No matter what industry you’re in, the pressure to provide timely, actionable insights for your business rests squarely on your team’s shoulders. With all the available data out there it can be the wild, wild west trying to track it down and analyze it.

Meet our next Data Disruptor, Benjamin Kocarnik, Data Analyst at Juniper Networks. As a member of the Go-To-Market Analytics team, Ben supports and automates finance and sales data analytics pipelines. But when the team’s original underlying file-based spreadmart began to crumble after creating dozens of production dashboards and analyses, they had to find a better way to speed up daily processes, reduce error-rates, and lay a scalable analytics foundation for the future.

Watch this webinar to hear from data and analytics peers and learn how you can unlock optimal performance by blending and analyzing Big Data without moving it out of database. In this webinar, we’ll show you how to:

  • Understand and access Big Data with many disparate data sources, regardless of the size, or where it resides
  • Leverage the power of the cloud to run your analysis and utilize in-database features
  • Enrich your Snowflake Data Lakes with streamlined integration and third party demographic, firmographic and spatial data
  • Deliver impactful data insights with self-service data analytics at massive scale
  • Streamline all of your tasks so you can perform more advanced analysis

Are you ready to go big? Watch to see how you can revolutionize business insights through modern data warehousing, analytics, and data science faster than you ever thought possible.


  • Ben-Kocarnik
    Ben Kocarnik

    Data Analyst
    Juniper Networks

  •  Raman-Kaler
    Raman Kaler

    Sr. Marketing Manager

  • Connor-Kelleher
    Connor Kelleher

    Solutions Engineer

“Our new Alteryx and Snowflake process took off three hours on average from when the dashboard is made available every day. This is huge, as it can now deliver daily key insights to our business leaders practically first thing in the morning, which further establishes trust in our go-to-market analytics team. In the end, this new approach writes another huge success story in how we operate.”  
— Ben Kocarnik, Data Analyst, Juniper Networks

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