Data, cloud & automation
XCentium helps organizations modernize infrastructure, connect platforms, operationalize data, and improve delivery efficiency across cloud, integration, analytics, automation, and enterprise systems.
How we drive results with data, cloud, and automation
Organizations struggle when infrastructure, data, integrations, and operational workflows become fragmented across systems and teams. Legacy environments, disconnected data, inefficient delivery processes, and limited operational visibility can slow innovation and increase operational overhead.
XCentium helps organizations modernize cloud environments, connect systems, operationalize data, and improve automation across the enterprise. We bring together cloud architecture, integrations, analytics, DevOps, automation, and AI-enabled workflows to help organizations improve scalability, operational efficiency, and decision-making.
Our teams combine cloud modernization, systems integration, data operations, analytics, workflow automation, and platform engineering to help organizations create more connected, scalable, and efficient technology ecosystems.
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Common challenges we help solve
Legacy infrastructure and technical debt
Disconnected systems and data silos
Limited visibility into operational and business data
Manual operational and delivery workflows
Inefficient integrations between platforms
Difficulty scaling cloud environments
Slow deployment and release cycles
Governance, reliability, and operational complexity challenges
Data, cloud & automation capabilities
Our data, cloud, and automation capabilities connect infrastructure, systems, workflows, and operational data into one scalable ecosystem. XCentium helps organizations implement, operationalize, and optimize these capabilities across the enterprise.
Data architecture & integration
Improve how data is structured, governed, accessed, and operationalized across the business. We help organizations create cleaner, more usable data foundations that support analytics, reporting, automation, and AI initiatives.
Data platforms & analytics
Turn operational and business data into actionable insights. We help organizations implement analytics frameworks, dashboards, reporting workflows, and operational visibility strategies that support better decisions.
Cloud architecture & modernization
Modernize infrastructure and applications across cloud environments to improve scalability, flexibility, reliability, and operational efficiency. We help organizations transition from legacy architectures to more modern cloud-based ecosystems.
DevOps & delivery automation
Improve deployment reliability, operational scalability, and delivery speed through DevOps practices, CI/CD pipelines, infrastructure automation, and platform engineering workflows.
System integration & iPaaS
Connect enterprise platforms, operational systems, customer data, and workflows across the organization. We implement integrations that improve visibility, reduce silos, and support more connected operations.
Workflow & process automation
Automate repetitive processes and workflows across enterprise systems to improve efficiency, consistency, and scalability. We help organizations implement automation that connects systems, data, and operational workflows.
Managed operations & reliability
Support cloud environments, integrations, data operations, and enterprise platforms through governance, monitoring, optimization, and managed operational services.
Platform & technology expertise
Case Study
Alberta Gaming, Liquor, and Cannabis
Modernizing B2B commerce with Sitecore XM Cloud and OrderCloud for faster ordering
Wholesale commerce
Modernized AGLC’s B2B ordering platform with Sitecore XM Cloud and OrderCloud to support faster, more reliable retailer experiences.
Self-service operations
Expanded the Admin Portal to simplify back-office workflows and reduce reliance on manual support.
System integration
Connected commerce workflows with pricing, inventory, fulfillment, payments, orders, returns, and transactional email systems.
Cloud performance
Built the storefront and Admin Portal with Next.js on Vercel to improve speed, deployment, and delivery.
Related assessments
Cloud modernization assessment
Improve scalability, performance, and operational efficiency across your cloud environment and infrastructure.
Data readiness assessment
Evaluate the quality, structure, and accessibility of your data to support analytics and AI initiatives.
Analytics implementation assessment
Improve visibility, reporting, and decision-making through a stronger analytics and measurement foundation.
Managed services review
Evaluate your support model, operational workflows, and governance approach to improve stability and scalability.
Frequently Asked Questions
Data, cloud, and automation includes cloud architecture and modernization, data architecture and integration, data platforms and analytics, systems integration, DevOps, workflow and process automation, governance, and ongoing operational support. XCentium brings these capabilities together to create more connected, scalable, and efficient technology environments.
XCentium works with leading platforms and technologies including Microsoft Azure, Amazon Web Services (AWS), Microsoft Fabric, Databricks, Power BI, MuleSoft, and UiPath. Our teams help organizations design, implement, integrate, and optimize these technologies across cloud, data, analytics, integration, and automation environments.
Yes. XCentium works with Microsoft Azure and Amazon Web Services (AWS) to help organizations design and modernize cloud environments, integrate applications and data, improve scalability and reliability, and support cloud-based data, analytics, automation, and AI workloads.
Yes. XCentium works with Microsoft Fabric, Databricks, and Power BI to help organizations integrate, manage, analyze, and operationalize enterprise data. Our teams help design and implement data environments that support data engineering, analytics, reporting, automation, and AI initiatives.
Microsoft Fabric is an end-to-end data and analytics platform that brings together data integration, engineering, warehousing, analytics, and reporting. Databricks is a data and AI platform for data engineering, analytics, machine learning, and AI workloads. Power BI focuses on business intelligence, reporting, and visualization and is also a core workload within Microsoft Fabric. XCentium helps organizations determine where these technologies fit within their data architecture and how they can work together.
Yes. XCentium has experience using MuleSoft to connect applications, data, APIs, and enterprise systems. We help organizations improve integration across cloud and enterprise environments, reduce system and data silos, and create more connected workflows and technology ecosystems.
Yes. XCentium has experience with UiPath to automate repetitive processes and workflows across enterprise systems. We help organizations identify automation opportunities and implement solutions that connect systems, data, and operational workflows to improve efficiency, consistency, and scalability.
Yes. XCentium helps organizations improve data quality, structure, integration, governance, and accessibility so enterprise data can more effectively support AI, analytics, automation, and machine learning initiatives. We help identify data gaps, connect sources, and establish stronger data foundations for AI adoption.
Yes. XCentium implements DevOps practices, CI/CD pipelines, infrastructure automation, and platform engineering capabilities to improve deployment reliability, operational scalability, and delivery efficiency across cloud and enterprise environments.
Yes. XCentium provides monitoring, governance, optimization, operational support, and managed services across cloud, data, integration, analytics, and automation environments. We help organizations maintain reliability, scalability, security, performance, and operational efficiency as their technology ecosystems evolve.
Modern operations depend on connected systems, reliable infrastructure, and usable data. XCentium helps organizations reduce operational complexity, improve scalability, and create environments that are easier to manage, optimize, and evolve over time.
Surya Challa
Vice President
Data and Cloud Services
