Desktop

Lavastorm Desktop, a desktop version of the Lavastorm Analytics Engine, gives business analysts powers that traditionally have only belonged to developers and IT organizations.  Unlike underpowered tools like Excel and Access or inflexible, traditional BI products, Lavastorm Desktop makes business analysts heroes by empowering them to:

Introduction-to-the-Lavastorm-Analytics-Engine

Lavastorm Analytic Engine Demonstration

Check-out the product demonstration video and become the analytic hero you know you are.

What makes it different?

Lavastorm Desktop is cost effective and easy to use, offering a visual modeling environment for ad hoc data discovery and persistent analytic control creation that replaces lengthy code-based development efforts with rapid, interactive configuration. Users who switched to Lavastorm Desktop from their prior analytic methods commonly achieved 90% reductions in the time-to-implement and cut their analytic execution time in half. Check out their case studies here.

Lavastorm Desktop delivers

  • Rapid Data Acquisition: Bring any data source, irrespective of format, into a common analytic environment in minutes to create a virtual data warehouse on the fly without custom SQL development.
  • Drag and Drop Development: Rapidly build analytic processes with intuitive visual tools that enable ad hoc data discovery and iterative, collaborative analytic development.
  • Faster Analytics: Leverage out-of-the-box ‘nodes’ – prepackaged building blocks of analytic functionality to accelerate discovery while avoiding errors common in custom code development.
  • Visualize and Trace: See a graphical representation of your results at any step of the analysis and trace any record back to its source for total auditability and root cause resolution.
  • Publish Anywhere: Leverage the results of your work by publishing them into your dashboards, copying to a database or data warehouse, distributing via email, and more.
  • Reuse and Share: Create and save your own analytic building blocks and processes to reuse and share them to accelerate future investigations.