A Europe-based e-commerce enterprise specializing in high-volume eyecare transactions faced growing complexity in managing diverse database platforms (SQL Server, Oracle, Azure SQL) across on-prem and cloud. Manual DBA processes led to delays, increased downtime risk, and lacked automation, governance, and consistent security—impacting performance, compliance, and operational efficiency.
A global automotive fleet leasing and management company faced slow and error-prone customer onboarding due to manual processes and dependence on multiple legacy systems. This resulted in fulfillment delays, increased operational costs, and decreased customer satisfaction.
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A global pharmaceutical leader in animal and veterinary health faced major data challenges due to over 15 disparate systems (ERP, CRM, Sales, Inventory, R&D). Manual data preparation caused 3–5 day delays in reporting, lacked real-time KPI visibility, and offered no self-service capabilities for business users due to static, siloed reports. This severely limited strategic agility and operational efficiency.
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A global U.S.-based automotive company faced growing operational challenges due to aging on-premises infrastructure, high operational costs, fragmented monitoring tools, and lack of governance after adopting Azure. Their hybrid IT environment also struggled with limited scalability, agility, and security compliance gaps.
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After a strategic merger in 2018, a global healthcare and vision care leader faced major hurdles: fragmented internal systems blocked real-time data flow, the B2B e-commerce platform couldn’t scale with rising demand, and supply chain disruptions exposed the limitations of their legacy infrastructure.
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A leading global e-commerce platform faced critical issues with sluggish website performance, outdated front-end frameworks, and inefficient development workflows. These challenges resulted in poor SEO rankings, high bounce rates, low user retention, and slow development cycles.
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A UK-based education services provider offering undergraduate, postgraduate, and online programs faced challenges in student recruitment due to fragmented data across CRMs, websites, social media, and enrollment systems. Marketing and admissions teams lacked real-time visibility, struggled with manual reporting, and were unable to track the complete student journey—leading to inefficient targeting and missed enrollment opportunities.
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A U.S. healthcare organization with over 45,000 physicians faced critical inefficiencies due to legacy systems. Claims data access was manual and slow, external user authentication lacked scalability, and inadequate access controls posed compliance risks.
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A global leader in automotive fleet leasing faced outdated testing practices, manual-intensive processes, and fragmented automation tools. The complexity of their business operations and reliance on legacy technologies made adopting a modern automation framework difficult, leading to delayed project delivery and suboptimal product quality.
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A global fleet leasing and management leader struggled to derive actionable insights from their telematics platform. While data was being collected, the lack of real-time processing limited fleet visibility, delayed responses to operational issues, and hindered data-driven decision-making.
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A Europe-based e-commerce enterprise specializing in high-volume eyecare transactions faced growing complexity in managing diverse database platforms (SQL Server, Oracle, Azure SQL) across on-prem and cloud. Manual DBA processes led to delays, increased downtime risk, and lacked automation, governance, and consistent security—impacting performance, compliance, and operational efficiency.
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