Data Transformation
Build and manage a secure, governed, scalable data foundation with end-to-end data services and managed support.
Modernize your data foundations to unlock competitive advantage
Data is the backbone of any AI or analytics initiative. Without the right data infrastructure, even the most advanced technology fails to deliver. We help organizations build scalable, trusted, and governed data environments that support both operational and analytical needs.

Data architecture & engineering – Design and implement scalable data architectures that support reliable analytics, reporting, and AI use cases
Data lakes, warehouses, and pipelines – Build modern data platforms and pipelines that enable efficient storage, processing, and access to large volumes of data
System integration (ACE, ADF, Informatica, Synapse) – Integrate enterprise systems and data sources to ensure seamless data flow and real-time accessibility across platforms
Data quality & cleansing – Improve data accuracy, consistency, and completeness to ensure trusted inputs for reporting and AI models
Reporting & visualization (Power BI) – Deliver intuitive dashboards and reports that provide clear, actionable insights for business and operational teams
Managed data services – Provide ongoing support and optimization to ensure data platforms remain reliable, performant, and aligned with evolving business needs
Data governance & security – Establish frameworks, controls, and policies to protect data, ensure compliance, and maintain long-term data integrity
Strategy
Define the right data architecture and governance model for your organization.
Data Maturity Assessment
Evaluate your current data landscape, identify gaps, and build a prioritized roadmap for improving data quality, access, and governance.
Data Architecture Design
Design a future-state data architecture — cloud, on-premise, or hybrid — that scales with your business and supports analytics and AI.
Data Governance Framework
Establish the policies, roles, and processes needed to manage data as a trusted, compliant, and strategic business asset.
Delivery
Implement modern data infrastructure and migration programs.
Cloud Data Migration
Migrate legacy data warehouses and on-premise systems to cloud platforms such as Azure, AWS, or Google Cloud with minimal disruption.
Data Integration & Pipelines
Build reliable data pipelines that connect and harmonize data across systems, eliminating silos and enabling unified analytics.
Data Quality Implementation
Deploy automated data quality checks, cleansing routines, and monitoring to ensure your data remains accurate and fit for purpose.
Operate
Sustain and continuously improve your data environment over time.
Data Platform Management
Ongoing management and optimization of your data platform to ensure performance, reliability, and cost efficiency at scale.
Data Catalogue & Lineage
Maintain a governed data catalogue with full lineage tracking so teams can discover, understand, and trust the data they use.
Compliance & Reporting
Ensure ongoing compliance with data regulations through automated reporting, audit trails, and continuous governance monitoring.
TRUSTED BY LEADING OPERATORS. ALIGNED WITH LEADING PLATFORMS AND NUCLEAR INDUSTRY PARTNERS


















Related Case Studies

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AI & Analytics . Digital Strategy & Advisory . Data Transformation
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Meet Our Team
XCIS AI is a team of experienced AI consultants, data engineers, and domain specialists with deep expertise in nuclear, energy, and critical infrastructure.

Adam Gustin
Full Stack Developer

Anurag Pedditi
Data Integration Lead

Arvind Pandey
Integration Specialist

Charissa Wong
Data Engineer

Chidera Bisong
PowerBI Admin

Hamza Ali
Full Stack Developer

Manuel Ting
Principal Data Consultant

Matthew Fung
Data Engineer

Oomer Syed
Data Engineer
