"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 Enterprise Data & Analytics
Leverage end-to-end data engineering capabilities to enable seamless integration and create scalable data and analytics processes that transform your business.
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CxOs want to develop transformative data strategies that drive significant business growth by increasing automation and data-driven decision-making.
Tredence provides data engineering advisory services, architectural review boards, accelerator-led solutions, and centers of excellence to standardize and expedite data transformations. We help enterprises build scalable, future-proof platforms that meet current needs and evolve as business requirements grow. Through optimized data solutions, we empower leaders to streamline operations, reduce costs, and improve overall productivity, creating a foundation for long-term success.
Work with Tredence to develop a future-proof data platform strategy. We partner with you to develop a data migration and modernization strategy, perform a maturity assessment of your customer data platform, and craft a roadmap to evolve critical capabilities.
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We design and implement enterprise-grade data platforms with structured data lakes, high-performance pipelines, and migration frameworks. Leveraging accelerators, we modernize platforms at scale, reducing deployment timelines by over 50%.
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Tredence delivers a comprehensive Platform and Data Governance strategy built on the pillars of people, process, and technology. Our core capabilities span governance organization setup, data cataloging, quality management, master data, and access control—empowering enterprises with trusted and compliant data.
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At Tredence, we help enterprises unlock the full potential of their data through cutting-edge visualization and analytics solutions. From delivering real-time insights to enabling data collaboration through exchange and clean room capabilities, we transform the way businesses experience and act on data.
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Tredence acts as a trusted partner in managing your data and analytics ecosystem. From platform administration and performance tuning to governance, security, and continuous enhancement, our managed services ensure your data strategy evolves seamlessly with business needs.
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Tredence offers access to Amazon Web Services, Google Cloud Platform, Microsoft Azure, Databricks, and Snowflake centers of excellence (CoEs) with data engineering talent certified in their technologies and processes.
With our partners, we accelerate our joint customers’ cloud and data migrations, develop industry solutions using our GenAI driven pre-built accelerators, and work with them to scale capabilities across business functions and enterprise-wide.
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Tredence offers accelerator-led solutions to manage and optimize the end-to-end data lifecycle. Modernize data in scalable cloud infrastructure and empower teams with curated data sets to make decisions and innovate.
Improve trust in data with observability and management and maintenance services focused on improving availability, quality, and cost.
Deploy advanced technology like secure data exchange and clean rooms to enable data sharing, unlocking greater monetization opportunities.
Migrate data from legacy on-premises and cloud platforms to modern cloud platforms. Convert, discover, and ingest data from diverse sources with Tredence accelerators. Create scalable data processes, enabling real-time data streamlining, advanced analytics, and the curation of data sets at different quality levels for team exploration and decision-making.
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Build a customer data platform (CDP) that enables you to integrate first- and third-party data. Create a holistic view of your customers, capitalizing on richer insights to develop targeted offers.
Leverage Tredence accelerators to ingest batch and stream data, improve its quality, build AI and ML models and detect anomalies, and model data, creating analytics on more of your data holdings.
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Migrate legacy business intelligence (BI) stacks to modern platforms, rationalize reports, implement modern BI solutions, and enable self-service capabilities. Use Tredence accelerators to convert, discover, model, and generate curated data sets and scale data processes.
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Enable end-to-end platform operations, including observability, monitoring, maintenance, and cost optimization. Migrate your legacy on-premises and cloud platforms to modern, scalable solutions with Tredence accelerators that improve data observability and cloud costs.
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Enable safe, secure sharing and enrichment of encrypted data in clean rooms. Share data compliantly with partners, vendors, customers, and other parties, using insights to improve operations and unlock new monetization opportunities.
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With Tredence-certified accelerators, enterprises can fast-track governance and certified data asset creation. Our solutions—DQuest (Data Quality), Sancus (Master Data Management), anomaly detection, and Pathfinder (Lineage)—help organizations ensure trust, compliance, and transparency across the data ecosystem.
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data, analytics, and AI specialists
cost improvement in platform and support expenses
faster time to value through accelerator-led innovation
ATOM.AI assets: frameworks, models & dashboards for customizable industry use cases
net promotor score (NPS) from customers due to our focus on driving their success
A leading soft drink manufacturer’s legacy data warehouse faced frequent outages from scalability issues and heavy data loads. It also struggled with inefficient pipelines, duplicate provisioning, and slow dashboard performance, driving a high total cost of ownership (TCO).
Tredence partnered with the company to modernize its data infrastructure, migrating from a relational database to a scalable cloud platform. The company created a highly available environment with optimized ETL, provisioning, and dashboards.
30% reduced platform TCO over three years
200 KPIs enabled with end-to-end supply chain visibility
99% adherence to pipeline service level agreements
20% improvement in dashboard performance
A global convenience retailer faced daily data challenges due to rapid growth and acquisitions, resulting in petabytes of unused data and 30-hour delays in report generation.
Tredence partnered to build a modern data strategy, migrate data, implement a retail data model, and deploy ATOM.AI accelerators. Leveraging Microsoft Azure, Databricks, and Power BI, the solution enabled real-time data streaming, democratized access, and equipped teams with tailored, predictive analytics for faster, smarter decisions.
12% shrink reduction by implementing machine learning-driven production planning
100% SLA adherence to business and IT requirements
40% reduction in query costs by optimizing processes
A leading online marketplace experienced rapid business growth, straining data processes. The company needed a modern data architecture that could support rapid experimentation and enhance the user experience by enabling personalization at scale.
Tredence modernized data on the AWS Cloud and Databricks Data Intelligence Platform, enabling real-time data processing to optimize the company’s e-commerce experience. Marketing and e-commerce teams can experiment easily, testing and deploying new personalization strategies.
40% overall platform cost reductions in Year 1
50% improvement in data size, using compression and a standardized data model
25% improvement in self-service capabilities
A leading US telecom aimed to improve competitiveness and streamline operations with advanced analytics and reporting. However, its legacy enterprise data warehouse (EDW) lacked scalability, slowed analytics, and was costly to maintain.
Using its migrate to modernize approach, Tredence migrated a large-scale EDW to the Databricks Data Intelligence Platform and Azure Cloud, reducing costs, simplifying the architecture, and enabling scalable analytics and machine learning (ML). Business teams now access insights to drive smarter decisions.
$1M in expected annual platform savings
50% reduction in support personnel after 18 months
80% improvement in dataset provisioning timeframes using the new DataOps framework