"Tredence has been a trusted partner to our Data & Analytics team. Their deep expertise in cloud data platforms—along with their strong capabilities in building and supporting data engineering pipelines, DataOps, and MLOps frameworks—has led to significant improvements in our internal processes and delivered measurable cost savings. As we advance on our AI journey, Tredence continues to be our partner of choice to help us achieve our long-term strategic objectives."
VP of Enterprise Data & Analytics
Tredence helps you migrate from legacy systems to a modern, cloud-based infrastructure and generate actionable insights with the power of AI.
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Data & AI 101
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Tredence can help you not only migrate your data to a modern cloud-native ecosystem, but also offers industry-aligned advisory services that enable last-mile adoption of your enterprise AI and ML, GenAI adoption and self-service analytics.
We evaluate the maturity of your data platform and identify critical gaps across architecture, governance, and scalability. Leveraging decision trees and comprehensive scorecards, we design a Target State Architecture that is fully aligned with your business priorities.
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We enable enterprise-wide trusted data quality across layers and domains by setting up robust data governance. This covers cataloging, lineage, security, ownership and other core pillars to manage and govern data assets effectively.
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We design and implement comprehensive, industry-tailored data models—including Retail 360, CPG, and Healthcare & Life Sciences—along with domain-specific models for supply chain and customer data. These models are powered by optimized data pipelines that seamlessly integrate and enrich them with the required data and KPIs to deliver actionable insights.
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We establish DataOps, PlatformOps, AIOps, and FinOps practices to drive continuous improvement across data pipelines, platform operations, and cost efficiency. By streamlining development, security, and operations—and enabling end-to-end observability across data, ML, AI, and platforms—we ensure enhanced performance, reliability, and scalability.
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We develop next-generation, scalable BI and analytics dashboards that deliver deep insights into key metrics and performance indicators, reinforced with robust security and governance. In parallel, we design, build and optimize ML models across diverse use cases, enabling both predictive and prescriptive analytics to drive smarter, data-driven decision-making.
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We design and implement Gen AI and agentic solutions tailored to business needs—ranging from intelligent automation and natural language interfaces to decision-support systems. Our capabilities include building domain-specific LLMs, integrating them with enterprise data, and enabling secure, governed deployments. By embedding reasoning, orchestration, and multi-agent collaboration, we drive measurable efficiency, innovation, and business impact.
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Tredence fast-tracks data migration with AI and GenAI-driven accelerators and frameworks, ensuring seamless transitions across architectures and platforms.
Our intelligent solutions automate, optimize, and de-risk modernization, enabling enterprises to harness AI-powered insights faster. With a proven GenAI-first approach, we transform legacy systems into future-ready, scalable, and efficient data ecosystems, unlocking unparalleled business value.
Tredence has developed a data discoverability solution that captures existing solution artifacts, complexity, and lineage, with the capability to rationalize objects, pipelines, and models for migration to the target architecture. Our Report Rationalization solution extracts report metadata to build disposition frameworks, streamlining and optimizing report portfolios.
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We have built a metadata-driven ingestion framework with the capability to connect to diverse sources, capture change data, and load into raw and curated layers. The framework embeds data quality checks and encryption by design, enabling secure, scalable, and automated data ingestion across all major cloud-native data platform.
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We offer a comprehensive Data Quality suite spanning Data Engineering, Master Data Management, and Anomaly Detection—seamlessly embedded within data pipelines to ensure trust and reliability. Complementing this, our Gen AI–powered cost and pipeline observability solution detects anomalies, delivers actionable insights, and drives proactive optimization.
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We have developed a Gen AI–powered accelerator that enhances Tredence’s industry-standard data models by incorporating customer BRDs and source data, enabling the rapid creation of customized, scalable data models. These models are purpose-built to support advanced analytics and Gen AI use cases, accelerating time-to-value and business impact.
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Tredence’s MLWorks accelerator enables comprehensive observability for large-scale ML models, ensuring real-time monitoring, proactive drift detection, and faster debugging. With end-to-end visibility, pipeline traceability, and root cause analysis, it enhances model reliability, performance, and governance, allowing enterprises to scale AI confidently.
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Tredence’s Gen AI–powered data engineering frameworks accelerate delivery by over 50% through capabilities in discoverability, code conversion, data observability, and automated data model generation. In addition, our industry-focused Gen AI functional accelerators unlock greater value from the existing data estate, enabling customers to drive faster, more informed business decisions.
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faster discovery in data warehouses or data lake
improvement in productivity over the data lifecycle
faster data migration
projected savings in platform cost in one year
reduction in data discovery and automated profiling timeframes
The retailer partnered with Tredence to drive high-speed cloud migration and RMN transformation. Across three phases, Tredence replaced Alteryx, and built a Google Cortex-based unified platform.
On BigQuery, it activated a retail media network, integrated AI capabilities such as price tracking and inventory analytics, and ensured compliance. The solution now supports 30K+ daily users, reduces cloud costs, and consolidates reporting on a scalable, GCP-native stack.
$500M RMN revenue realized
12PB migrated in 6 months
30K+ daily users enabled
Optimized GCP compute costs
A leading multinational food and beverage corporation, operating in 200+ countries, sought to modernize its legacy, on-prem data systems to reduce maintenance costs and enhance performance.
Their vast product portfolio required a scalable, efficient data architecture, prompting a shift to Azure. Tredence:
Migrated 19 markets and added 2 new markets to the ecosystem
Reduced ~75% dependency on legacy systems through Azure migration
Migrated 120+ tables and created 25+ Synapse views for Power BI, replicating Teradata’s semantic layer
Executed 100+ test cases to ensure robust data validation and platform reliability
A global CPG company faced persistent data challenges, including fragmented data silos, duplicative preparation efforts, and inconsistent data quality. These issues led to limited stakeholder trust and governance inefficiencies, hindering the organization's ability to make informed decisions.
Tredence partnered with Databricks to design a cloud-based, unified enterprise-grade data platform on Microsoft Azure, leveraging Databricks Delta Lake and Unity Catalog. The solution involved:
100+ KPIs created
50% faster time to market
3x faster ingestion speed
2x improved reporting efficiency
A leading specialty materials manufacturer faced significant challenges with fragmented data systems, leading to inefficiencies, delays in decision-making, and frequent infrastructure-related disruptions. With a mission to modernize its data landscape, the company partnered with Tredence to implement a centralized data platform on Azure.
Tredence designed a robust solution leveraging Databricks Delta Live Tables (DLT), Unity Catalog, and Azure Data Factory to create a unified platform.
99%+ uptime reliability
90% enhanced data access
60% fewer disruptions
Real-time actionable insights