bipp AnalyticsProduct Overview
bipp Analytics product overview
bipp is a business intelligence (BI) company that helps organizations use data to make better and faster decisions. bipp introduces a solution designed for SQL analysts from day one. It is a cloud or on-prem business intelligence platform that simplifies SQL queries with a homegrown data modeling language.
bipp’s AutoSQL generator enables business users to explore analyst-defined datasets, reducing the back-and-forth between the BI team and end-users. It connects directly to the database, providing real-time analytics with no additional tools required. With a typical BI product, when an analyst receives a question, they run a query to the database, get the information back, then present it visually. If the user comes back with a slightly different question, the analyst has to tweak the SQL, then query the database.
Analysts using bipp create reusable complex data models instead of rewriting the same SQL fragments. Users collaborate and use version control while writing queries. Business users can use bipp to build and explore ad hoc reports on their own. Data analysts can slice and dice data and create visualizations, with updates reflected in real-time. Insights can be shared across the entire organization.
bipp treats analyst-defined data models as a single source of truth, forming a friendly layer between database and business colleagues. Its pricing model gives analysts in companies of all sizes access to a platform that’s been proven in large enterprises.
Pros of bipp Analytics
- Designed for data analysts from the ground up.
The bippLang data modeling language streamlines SQL queries by creating reusable complex data models with custom columns and dynamic sub-querying. The software’s always-free version gives access to the BI platform with professional support at no cost. bipp’s Git-based version control enables analysts to collaborate; all data models and SQL queries are automatically backed up.
- Saves time, reduces cost, and improves productivity.
bipp’s in-database analytics eliminates the need to copy data into a different system, speeding up access and producing real-time results. Users in the organization base business decisions from bipp’s single source of truth data models. The solution’s auto-SQL generator leverages joins defined in the data model.
- Helps business users make better-informed and real-time decisions.
bipp’s ad hoc reporting lets business users explore data freely and create complex SQL queries with a few clicks, to build and share reports. The solution’s visualizations reduce time to insight by allowing slicing and dicing of data with dashboard updates reflected in real-time. Dashboards are interactive and act like data applications, driving accurate decision-making. Bipp has scheduled reports and dashboards, enabling users to schedule multiple personalized reports for automatic delivery.
Cons of bipp Analytics
- The bippLang data modeling language is powerful but has a learning curve. While bippLang is designed to save analysts’ time, it needs to be learned and practiced. It isn’t designed to replace SQL – it’s designed to turbo-charge it. It’s an evolution of SQL. If the data analyst has SQL background, then the basics can be learned quickly, supported by bipp’s documentation and community. If you’re looking for a fully-automated environment and don’t have a background in SQL, then you may struggle.
Breakdown of core features
bipp Analytics provides features to help businesses handle, understand, and analyze complex data.
bippLang Data Modeling Language
bipp Streamlines SQL queries by creating reusable complex data models with custom columns and dynamic sub-querying, breaking the cycle of re-writing queries for every question. Once a data model is built, it’s encoded forever. It reduces the complexity of data stack and improves productivity by connecting directly to data warehousing functionality. bippLang provides Git-based version control for committing and automatically merging changes from browsers. It connects to all major databases and supports the associated SQL syntax, making the bippLang dataset an abstraction layer above SQL.
bippLang’s Auto-SQL generator leverages joins defined in the data model, figures out which tables to join, and generates dynamic sub-queries based on context so users can explore analyst-defined datasets, This reduces the back-and-forth between the BI team and end-users.
The GUI auto-generates SQL queries. Users can slice and dice the data, select various dimensions and measures, and apply filters. Once the company’s business logic is defined in bippLang, it can be used by the entire company, so everyone is using the same language to represent critical KPIs and data.
Data Visualization Turns Data into Stories
Visualizations reduce time to insight by allowing the examination of data with dashboard updates reflected in real-time. Every sheet in bipp is a visualization format for data that can be saved and used in dashboards. bipp sheets support many different types of visualizations for the same data, including tables, grid charts, bar and pie charts, maps, GMAPs, treemaps, and metrics. bipp can also create custom visualizations to meet unique needs.
bipp’s dashboards are interactive and can act like data applications. It drives quick and accurate decision-making as users can monitor and measure performance in real-time and provide focus on organizational or team KPIs. bipp allows the creation and management of multiple dashboards for grouping and presenting one or many bipp sheets.
bipp also provides a modern WYSIWYG editor for dashboard specifications. Grid Charts display similar graphs or charts arranged in a grid for comparing different slices of the data set. Rich and multi-dimensional data is displayed for comparing across variables and revealing the range of potential patterns. bipp can create Grid Charts with millions of data points in the browser, eliminating the extra step of publishing that traditional client-server architectures require.
Git-Based Version Control Turns Data Models Into Living Entities
bipp has capabilities for automatic back up, file management, and collaboration. The software incorporates modern version control features through Git to record changes and manage file versions. Each bipp project connects to a Git repository, and each developer branch correlates to a Git branch (which encapsulates changes).
All data models and SQL queries for projects are automatically backed up. Instead of working in a separate editor and saving versions locally, bipp projects integrate with Git to provide source control features such as:
- multiple branches
- saving/committing code to its branch
- automatically merging changes from the browser, and
- pushing/pull from the master
This turns data models and SQL queries into living entities, providing access to the latest version. Users can record changes to a file or set of files over time, so specific versions can be recalled later. It enables enterprise teams working together on an analytics project to share queries and collaborate with other team members. Git-based version control enables data analysts to reuse code, review history, and make edits to files for SQL queries.
(Last updated on 02/10/2021 by Liz Laurente-Ticong)