Technology for data-driven
business management
Based on your environment, goals, and team capabilities, we select and configure data technologies to support analytics, planning, and the use of AI in everyday business management.
Data integration & movement
Reliable data transfer from applications and databases into your analytics environment, both in real time and in batches.
Replicate and synchronize data in real time from multiple sources into the cloud or internal systems for immediate analytical use and insights.
Automate data movement from applications and databases into a cloud data warehouse without the need for custom coding or maintenance.
Flexibly integrate data from hundreds of sources using an open-source platform into your own data warehouses and analytics platforms.
Data platforms
Platforms and cloud ecosystems that create a unified foundation for analytics, planning, and data operations across the entire organization.
A cloud platform for large-scale data management, storage, and analytics, with independent scaling of storage and compute power.
A cloud platform for analytics and data operations, including BigQuery for scalable storage, querying, and processing of large datasets.
A cloud platform and ecosystem of services for data storage and analytics, including Redshift, S3, and tools for processing and managing large-scale data.
Data transformation
Converting raw data into a structured format ready for analytics, reporting, and other data products in your data warehouse.
A cloud-native data platform for integration, transformation, and data quality management that unifies data from different sources and prepares it for analytical workflows.
A SQL-based transformation layer for data modeling, testing, documentation, and lineage — enabling trusted analytics in your data warehouse.
Data analytics
An analytics platform for self-service and governed analytics, enabling interactive data exploration, dashboards, and embedded scenarios in applications.
A unified and scalable platform for self-service and enterprise BI, enabling users to connect to data, visualize it, and share insights across the organization.
A visual analytics platform that helps people see, understand, and act on data through interactive analysis and shared visualizations.
AI & machine learning
Platforms, services, and AI layers for developing, deploying, and using machine learning and generative AI on enterprise data.
A data and AI platform built on a lakehouse architecture for developing, deploying, and operating machine learning models and generative AI applications on open standards.
A cloud platform for managing the full lifecycle of ML projects — from data preparation and model training to production deployment and monitoring.
An extension of the data platform with native generative AI and ML services, enabling secure AI model execution and intelligent app development directly on enterprise data.
A family of multimodal generative AI models capable of understanding and generating text, images, audio, and video for enterprise and developer AI applications.
An AI extension of the analytics platform offering generative answers, predictive models, and assisted insights without requiring deep ML expertise.
A generative AI layer integrated into Microsoft tools, helping users work with data, content, documents, and business processes through natural language.
Planning & data input
Platforms for interactive data input, planning, and consolidation, with workflow and forecasting support, typically as extensions of analytics platforms.
An integrated platform for planning, budgeting, and forecasting with support for writeback, scenarios, and models, working across Power BI and Excel environments.
Case studies
