||
text,
|
||||
fontSize = 24,
|
||||
fillColor = "currentColor", className = ""}) => {
|
||||
return (
|
||||
<svg
|
||||
ref={svgRef}
|
||||
viewBox={viewBox}
|
||||
className={cls("w-full", className)}
|
||||
style={{ aspectRatio: aspectRatio }}
|
||||
preserveAspectRatio="none"
|
||||
role="img"
|
||||
aria-label={`${logoText} logo`}
|
||||
viewBox={`0 0 ${text.length * fontSize} ${fontSize * 1.5}`}
|
||||
className={className}
|
||||
xmlns="http://www.w3.org/2000/svg"
|
||||
>
|
||||
<text
|
||||
ref={textRef}
|
||||
x="0"
|
||||
y={verticalAlign === "center" ? "50%" : "0"}
|
||||
className="font-bold fill-current"
|
||||
style={{
|
||||
fontSize: "20px",
|
||||
letterSpacing: "-0.02em",
|
||||
dominantBaseline: verticalAlign === "center" ? "middle" : "text-before-edge"
|
||||
}}
|
||||
x={0}
|
||||
y={fontSize}
|
||||
fontSize={fontSize}
|
||||
fill={fillColor}
|
||||
dominantBaseline="middle"
|
||||
>
|
||||
{logoText}
|
||||
{text}
|
||||
</text>
|
||||
</svg>
|
||||
);
|
||||
});
|
||||
|
||||
SvgTextLogo.displayName = "SvgTextLogo";
|
||||
};
|
||||
|
||||
export default SvgTextLogo;
|
||||
|
||||
Reference in New Issue
Block a user