From fragmented customer data to legacy analytics and slow insight delivery engines, Retailers face many hurdles in engaging and activating customers. Retailers and CPGs are rich in data but starving for insights. They are struggling to harness the full potential of their enterprise data and drive value:
locked in legacy systems provides an incomplete customer and operations view
as dated analytic approaches and complex solutions are too slow to generate real-time recommendations
as complex and inflexible solutions require too many resources for implementation and interpretation to drive value
and need for true AI/ML to unlock actionable insights
With Databricks, Tredence meets the explosive enterprise demand for AI/ML and helps enterprises navigate complex data ecosystems, monetize enterprise data, improve time to insights, and maximize ROI. As a Premier Databricks partner, our alliance focuses on combining the advanced capabilities of Databrick’s AI-powered Lakehouse & Delta Sharing technology, with Tredence’s focus on last mile adoption of analytics. Tredence and Databricks help enterprises accelerate their migration to the cloud while reducing costs and maintaining agility.
“We are excited to work with Tredence. What always impresses me is the response you get from Tredence’s customers. They have one of the highest Net Promoter Score of any company that I have seen. We are really excited to collaborate with Tredence.” - Rob Saker (RVP Global Industry Leader, Retail and Manufacturing, Databricks)
Tredence has a strong partnership with Databricks and has developed deep expertise in the advanced Databricks capabilities. Databricks recently certified and onboarded some of Tredence’s solution accelerators including On-shelf availability (OSA) and Sancus as a part of Databricks’ Brickbuilder solutions program to drive enterprise value acceleration. With certified Databricks engineers and analysts, our Center of Excellence helps retail and CPG enterprises build and operationalize analytics platforms at scale.
Advisory and consultancy services, including strategic assessments, targeted to clients’ unique data lakehouse infrastructure needs, followed by an actionable roadmap for designing and creating their data lakehouse.
Implementing data standards and governance to unlock value from clients’ data reduces time to insight and boosts productivity. The approach allows them to manage a variety of complex analyses and focus on higher-value projects while cutting operational costs.
Seamless transition from on-prem to the cloud or within an existing private/public cloud instance. Migration services include multi-cloud decision analysis and recommendations, proactive issue resolution, and more.
Extract source data from databases, files, and API data sets and load them to data lakehouse to support seamless and easy data migration to the cloud using our codeless data ingestion tool – T-Ingestor.
Maintenance, support, and optimization of data assets with a robust process-driven approach, powered by scalable DevOps and MLOps. Our solution support also includes process consulting for asset maintenance and end-to-end user support.
Our Data migration accelerators aid enterprises to unlock the power of their data and help migrate to a modern, cloud-native architecture. Tredence has a proven track record of helping global manufacturers with large-scale data migration initiatives and accelerating modernization ROI by partnering with leading hyperscalers and data and AI companies. Our services and accelerators enable 50% faster migration and help achieve modernization goals of improved insights, increased productivity and self- service.
AI/ML Co-innovation with Databricks Brickbuilder Solutions Program
Recently Databricks selected Tredence as one of the two Premier launch partners to help Retailers and Suppliers unlock the value of the new Databricks Lakehouse for Retail platform. With Databricks' Lakehouse for Retail, data teams are enabled with a centralized data and AI platform that is tailored to help solve the most critical data challenges that retailers, partners, and their suppliers are facing. Tredence will help partners deliver cutting-edge Data and AI solutions on the Lakehouse platform to drive real-time decisions and power stronger customer experiences.
Retailers are missing out on nearly $1 trillion in global sales because they don’t have on-hand what customers want to buy in their stores On-shelf availability (OSA) is the single biggest challenge in Retail. Tredence and Databricks partnered to jointly build the On-Shelf Availability Solution (OSA) accelerator that helps retailers and manufacturers solve out-of-stocks by combining Databricks’ data processing capabilities and Tredence’s expertise in AI/ML.
Revenue Growth Management can help you sustain revenue growth across products, consumer channels, and geographies. Stay ahead of your competitors with real-time insights on pricing, assortment, and distribution. See how advanced analytics and AI-led decision intelligence from our Revenue Growth Management solution can drive customer-centricity now and power RGM through future disruptions. Leverage real-time perspective on pricing gaps, channel cannibalization, and more to implement them in revenue growth opportunities.
Enrich your omnichannel customer view, integrating first- and third-party data, to build and activate truly personalized strategies. Let Tredence’s Customer Cosmos solution turn your data into deeper customer knowledge to increase conversion, maximize NPS and drive incremental revenue growth.
With Sancus, our AI-powered Data Quality management solution on the Databricks platform, enterprises can create their master data from diverse sources while maintaining and tracking data quality over time. Enterprises can derive actionable insights from reliable data that is automatically captured, non-redundant, and cost-effective to maintain, for trustworthy intelligence to make the right decisions at the right time.
Our ML Works platform is an enterprise-grade MLOps solution with automated workflows and pre-built accelerators to track model degradation, manage code workflow, and fast track model management. Our key offerings for operationalizing MLOps include designing (experimentation tracking, model registry/archive, and hyperparameter tuning), testing (model accuracy, model performance and optimal model selection), model deployment (CI/CD versioning; Paas, IaaS, container and release management), and model monitoring (business KPIs, model accuracy and errors, and alerts and notifications).
1,600+ Data Scientists/Engineers
350+ Cloud Engineers
100+ Certified Cloud Practitioners
30+ Databricks Certified Practitioners