Merge version_1 into main #1
@@ -116,19 +116,19 @@ export default function AboutPage() {
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id: "01",
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title: "Trusted Innovation",
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description: "We combine cutting-edge AI technology with enterprise-grade reliability to deliver intelligent solutions you can depend on",
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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",
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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=3",
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},
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{
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id: "02",
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title: "Customer-Centric Design",
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description: "Every feature is built with our customers in mind, addressing real business challenges and delivering measurable ROI",
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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",
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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=3",
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},
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{
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id: "03",
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title: "Enterprise Excellence",
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description: "Built for scale, security, and compliance. Our platform supports the world's most demanding enterprises with confidence",
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imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AsTFBwq6UXPxGqcZsRRkZrUD5D/cloud-infrastructure-scaling-visualizati-1773382787787-27000b5a.png",
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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=3",
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},
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]}
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title="Our Core Values"
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@@ -151,7 +151,7 @@ export default function AboutPage() {
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name: "Jennifer Park",
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handle: "Chief Analytics Officer, Global Banking",
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testimonial: "DataPMI's platform eliminated manual reporting processes that consumed 200+ hours monthly. We now have real-time dashboards and faster insights.",
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imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AsTFBwq6UXPxGqcZsRRkZrUD5D/professional-headshot-of-a-confident-wom-1773382786206-346eac80.png",
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imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AsTFBwq6UXPxGqcZsRRkZrUD5D/professional-headshot-of-a-confident-wom-1773382786206-346eac80.png?_wi=3",
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imageAlt: "Professional headshot of Jennifer Park",
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},
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{
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@@ -159,7 +159,7 @@ export default function AboutPage() {
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name: "David Morrison",
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handle: "Director of Operations, Manufacturing Co",
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testimonial: "The predictive analytics caught production inefficiencies we'd missed for years. ROI was achieved in under 6 months.",
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imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AsTFBwq6UXPxGqcZsRRkZrUD5D/professional-headshot-of-a-confident-man-1773382786167-b662d7a3.png",
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imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AsTFBwq6UXPxGqcZsRRkZrUD5D/professional-headshot-of-a-confident-man-1773382786167-b662d7a3.png?_wi=3",
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imageAlt: "Professional headshot of David Morrison",
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},
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{
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@@ -167,7 +167,7 @@ export default function AboutPage() {
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name: "Lisa Chen",
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handle: "VP Data Science, Healthcare Network",
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testimonial: "Unifying our fragmented data sources gave us insights into patient outcomes we never had access to before. Game-changing for clinical decisions.",
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imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AsTFBwq6UXPxGqcZsRRkZrUD5D/professional-headshot-of-an-asian-woman--1773382786441-912df02b.png",
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imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AsTFBwq6UXPxGqcZsRRkZrUD5D/professional-headshot-of-an-asian-woman--1773382786441-912df02b.png?_wi=3",
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imageAlt: "Professional headshot of Lisa Chen",
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},
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{
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@@ -175,7 +175,7 @@ export default function AboutPage() {
