Select Tier Partnership- Databricks
Powering AI-Driven Business Transformation with Databricks
As a Databricks Select Tier Partner, Sigmoid accelerates data-driven decision-making for enterprises by delivering advanced data engineering, AI, and analytics solutions. Our expertise in Databricks-native technologies, including the Data Intelligence Platform, Unity Catalog, Delta Sharing, MLflow, and Mosaic ML, enables businesses to unify data governance across data and AI assets, operationalize machine learning workflows, and securely share insights in real time to drive faster innovation and smarter outcomes.
Core Databricks expertise
Sigmoid has advanced competencies in deploying Databricks solutions for diverse and complex business needs. Here are our specialized areas:
Data engineering and pipeline orchestration
Unified data governance
ML engineering
Performance optimization and scalability
Data Engineering & Pipeline Orchestration
We design robust, well-architected data pipelines using Databricks’ Data Intelligence Platform,that helps in defining the right foundation and allowing customers to run a variety of workloads like from business intelligence and data warehousing to AI and data science.
Data Engineering & Pipeline Orchestration
We design robust, well-architected data pipelines using Databricks’ Data Intelligence Platform,that helps in defining the right foundation and allowing customers to run a variety of workloads like from business intelligence and data warehousing to AI and data science.
Data Engineering & Pipeline Orchestration
We design robust, well-architected data pipelines using Databricks’ Data Intelligence Platform,that helps in defining the right foundation and allowing customers to run a variety of workloads like from business intelligence and data warehousing to AI and data science.
Data Engineering & Pipeline Orchestration
We design robust, well-architected data pipelines using Databricks’ Data Intelligence Platform,that helps in defining the right foundation and allowing customers to run a variety of workloads like from business intelligence and data warehousing to AI and data science.
Data Engineering & Pipeline Orchestration
We design robust, well-architected data pipelines using Databricks’ Data Intelligence Platform,that helps in defining the right foundation and allowing customers to run a variety of workloads like from business intelligence and data warehousing to AI and data science.
Why choose Sigmoid for Databricks solutions?
Proven Impact
Delivered $300M+ in client value, with measurable business outcomes and an average project ROI of 300x.
Industry Expertise
Trusted by Fortune 500 companies across CPG, healthcare, finance, and manufacturing.
Scalable, Future-Ready Solutions
Architected for performance, compliance, and growth, ensuring long-term success.
Accelerated Innovation
Proprietary accelerators like DataGuard enhance data quality, governance, and sharing, optimizing Databricks environments.
Customer success stories
Demand forecasting solution with 10+ market disruption indicators, delivers prediction accuracy of 92%
A leading consumer goods brand leveraged advanced machine learning on Databricks to enhance demand forecasting. The solution improved forecast accuracy by 8%, reducing excess inventory and cutting operational costs.
Data mesh drives faster insights for commercial innovation
We built a Databricks-powered data clean room to centralize and govern enterprise data. This enhanced compliance efficiency and improved data accuracy, ensuring secure data sharing across the organization.
Multi-touch attribution boosts in-flight campaign optimization, driving 11% higher effectiveness.
Sigmoid built a marketing attribution solution on Databricks to accurately track sales performance across SKUs against marketing spend, boosting campaign effectiveness by 11% and increasing return on ad spend.
Network optimization reduces supply chain costs by 10%
Using real-time shipment analytics on Databricks, we built an optimization solution that streamlined routes, reduced delivery delays, and lowered operational costs—enhancing overall supply chain efficiency.