AI is redefining how enterprises design and execute their data management strategy. We leverage AI to enhance data quality, integrate intelligent automation into workflows, and ensure governance to extract maximum business value from data.
Our offerings for data and AI strategy
Data Roadmap
Embed D&A and AI into business strategy and connect data to business value with our data strategy framework and a roadmap to data monetization.
Data Platforms
Build a resilient and scalable data mesh architecture that leverages new technologies and increases business agility, enabling effective data democratization.
AI-Data Readiness
Assess the readiness of data to prioritize complex AI use cases, expedite ML model deployment, and ensure seamless integration of enterprise data analytics solutions for enhanced insights.
Data Governance Strategy
Define policies, standards, ownership models, and controls to ensure secure, compliant, high quality data across the enterprise, enabling trusted analytics and AI at scale.
Accelerators to power Enterprise Data Strategy
Purpose-built accelerators that strengthen enterprise data strategy by establishing trusted data foundations, streamlining data integration, and enabling advanced analytics.
Why choose Sigmoid?
Expertise in building data foundations for AI at scale
Amplify business value by modernizing your data foundation with scalable data architectures and Data Mesh built for enterprise AI.
Deep partnership with hyperscalers and cloud data platforms
In collaboration with hyperscalers and cloud platforms, Sigmoid enables modernization, interoperability, and compliance readiness.
Accelerators that enhance data quality and trust
Sigmoid’s data quality accelerators automate validation and monitoring to improve accuracy, reduce risk, and ensure analytics and AI rely on trusted data.
Delivered 150+ data platforms
Implemented complex data platforms and data mesh architectures for global enterprises, applying proven execution patterns that reduce risk and accelerate time to value.
The future of fast food is AI- How Jack in the Box is redefining personalization and Supply chain
In this episode of Reimagine with AI by Sigmoid, Paul Bruffett, VP of Data & Analytics at Jack in the Box (Ex–Accenture, Starbucks), shares how AI is transforming the fast-food industry from building scalable data infrastructure for millions of daily transactions to balancing AI-driven automation with human hospitality.
Listen to the podcast
The Complete Guide to Data Quality Management (DQM)
Explore actionable frameworks, best practices, KPIs, and implementation strategies to transform your data into a trusted, high-performing asset.
Success stories
reports consolidated in a single BI portal, enabling faster insight delivery for a global leader in health, hygiene, and nutrition products.
reduction in inventory costs with data-as-a product to enable supply chain analytics for an American food and beverage manufacturer.
faster insights generation achieved through data migration from on-prem systems to Snowflake for a leading FinTech company.
Featured insights
WHITEPAPER
How Data Contracts ensure reliable data across the enterprise
POV
Building data products
DATA LENS