Brazen
Brazen achieves remarkable efficiency with Ascend’s automation, streamlining data operations and BI initiatives for cost-effective, agile results.
Harry’s
Harry’s Accelerates Global Marketing Analytics with Intelligent Data Pipelines
Biome
Biome leverages Ascend to expedite their data pipeline and support rapid growth in data volume.
HNI Corp.
HNI is driving digital transformation of their business with data.
New York Post
Understanding advertising information as well as how readers interact with digital content is crucial to the growth and success of the New York Post and its associated online properties.
Steady
Learn more about how Steady is working with Ascend to eliminate tech debt, bring DevOps principles to data systems, and automate data and analytics workloads in order to scale the productivity of their team and the benefits they get from their data and analytics pipelines.
Be Power
Be Power Selects Ascend.io to Supercharge Data Engineering Velocity.
Be Power Selects Ascend.io to Supercharge Data Engineering Velocity
Milan-based Electric Mobility Company Leverages the Ascend Platform for an 80% Reduction in Time Spent Building and Managing End-to-End Data Pipelines
How Steady Is Working with Ascend to Scale and Automate Data Workloads
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.
Reading from a Single Source of Data Truth with the New York Post
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.
Styling Data Pipelines for Analytics Success at Mayvenn
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 led the Mayvenn team to the Ascend Unified Data Engineering Platform.
Supercharging Time to Analysis at Harry’s
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 The Ascend Unified Data Engineering Platform.