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name: "Marcus Thompson",
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handle: "Retail Strategy Lead, Fashion Brand",
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testimonial: "The customer analytics engine increased our inventory optimization accuracy by 40%. Margins improved significantly.",
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imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AsTFBwq6UXPxGqcZsRRkZrUD5D/professional-headshot-of-a-man-in-retail-1773382786538-1c0824d1.png",
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imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AsTFBwq6UXPxGqcZsRRkZrUD5D/professional-headshot-of-a-man-in-retail-1773382786538-1c0824d1.png?_wi=3",
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imageAlt: "Professional headshot of Marcus Thompson",
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},
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{
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@@ -183,7 +183,7 @@ export default function AboutPage() {
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name: "Rachel Goldman",
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handle: "Principal, Management Consulting Firm",
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testimonial: "DataPMI's automation capabilities freed our team from data wrangling. We now focus on high-value strategy work.",
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imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AsTFBwq6UXPxGqcZsRRkZrUD5D/professional-headshot-of-a-woman-in-cons-1773382788533-d883533c.png",
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imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AsTFBwq6UXPxGqcZsRRkZrUD5D/professional-headshot-of-a-woman-in-cons-1773382788533-d883533c.png?_wi=3",
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imageAlt: "Professional headshot of Rachel Goldman",
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},
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{
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@@ -191,7 +191,7 @@ export default function AboutPage() {
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name: "Thomas Weber",
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handle: "CFO, Technology Enterprise",
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testimonial: "Financial reporting accuracy improved 99.8%. The platform's governance framework simplified compliance significantly.",
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imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AsTFBwq6UXPxGqcZsRRkZrUD5D/professional-headshot-of-a-man-in-financ-1773382786264-859cf029.png",
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imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AsTFBwq6UXPxGqcZsRRkZrUD5D/professional-headshot-of-a-man-in-financ-1773382786264-859cf029.png?_wi=3",
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imageAlt: "Professional headshot of Thomas Weber",
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},
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]}
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@@ -97,7 +97,7 @@ export default function CaseStudiesPage() {
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category: ["Banking", "Analytics"],
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title: "Global Bank Achieves 70% Faster Analytics",
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excerpt: "How a leading financial institution unified disparate data sources and cut reporting time from weeks to hours with DataPMI",
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imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AsTFBwq6UXPxGqcZsRRkZrUD5D/modern-banking-data-center-and-analytics-1773382787714-aed169c5.png",
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imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AsTFBwq6UXPxGqcZsRRkZrUD5D/modern-banking-data-center-and-analytics-1773382787714-aed169c5.png?_wi=2",
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imageAlt: "Modern banking data center and analytics visualization showing financial data streams, global transactions, and banking analytics dashboard",
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authorName: "DataPMI Team",
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authorAvatar: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AsTFBwq6UXPxGqcZsRRkZrUD5D/professional-company-branding-image-or-t-1773382786704-425ad940.png",
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@@ -108,7 +108,7 @@ export default function CaseStudiesPage() {
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category: ["Manufacturing", "Optimization"],
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title: "Manufacturer Reduces Production Costs by 25%",
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excerpt: "Predictive analytics and real-time monitoring identified inefficiencies, resulting in significant operational savings and improved margins",
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imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AsTFBwq6UXPxGqcZsRRkZrUD5D/advanced-manufacturing-facility-with-iot-1773382786943-b9c8e77b.png",
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imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AsTFBwq6UXPxGqcZsRRkZrUD5D/advanced-manufacturing-facility-with-iot-1773382786943-b9c8e77b.png?_wi=2",
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imageAlt: "Advanced manufacturing facility with IoT sensors, real-time production monitoring, efficiency optimization dashboards, and predictive maintenance analytics",
