Let your business analysts choose the right track
to insights from their data lake


David Menninger

David Menninger
SVP & Research Director of Data and Analytics
Ventana Research

Shant Hovsepian

Shant Hovsepian
CTO & Co-Founder
Arcadia Data


Give Your Business Analysts Better Choices for BI on Data Lakes

As organizations continue to use more data sources to gain an edge, the data lake concept has gained momentum as a shared enterprise resource for supporting insights across multiple lines of business. A critical, yet often underemphasized step, is to provide secure, self-service BI and visual analytics for end users to get the insights they need.

Sounds easy to address, but is it really? There are four different ways to provide analytics on the data lake. What are the pros and cons of each? Can you leverage existing investments, such as your existing BI tools? What are the best deployment strategies for supporting 100s or 1000s of concurrent users across many business units?

Join this complimentary webinar with industry experts from Ventana Research and Arcadia Data who will cover:

  • Survey data from Ventana showing latest trends in data lakes and big data analytics
  • The pros and cons of traditional BI tools vs. “data native” modern BI tools
  • A live analytics/visualization walk through
  • 5 key requirements for your data lake

Watch on demand:

Give Your Business Analysts Better Choices for BI on Data Lakes - Webinar

Sponsored by:

Arcadia Data
Waterline Data