Build scalable AI/ML platforms to discover better insights with diversified data engineering services
Get StartedBuild scalable AI/ML platforms to discover better insights with diversified data engineering services
Build scalable AI/ML platforms to discover better insights with diversified data engineering services
Most enterprises are struggling to deliver timely insights for a wide range of reasons, some of which include multiple data platforms, lack of data trust, limited knowledge about the data, and inadequate compute resources. Data platforms form the foundation for delivering quality insights to the consumers.
Without robust data engineering services, insights generation and last mile adoption of insights remain a pipe dream for today’s business executives. Tredence’s data engineering offerings include Advisory, Implementation and Operate services with a focus on reducing cost of ownership, avoiding technical debt, and improving longer term sustainability.
Tredence’s proprietary digital accelerators along with our cloud data modernization & migration and data engineering services are proven to reduce time to value significantly for our clients in operationalizing modern data platforms on the cloud. Our digital accelerators cover all aspects of data operations, which include ingesting data from many data sources, provisioning the data or insights, intelligent catalog, data quality and trust, testing and deployment. Accelerate your data efforts with our AL/ML based digital accelerators and strategic partnerships to keep up with the scale, speed and value that today’s business environment demands.
Leverage our experience to define roadmap, strategy and approach to building and sustaining the most optimal data platform. Our toolkits, accelerators, solutions, and partnerships help us architect your target platform faster, accelerating your overall cloud data migration journey.
Finding the best tools and data engineering services are not the answer for delivering most cost effective, high performant and adoptable data platforms. Tredence brings proven business solutions, digital accelerators, frameworks, and tailored agile methodology to quickly realize the value from data assets and provide the flexibility to scale with the continued evolution of the business landscape. We bring a product mindset to delivering data platforms to our clients; our focus remains reuse, automation, self-healing, scalability, flexibility, and adoption.
The modern CDO has a wide range of responsibilities, and Tredence provides data engineering consulting and services to address many of the challenges that today’s CDOs face. Our data engineering services include data governance strategy, data literacy education, data catalog, lineage, and quality services and accelerators, and more. And as more laws are enacted to regulate how organizations handle customer data, Tredence has developed solutions to drive efficiencies in the customer data management domain.
Snowflake offers a wide variety of capabilities for a Data Warehouse implementation on Cloud. Having worked with Snowflake over the years and also being a Snowflake Elite partner, we at Tredence differentiate ourselves through our proprietary accelerators to drive value across the life cycle.
In every enterprise, much of the data to date is still stored in many different systems and insights generation starts with bringing data from different systems. Our codeless data ingestion accelerator is fully metadata driven and has built-in quality, catalog and metadata management features beyond automated ingestion.
We are invested in realizing your vision of insights driven enterprise
Data platform modernization accelerators and business solutions
Our engineering methodology, “The Tredence Way” (TTW), is best in the industry
Find out how we helped a world-leading energy technology company modernize their data platform to reduce costs and activate governance at scale.
We created a 2-year roadmap and identified multiple initiatives with dependencies and priority covering platform architecture, data migration, business use cases, data literacy, and governance. We have operationalized the future state architecture, decommissioned legacy data platforms, and implemented several advanced analytics use cases on the new platform. This delivered a range of benefits to our client.
60% reduction in overall platform costs in the 1st Year
30% improvement in time to insights
40% reduction in Operate / support costs
See how we helped a large retailer with a diverse range of data sources generating tons of data with platform modernization to arrive at insights about the Customer faster.
We helped the client migrate their data pipelines and analytics applications to Google Cloud Platform in different releases to ensure business continuity. This resulted in multiple benefits.
$1M platform cost savings
40% reduction in support staff
30% decrease in infrastructure-related incidents
How we unlock business value from our data engineering solutions and services
DataOps: Deliver data & insights faster for better adoption and ROI
DevSecOps: The only approach for faster and secure application delivery
BizOps – Ensure resilient and stable business applications