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authorName: "DataPMI Team",
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authorAvatar: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AsTFBwq6UXPxGqcZsRRkZrUD5D/professional-company-branding-image-or-t-1773382786704-425ad940.png",
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@@ -119,7 +119,7 @@ export default function CaseStudiesPage() {
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category: ["Healthcare", "Patient Data"],
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title: "Healthcare Network Improves Patient Outcomes by 35%",
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excerpt: "Integrated patient data analytics enabled clinical teams to identify patterns and optimize treatment protocols across 12 facilities",
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imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AsTFBwq6UXPxGqcZsRRkZrUD5D/modern-healthcare-facility-with-patient--1773382786483-3fb1db48.png",
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imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AsTFBwq6UXPxGqcZsRRkZrUD5D/modern-healthcare-facility-with-patient--1773382786483-3fb1db48.png?_wi=2",
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imageAlt: "Modern healthcare facility with patient data analytics, clinical decision support systems, and integrated health records visualization",
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authorName: "DataPMI Team",
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authorAvatar: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AsTFBwq6UXPxGqcZsRRkZrUD5D/professional-company-branding-image-or-t-1773382786704-425ad940.png",
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@@ -130,7 +130,7 @@ export default function CaseStudiesPage() {
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category: ["Retail", "Customer Analytics"],
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title: "Retail Chain Increases Revenue by 32%",
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excerpt: "Advanced customer analytics enabled personalized marketing campaigns and inventory optimization across 500+ retail locations",
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imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AsTFBwq6UXPxGqcZsRRkZrUD5D/retail-analytics-dashboard-showing-custo-1773382791131-19b3231e.png",
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||||
imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AsTFBwq6UXPxGqcZsRRkZrUD5D/retail-analytics-dashboard-showing-custo-1773382791131-19b3231e.png?_wi=3",
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||||
imageAlt: "Retail analytics dashboard showing customer behavior, sales performance, inventory optimization, and e-commerce metrics",
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authorName: "DataPMI Team",
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||||
authorAvatar: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AsTFBwq6UXPxGqcZsRRkZrUD5D/professional-company-branding-image-or-t-1773382786704-425ad940.png",
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@@ -1,28 +1,63 @@
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import type { Metadata } from "next";
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import { Halant } from "next/font/google";
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import { Inter } from "next/font/google";
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import { Libre_Baskerville } from "next/font/google";
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import "./globals.css";
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import { ServiceWrapper } from "@/components/ServiceWrapper";
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import Tag from "@/tag/Tag";
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import { getVisualEditScript } from "@/utils/visual-edit-script";
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import { Libre_Baskerville } from "next/font/google";
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const halant = Halant({
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variable: "--font-halant",
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subsets: ["latin"],
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weight: ["300", "400", "500", "600", "700"],
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});
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||||
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||||
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export const metadata: Metadata = {
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||||
title: "Webild components 2",
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||||
description: "Generated by create next app",
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||||
};
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||||
const inter = Inter({
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||||
variable: "--font-inter",
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||||
subsets: ["latin"],
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||||
});
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||||
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||||
const libreBaskerville = Libre_Baskerville({
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||||
variable: "--font-libre-baskerville",
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||||
subsets: ["latin"],
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||||
weight: ["400", "700"],
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||||
});
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||||
