How Microsoft Fabric Variable Libraries Can Save Your CI/CD Pipeline
Modern DevOps workflows increasingly rely on secure, automated authentication between CI/CD pipelines and cloud...
Data Science & Advanced Analytics
Turn Your Data Into Actionable, Predictive Intelligence
Data Science & Advanced Analytics Capabilities
Advanced Analytics helps you move beyond standard reporting and into meaningful, predictive intelligence. Spyglass combines Business Intelligence, Machine Learning, and Data Science with scalable cloud architecture to uncover patterns, forecast outcomes, and drive smarter decisions across your organization. Whether you’re building your foundational analytics layer or advancing toward predictive and generative capabilities, we help you turn raw data into measurable business impact. From initial data strategy to deploying AI models in production, we support the full data science lifecycle, bringing clarity and value at every step.
Harness the Power of Your Data.
Data Preparation & Feature Engineering
We help transform raw data into high-quality inputs for AI. Our experts implement robust data cleansing, transformation, and feature engineering techniques to ensure models are built on reliable, meaningful features. This foundation boosts model accuracy and insight relevance from day one.
Model Development & Fine Tuning
One size does not fit all. We build custom ML and AI models tailored to your business’s unique needs and data. Using Azure Databricks, Azure ML, and Microsoft Foundry, our data scientists develop models from scratch or fine-tune state-of-the-art models (including large language models) to excel in your domain.
MLOps & Model Operations
Deploying and operationalizing AI is in our DNA. We incorporate MLOps best practices. Our frameworks cover continuous integration/delivery of ML (CI/CD), model versioning, monitoring, and governance. This means your AI models remain performant, compliant, and reliable over time, with automated retraining, drift detection, and lifecycle management as standard.
Research Enablement
We don’t just deliver a solution and walk away – we empower your teams to sustain and grow it. For organizations starting out or building an internal data science practice, we provide structured training, mentorship, and onboarding for your data scientists and analysts. From hands-on workshops in Azure ML and Databricks to best-practice guides, we accelerate your team’s learning curve.
Ready to Turn Data into Competitive Advantage?
Discover how our Data Science & Advanced Analytics team can help you drive innovation and achieve transformative results.
I am happy to share our great experience with Spyglass MTG during our Azure, Application Migration, and Fabric journey. Their support and expert guidance helped us navigate these new technologies. I would recommend Spyglass MTG to anyone who wants a leg up in Azure & Fabric infrastructure build outs and application platforms.
Scott McKeon
GW&K Investment Management
Additional Resources
Understanding GitHub OIDC Tokens for Cloud Deployments
Joshua Custance: Dec 22, 2025
Modern DevOps workflows increasingly rely on secure, automated authentication between CI/CD pipelines and cloud...
Unifying Enterprise Data with Databricks Unity Catalog: A Real-World Success Story
Vishvesh Kaushik: Dec 4, 2025
In today’s enterprise landscape, data often lives in silos — across on-premises systems, cloud databases, and analytics...