Search
Explore digital transformation resources.
Uncover insights, best practises and case studies.
Search
Explore digital transformation resources.
Uncover insights, best practises and case studies.
Take control of your data with confidence, speed and ease.
From adoption and implementation to migration and optimization, our experts ensure your data flows seamlessly across all sources, empowering your organization to make faster, smarter, and more informed data-driven decisions.
Get clarity on where Fabric fits in your data landscape. We help you assess your current architecture, identify high-value use cases, and design a Fabric-based data platform that supports your business goals. Together, we create a concrete roadmap with target architecture, governance model, and cost considerations, so you know exactly what to build and why.
Turn your Fabric vision into a working solution. We set up and configure the Fabric platform, build data pipelines, models, and reporting layers, and integrate it with your existing tools and processes. The result is a secure, high-performing data environment that your teams can start using quickly.
We inventory your current data assets, plan a phased migration, and handle data preparation, transformation, and validation, whether you’re coming from on-premises, cloud, or hybrid environments. Performance, reliability, and data quality remain in focus throughout the migration
Make Fabric part of how your organization works. We help your teams adopt Fabric through use-case–driven onboarding, workspace and OneLake structuring, and practical training for data, analytics, and business users. Governance and best practices are built in from day one, so adoption is sustainable, not a one-off project.
Keep your Fabric environment evolving with your business. We provide ongoing support, monitoring, and incremental improvements to your Fabric solutions. We help you take advantage of new features, optimize performance and costs, and continuously align the platform with changing business needs.
Once your Microsoft Fabric foundation is in place, the real value comes from what you build on top of it. We design and implement solutions on MS Fabric to turn your data platform into tangible business outcomes.
We help you design and build applications that produce reliable, AI-ready data from the start. That way, quality and consistency carry all the way through to reporting and advanced analytics.
We design and implement robust data pipelines with tools like Fabric Data Factory, Notebooks and Eventstreams. Your data is cleaned, transformed, and ready to use where it’s needed.
We define a data architecture that fits your business – combining warehouse, lakehouse and eventhouse patterns on Fabric. This creates a unified, well-organized data foundation for both near real-time stream analytics and dashboards, governed reporting and flexible operations.
We build Power BI models, dashboards, and reports tightly integrated with Fabric. Business users get trusted, up-to-date views of the metrics that matter, with room for self-service where it makes sense.
We develop and deploy custom AI and machine learning solutions to drive innovation, automation, and smarter decision-making.
We stay with you after go-live to run, monitor, and improve your Fabric environment. As your needs change, we help you onboard new use cases, optimize performance and costs, and keep the platform aligned with your business.
Our data and AI teams design, build, and run solutions on Microsoft Fabric that turn data into decisions. From data engineering to real-time streaming analytics to GenAI, you get a cross-functional team focused on real business outcomes – not just technology for its own sake.
Design and build data foundations for Fabric: pipelines, eventstreams, models, and structures that turn raw data into clean, well-governed, and reusable assets for analytics and operations.
Use statistical modeling, experimentation, and coding to validate hypotheses, and build models that address real business questions.
Transform models into production-grade solutions. They design, implement, and integrate machine learning workloads on Fabric so they’re scalable, reliable, and maintainable.
Design, orchestrate, develop, and optimize LLM applications through evaluating LLMs, prompt engineering, implementing RAG and guardrails, fine-tuning, and more.
Integrate best practices from various sources to facilitate the successful deployment and management of ML models in production environments.
600+
500+
300+
160+
mastered technologies
Migrating and unifying processes in sales, customer service, and operations to scale after a merger.
Microsoft is transitioning from standalone Power BI Premium capacities to Fabric capacities, making Fabric the natural next step for advanced analytics on the Microsoft stack. Fabric unifies data engineering, lakehouse/warehouse (OneLake), pipelines, real-time, notebooks/ML, and Power BI on a single platform, so you spend less time stitching tools and more time delivering value.
Fabric simplifies your enterprise data landscape with a single platform that combines data engineering, warehousing, AI-powered analytics, and real-time insights. Key benefits include:
With self-service analytics, intuitive interfaces, and low-code/no-code tools, Fabric empowers employees of all skill levels to analyze and act on data. By democratizing access to insights, it encourages better decision-making across the organization.
Fabric excels in situations such as:
Built on Azure, Fabric leverages its infrastructure, security, and AI services while offering a standalone, unified SaaS experience. Open standards and APIs ensure interoperability, easy integration with existing systems, and freedom from vendor lock-in.
Fabric consolidates all aspects of data management, warehousing, lakes, engineering, AI, and BI into one platform, powered by OneLake as a single source of truth. Centralized governance, AI-powered analytics, cost-effective scalability, and seamless collaboration make it a future-ready solution for organizations aiming to unlock the full value of their data.