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Discover why Audacy selected Ascend to deliver new data products and station-specific insights 10x faster than with multiple toolsets. … Read More
In this installment of the Ascend partner webinar series we talk with Cyrus Facciano and Jared Langguth, the principals of X is Y, about their secret sauce to helping major enterprises create business value with technology and automation. … Read More
Milan-based Electric Mobility Company Leverages the Ascend Platform for an 80% Reduction in Time Spent Building and Managing End-to-End Data Pipelines
Learn more from Jason Robinson, VP, Data Science & Engineering at Steady, about how organizations, like Steady, are moving into the future of scaling data teams and data workloads with Ascend. … Read More
With Ascend, the ability to rapidly iterate on ETL enabled the New York Post team to focus on the higher-level work that provided value across many business units without the need to manually transform dozens—if not hundreds—of distinct data sources. … Read More
Results from the 2021 DataAware Pulse Survey find that with the need for data products on the rise, teams struggle to keep pace.
With increasing, disparate data streams, the Mayvenn analytics team set out to find a data orchestration solution that enabled them to handle the vast majority of data ingest and transformations while also delivering the ability to rapidly iterate on ETL without requiring help from the engineering team. This is what
In this talk, you’ll hear Sean Knapp and Sheel Choksi discuss and demo the recent feature updates including the new Flex Code Data Connectors and the Python SDK, as well take a look at the new product updates that we have planned over the next few months. … Read
Harry’s head of analytics, Pooja Modi, and data analyst, William Knighting, spearheaded a new initiative to find a more powerful solution to expedite ingesting, transforming, and delivering data feeds to Looker in a manner that correlates brand information across functions. With these criteria in mind, the Harry’s data team found
Data pipelines are a reality for most organizations but they can be operationally brittle. However, it doesn’t have to be that way. Advances in machine learning can take pipeline automation into the realm of intelligent systems. GigaOm analyst, Andrew Brust, and Ascend founder & CEO, Sean Knapp, discuss what’s driving
HNI Corporation is a US$2.2B workplace furnishings and hearth provider, with 19 distinct brands and global manufacturing sites. HNI is driving digital transformation of their business with data. Read below on how their decision sciences team continually improves business operations with the use of data, analytics, and machine learning. …
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