The Data Cloud is a global network where thousands of organizations mobilize data with near un-limited scale, concurrency, and performance, powered by Snowflake's unique architecture. In addition to our expertise in the Snowflake platform, we have extensive experience across several industries that have resulted in working with an extensive variety of data types and sources.
As a Snowflake Select partner, we've designed a set of services that help you plan, build, manage, and innovate on the data cloud.
We know that you need to see value in your data analytics quickly. We accelerate our consulting engagements and provide strong time-to-value by combining industry experience, deep expertise in the Snowflake Data Cloud, and a portfolio of accelerators and industry frameworks powered by leading technology.
A unique combination of platform expertise and industry experience. We've been on your side of the table and understand your challenges.
Want to get there faster? We've got you. Implement and scale your more efficiently and confidently with your business goals in sight.
We place an emphasis on a human-centric approach and deliver an experience tailored to analysts, data scientist, and the data citizen community.
With the #1 data cloud and our dedicated cloud data expertise, no challenge is too complex. Choose which workloads you want to enable with Snowflake, and work with our team to understand the features and processes that bring these workloads to life.
Snowflake's support for data warehousing and analytics provides a low-maintenance, cost-effective way for organizations to consolidate all their data silos into a single source of truth they can query to get results fast. By providing consistently fast queries, more users analyze more data and collaborate with peers.
Using Snowflake as either a standalone data lake or as a means to augment an existing one, delivers the best value in the market for storage, transformations, and data warehousing within one platform to solve all business needs.
Snowflake streamlines data engineering, delivering performance and simplicity so organizations can focus on getting value from their data instead of managing the pipelines and infrastructure.
Snowflake helps data scientists operate quickly and efficiently by providing a centralized source of high performance data to a robust ecosystem of data science partners that handle modeling and training algorithms. Partner-provided output is fed back into Snowflake where it's easily accessible to technical and non-technical users.
Share and collaborate on live data across your data ecosystem.
Build data-intensive applications without operational burden.
Customer Success Stories
Our Data Cloud Plan engagement outlined to executives the benefits of automating several manual process, consolidating data from 3 disparate ERP systems, and a roadmap of use cases that provided the company with a re-usable, repeatable framework and process.
In this case study, Pandata Group helped a Midwest leader in hospice care evaluate, engineer, implement, and manage a full cloud-native data and analytics platform by bringing in formerly siloed system-generated data.
A modern data analytics consulting company can't execute in classic consulting models. We combined the experience of hundreds of data warehouse and analytics projects with what we've learned from our Snowflake implementations to create the Fuel Accelerated Framework. This methodology aligns the unique technology stack with organizational objectives to build an iterative, human-centric data analytics cloud based on Snowflake.
Pandata Group certified Snowflake professionals will assist your team in getting started with the right architecture and installation that will be ready for scale.
Duration: 3 Days
Our team of experienced Data Engineers will help you drive your initial workplan by designing the solution strategy, deploying and configuring the data cloud platform and deliver a production-ready Phase One pilot.
Duration: ~12 weeks
We'll assess your current Snowflake environment and provide you a list of recommendations to reduce cost, improve performance, data loading, and set in place resource management and utilization as Phase Two of your Data Cloud journey.