BIPP Inc., a business intelligence (BI) company that helps organizations use their data to make better and faster decisions, is releasing the free beta version of its new business intelligence platform and bippLang data modeling language. The platform is enterprise-grade, in-database, and cloud-based, while bippLang is a data modeling language that supports collaboration, git-based version control, and re-usable data models.
The bipp Platform and data modeling language have been built from the ground up for data and BI analysts – the former using SQL to query databases and the latter which leverage actionable insights from BI software for strategic business decisions. The bipp platform is complete with highly scalable tools that remove the roadblocks that make other platforms challenging.
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“Given the pressure for data-driven decision making, organizations need something more robust than what’s currently available,” said Vishal Joshi, co-founder of bipp. “With bipp’s self-service model, combined with in-database analytics, everyday users get deeper insights from their data in real-time and can make critical business decisions faster.”
bipp’s bippLang data modeling language gets analysts out of the cycle of revising queries for every question. The analyst defines the model once using bippLang and clicks ‘Deploy Data Model.’ Business users can then fetch it and build visualizations using an intuitive sheet view.
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bipp helps business users become self-sufficient, letting them drag and drop the relevant columns when they have new queries. bipp’s AutoSQL generator leverages the previously defined model and constructs a SQL query based on what the business user selects. According to Angshuman Guha, co-founder of bipp, there are some good BI products on the market, but there’s room for improvement.
“Our difference is that we’ve built bipp from the ground up using modern software development techniques to be intuitive for data and BI analysts, the main BI platform users. We’ve removed the frustrating back and forth between analysts and business users that is time-consuming and makes it harder to use data to make critical decisions,” added Mr. Guha.
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