const inter = Inter({
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||||
variable: "--font-inter",
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||||
subsets: ["latin"],
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||||
});
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export const metadata: Metadata = {
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title: "DataPMI - AI-Powered Data Intelligence Platform",
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description: "Enterprise AI platform for data intelligence. Unify data, generate insights, and optimize performance with predictive analytics and automation.",
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keywords: "AI data intelligence, enterprise analytics platform, business intelligence, data analytics, predictive insights, data integration",
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metadataBase: new URL("https://datapmi.com"),
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alternates: {
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canonical: "https://datapmi.com",
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},
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openGraph: {
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title: "DataPMI - AI-Powered Data Intelligence Platform",
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description: "Transform your business with enterprise-grade AI-powered data intelligence. Unify data, generate insights, optimize performance.",
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url: "https://datapmi.com",
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siteName: "DataPMI",
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||||
type: "website",
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||||
images: [
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||||
{
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||||
url: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AsTFBwq6UXPxGqcZsRRkZrUD5D/a-sleek-modern-ai-powered-data-analytics-1773382786835-edbe9d81.png",
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||||
alt: "DataPMI AI Platform Dashboard",
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||||
},
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||||
],
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||||
},
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||||
twitter: {
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||||
card: "summary_large_image",
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||||
title: "DataPMI - AI-Powered Data Intelligence Platform",
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||||
description: "Enterprise AI platform for data intelligence. Unify, analyze, and optimize with predictive insights.",
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||||
images: [
|
||||
"https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AsTFBwq6UXPxGqcZsRRkZrUD5D/a-sleek-modern-ai-powered-data-analytics-1773382786835-edbe9d81.png",
|
||||
],
|
||||
},
|
||||
robots: {
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||||
index: true,
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||||
follow: true,
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||||
},
|
||||
};
|
||||
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||||
export default function RootLayout({
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||||
children,
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@@ -32,7 +67,9 @@ export default function RootLayout({
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||||
return (
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||||
<html lang="en" suppressHydrationWarning>
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||||
<ServiceWrapper>
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||||
<body className={`${libreBaskerville.variable} ${inter.variable} antialiased`}>
|
||||
<body
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||||
className={`${halant.variable} ${inter.variable} ${libreBaskerville.variable} antialiased`}
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||||
>
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||||
<Tag />
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{children}
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||||
<script
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@@ -44,4 +81,4 @@ export default function RootLayout({
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||||
</ServiceWrapper>
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||||
</html>
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);
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||||
}
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||||
}
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||||
@@ -108,7 +108,7 @@ export default function HomePage() {
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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",
|
||||
imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AsTFBwq6UXPxGqcZsRRkZrUD5D/illustration-of-a-cloud-computing-infras-1773382787444-0add34a5.png?_wi=1",
|
||||
imageAlt: "Data Intelligence Cloud",
|
||||
},
|
||||
{
|
||||
@@ -116,7 +116,7 @@ export default function HomePage() {
|
||||
title: "Performance Analytics Suite",
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||||
description:
|
||||
"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",
|
||||
imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AsTFBwq6UXPxGqcZsRRkZrUD5D/advanced-analytics-visualization-showing-1773382787321-f76249fa.png?_wi=1",
|
||||
imageAlt: "Performance Analytics Suite",
|
||||
},
|
