Audience

Businesses and companies interested in a data analysis cloud BI platform solution for their data operations

About bipp

Powered by the bippLang data modeling language, bipp’s cloud BI platform was designed for SQL and data analysts from day one. It saves you and your teams' time so your businesses can make better-informed, faster decisions. bippLang data modeling language streamlines SQL queries by creating reusable complex data models with custom columns and dynamic sub-querying. Git-based version control means analysts can collaborate; all data models and SQL queries are automatically backed up. Always-free version gives you access to a powerful BI platform with professional support at no cost. In-database analytics means there’s no need to copy the data into a different system, speeding up access and producing real-time results. Auto-SQL generator leverages joins defined in the data model, figures out which tables to join and generates dynamic sub-queries based on context. Single source of truth data models ensure everyone in the organization bases business decisions on the same data.

Pricing

Starting Price:
$10 per user per month
Free Version:
Free Version available.
Free Trial:
Free Trial available.

Integrations

Ratings/Reviews

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Company Information

bipp analytics
Founded: 2017
United States
bipp.io

Videos and Screen Captures

bipp Screenshot 1
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Product Details

Platforms Supported
SaaS
Training
Documentation
Live Online
Support
Online

bipp Frequently Asked Questions

Q: What kinds of users and organization types does bipp work with?
Q: What languages does bipp support in their product?
Q: What other applications or services does bipp integrate with?
Q: What type of training does bipp provide?
Q: Does bipp offer a free trial?
Q: How much does bipp cost?

bipp Product Features

Business Intelligence

Data Analysis
Visual Analytics
Performance Metrics
Strategic Planning
Budgeting & Forecasting
Key Performance Indicators
Profitability Analysis
Dashboard
Ad Hoc Reports
Trend / Problem Indicators
Predictive Analytics
Benchmarking
Natural Language Generation (NLG)

Data Preparation

Data Access
Data Blending
Data Mashup
Data Transformation
Data Modeling
Visual User Interface
Collaboration Tools
Data Governance
Machine Learning
Data Cleansing