Migrate to Modernize Offer by Tredence

Tredence provides comprehensive, end-to-end advisory, discovery, design, implementation, and support services to help organizations get started with or extend their use of Microsoft Azure for enterprise data, analytics, and AI workloads. We enable this through the modernization and migration of legacy data and analytics platforms to Azure-native, cloud-based architectures.

The objective of this offer is to help customers rapidly design a future-state Microsoft Azure data and analytics architecture built for enterprise-scale analytics, establish robust data governance standards and controls for trustworthy data, and configure the Azure operational foundation required to deploy, manage, and monitor advanced analytical models (AI/ML/LLM). This approach validated through a proof of concept using Tredence’s proven migration accelerators and Azure-aligned reference architectures, ensures customers are fully prepared to scale Azure-based analytics and AI innovation.

Who Benefits from This Offer

Technology Leaders (CTO, CIO, CDO): Azure modernization helps technology leaders move away from costly, inflexible legacy platforms while enabling new Azure-native capabilities for analytics, AI, security, and scalability that were not previously possible.

Business Leaders: Microsoft Azure analytics platforms enable organizations to capture, store, process, and govern large volumes of data while accelerating insights and decision-making through modern Azure services.

Data Scientists, BI Consumers, and Data Analysts: Azure-based analytics and AI platforms empower data practitioners with scalable compute, governed data access, and integrated tooling to drive faster insights and innovation.

Tredence’s 7-Step Azure-Centric Approach

1. Define Target State Data Architecture : Design a scalable, future-state cloud data architecture to meet all enterprise analytics and AI requirements.
2. Establish DQ, Data Catalog, Data Governance : Implement governance policies and a centralized data catalog to ensure data quality, trust, and compliance.
3. Data Model, Design & Customizations : Engineer optimal cloud data models and customized schemas to replace legacy structures and boost performance.
4. Data Pipeline Design, Development & Deployment : Develop robust, cost-efficient data pipelines and automate migration using Tredence's accelerators and CI/CD.
5. Establish ML/LLM/GenAI Ops for model deployment & monitoring : Configure the operational foundation (MLOps/LLMOps) for automated, governed deployment and tracking of advanced analytical models.
6. Retrofit BI, analytics, and downstream applications : Modify and reconfigure all existing BI and downstream applications for seamless performance on the new data platform.
7. Change Management & Adoption : Ensure successful long-term platform operation through structured training, documentation, and knowledge transfer.

How We Address Customer Challenges

Tredence delivers a complete, end-to-end Azure migration and modernization experience by combining proven methodologies with Azure-aligned accelerators.

Robust Azure Architecture Design: We help customers design the right Azure platform architecture based on prioritized analytics and AI use cases.

Pre-Built Industry Data Models: Industry-specific data models accelerate Azure adoption and reduce time-to-value.

Azure Migration Accelerators: Tredence leverages custom accelerators along with Microsoft-approved tools and services to speed code, schema, and workload migration to Azure.

Proven Migration Playbooks: Our Azure migration playbooks are built on years of large-scale enterprise transformations, improving speed, quality, and predictability.

Business Impact Tredence’s Azure migration and modernization services enable customers to achieve 30–50% cost savings, reduce time-to-value by months or quarters, and unlock Azure-native analytics and AI capabilities faster—driving measurable business outcomes sooner.