||||
{
|
||||
@@ -124,7 +124,7 @@ export default function HomePage() {
|
||||
title: "AI Automation Studio",
|
||||
description:
|
||||
"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",
|
||||
imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AsTFBwq6UXPxGqcZsRRkZrUD5D/no-code-automation-workflow-interface-sh-1773382791802-86f8c50f.png?_wi=1",
|
||||
imageAlt: "AI Automation Studio",
|
||||
},
|
||||
]}
|
||||
@@ -151,7 +151,7 @@ export default function HomePage() {
|
||||
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",
|
||||
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",
|
||||
imageAlt: "Faster Decisions",
|
||||
},
|
||||
{
|
||||
@@ -159,7 +159,7 @@ export default function HomePage() {
|
||||
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",
|
||||
imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AsTFBwq6UXPxGqcZsRRkZrUD5D/multiple-data-sources-converging-into-a--1773382787348-7bbe8ba4.png?_wi=1",
|
||||
imageAlt: "Unified Data Visibility",
|
||||
},
|
||||
{
|
||||
@@ -167,7 +167,7 @@ export default function HomePage() {
|
||||
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",
|
||||
imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AsTFBwq6UXPxGqcZsRRkZrUD5D/ai-powered-predictive-analytics-visualiz-1773382786819-f7fec723.png?_wi=1",
|
||||
imageAlt: "Predictive AI Insights",
|
||||
},
|
||||
{
|
||||
@@ -175,7 +175,7 @@ export default function HomePage() {
|
||||
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",
|
||||
imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AsTFBwq6UXPxGqcZsRRkZrUD5D/cloud-infrastructure-scaling-visualizati-1773382787787-27000b5a.png?_wi=1",
|
||||
imageAlt: "Enterprise Scalability",
|
||||
},
|
||||
]}
|
||||
@@ -202,7 +202,7 @@ export default function HomePage() {
|
||||
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",
|
||||
imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AsTFBwq6UXPxGqcZsRRkZrUD5D/modern-financial-services-dashboard-show-1773382787270-4dfc8753.png?_wi=1",
|
||||
imageAlt: "Financial Services Analytics",
|
||||
},
|
||||
{
|
||||
@@ -212,7 +212,7 @@ export default function HomePage() {
|
||||
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",
|
||||
imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AsTFBwq6UXPxGqcZsRRkZrUD5D/manufacturing-production-floor-analytics-1773382787815-83031a93.png?_wi=1",
|
||||
imageAlt: "Manufacturing Analytics",
|
||||
},
|
||||
{
|
||||
@@ -222,7 +222,7 @@ export default function HomePage() {
|
||||
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",
|
||||
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",
|
||||
},
|
||||
{
|
||||
@@ -232,7 +232,7 @@ export default function HomePage() {
|
||||
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",
|
||||
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",
|
||||
},
|
||||
{
|
||||
@@ -242,7 +242,7 @@ export default function HomePage() {
|
||||
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",
|
||||
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",
|
||||
},
|
||||
]}
|
||||
@@ -271,7 +271,7 @@ export default function HomePage() {
|
||||
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",
|
||||
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",
|
||||
},
|
||||
{
|
||||
@@ -280,7 +280,7 @@ export default function HomePage() {
|
||||
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",
|
||||
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",
|
||||
},
|
||||
{
|
||||
@@ -289,7 +289,7 @@ export default function HomePage() {
|
||||
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",
|
||||
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",
|
||||
},
|
||||
{
|
||||
@@ -298,7 +298,7 @@ export default function HomePage() {
|
||||
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",
|
||||
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",
|
||||
},
|
||||
{
|
||||
@@ -307,7 +307,7 @@ export default function HomePage() {
|
||||
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",
|
||||
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",
|
||||
},
|
||||
{
|
||||
@@ -316,7 +316,7 @@ export default function HomePage() {
|
||||
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",
|
||||
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",
|
||||
},
|
||||
]}
|
||||
@@ -343,7 +343,7 @@ export default function HomePage() {
|
||||
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",
|
||||
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",
|
||||
@@ -355,7 +355,7 @@ export default function HomePage() {
|
||||
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",
|
||||
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",
|
||||
@@ -367,7 +367,7 @@ export default function HomePage() {
|
||||
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",
|
||||
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",
|
||||
|
||||
@@ -52,7 +52,7 @@ export default function ProductPage() {
|
||||
title: "Data Intelligence Cloud",
|
||||
description:
|
||||
"Unified cloud platform for data integration, governance, and real-time analytics across enterprise sources. Supports multi-cloud deployment with enterprise-grade security and compliance.",
|
||||
imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AsTFBwq6UXPxGqcZsRRkZrUD5D/illustration-of-a-cloud-computing-infras-1773382787444-0add34a5.png",
|
||||
imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AsTFBwq6UXPxGqcZsRRkZrUD5D/illustration-of-a-cloud-computing-infras-1773382787444-0add34a5.png?_wi=2",
|
||||
imageAlt: "Data Intelligence Cloud",
|
||||
},
|
||||
{
|
||||
@@ -60,7 +60,7 @@ export default function ProductPage() {
|
||||
title: "Performance Analytics Suite",
|
||||
description:
|
||||
"Advanced analytics engine with AI-driven insights, predictive models, and custom dashboards for operational excellence. Real-time performance monitoring with automated anomaly detection.",
|
||||
imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AsTFBwq6UXPxGqcZsRRkZrUD5D/advanced-analytics-visualization-showing-1773382787321-f76249fa.png",
|
||||
imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AsTFBwq6UXPxGqcZsRRkZrUD5D/advanced-analytics-visualization-showing-1773382787321-f76249fa.png?_wi=2",
|
||||
imageAlt: "Performance Analytics Suite",
|
||||
},
|
||||
{
|
||||
@@ -68,7 +68,7 @@ export default function ProductPage() {
|
||||
title: "AI Automation Studio",
|
||||
description:
|
||||
"No-code automation platform for intelligent workflows, RPA processes, and data-driven decision orchestration. Build complex automation without coding expertise.",
|
||||
imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AsTFBwq6UXPxGqcZsRRkZrUD5D/no-code-automation-workflow-interface-sh-1773382791802-86f8c50f.png",
|
||||
imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AsTFBwq6UXPxGqcZsRRkZrUD5D/no-code-automation-workflow-interface-sh-1773382791802-86f8c50f.png?_wi=2",
|
||||
imageAlt: "AI Automation Studio",
|
||||
},
|
||||
]}
|
||||
@@ -99,7 +99,7 @@ export default function ProductPage() {
|
||||
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",
|
||||
imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AsTFBwq6UXPxGqcZsRRkZrUD5D/modern-financial-services-dashboard-show-1773382787270-4dfc8753.png?_wi=2",
|
||||
imageAlt: "Banking Intelligence Platform",
|
||||
},
|
||||
{
|
||||
@@ -109,7 +109,7 @@ export default function ProductPage() {
|
||||
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",
|
||||
imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AsTFBwq6UXPxGqcZsRRkZrUD5D/manufacturing-production-floor-analytics-1773382787815-83031a93.png?_wi=2",
|
||||
imageAlt: "Production Optimization",
|
||||
},
|
||||
{
|
||||
@@ -119,7 +119,7 @@ export default function ProductPage() {
|
||||
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",
|
||||
imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AsTFBwq6UXPxGqcZsRRkZrUD5D/healthcare-analytics-showing-patient-dat-1773382787639-d591a1cd.png?_wi=2",
|
||||
imageAlt: "Patient Analytics",
|
||||
},
|
||||
]}
|
||||
|
||||
@@ -102,7 +102,7 @@ export default function SolutionsPage() {
|
||||
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",
|
||||
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",
|
||||
},
|
||||
{
|
||||
@@ -112,7 +112,7 @@ export default function SolutionsPage() {
|
||||
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",
|
||||
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",
|
||||
},
|
||||
{
|
||||
@@ -122,7 +122,7 @@ export default function SolutionsPage() {
|
||||
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",
|
||||
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",
|
||||
},
|
||||
{
|
||||
@@ -132,7 +132,7 @@ export default function SolutionsPage() {
|
||||
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",
|
||||
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",
|
||||
},
|
||||
{
|
||||
@@ -142,7 +142,7 @@ export default function SolutionsPage() {
|
||||
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",
|
||||
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",
|
||||
},
|
||||
]}
|
||||
@@ -173,28 +173,28 @@ export default function SolutionsPage() {
|
||||
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",
|
||||
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: "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",
|
||||
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: "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",
|
||||
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: "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",
|
||||
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",
|
||||
},
|
||||
]}
|
||||
|
||||
@@ -99,21 +99,21 @@ export default function WhyDatapmiPage() {
|
||||
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",
|
||||
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: "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",
|
||||
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: "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",
|
||||
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",
|
||||
},
|
||||
]}
|
||||
@@ -137,7 +137,7 @@ export default function WhyDatapmiPage() {
|
||||
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",
|
||||
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",
|
||||
},
|
||||
{
|
||||
@@ -145,7 +145,7 @@ export default function WhyDatapmiPage() {
|
||||
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",
|
||||
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",
|
||||
},
|
||||
{
|
||||
@@ -153,7 +153,7 @@ export default function WhyDatapmiPage() {
|
||||
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",
|
||||
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",
|
||||
},
|
||||
{
|
||||
@@ -161,7 +161,7 @@ export default function WhyDatapmiPage() {
|
||||
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",
|
||||
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",
|
||||
},
|
||||
{
|
||||
@@ -169,7 +169,7 @@ export default function WhyDatapmiPage() {
|
||||
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",
|
||||
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",
|
||||
},
|
||||
{
|
||||
@@ -177,7 +177,7 @@ export default function WhyDatapmiPage() {
|
||||
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",
|
||||
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",
|
||||
},
|
||||
]}
|
||||
|
||||
Reference in New Issue
Block a user