bipp’s Modern BI Platform Helps You Make Decisions in Real-Time
No waiting for slow cubes, data extracts, or delays for new dashboards
Explore Billions of Rows of Real-Time Data with In-Database Analytics
Unlike legacy BI tools that pull whole databases into a BI product before performing operations, bipp speeds up analysis by processing inside the database.
bipp’s in-database analytics removes the resource-heavy pull step, plus you now have portable code within the database you can take to another tool. The modeling, query, and results are sent between the database and your BI tool. Thus, the entire dataset is never in motion.
This means there are no slow-moving cubes or redundant data extracts. Thanks to in-database analytics, non-technical users can make real-time decisions based on the latest data instead of waiting days for outdated dashboards.
Explore Billions of Rows of Real-Time Data with In-Database Analytics
Unlike legacy BI tools that pull whole databases into a BI product before performing operations, bipp speeds up analysis by processing inside the database.
bipp’s in-database analytics removes the resource-heavy pull step, plus you now have portable code within the database you can take to another tool. The modeling, query, and results are sent between the database and your BI tool. Thus, the entire dataset is never in motion.
This means there are no slow-moving cubes or redundant data extracts. Thanks to in-database analytics, non-technical users can make real-time decisions based on the latest data instead of waiting days for outdated dashboards.
Quickly Gain Insight by Instantly Filtering Every Tile in a Dashboard
If you’ve ever stared at a live dashboard and wondered ‘what if?’, then had to wait for data analysts to help you get the answer, then bipp’s cross-filtering is for you.
Cross-filtering means that If you want to analyze a four-tab dashboard, you won’t have to filter each tile (or ask for help). Instead, click on a data point in one tile, and this filter is applied to all the other tiles. This speeds up your analysis and makes data comparisons more accurate since the same filter is applied to every tile. It also helps you understand clearly how a metric affects others.
With cross-filtering, dashboards are much more interactive, which makes analysis and decision-making quicker and easier.
Quickly Gain Insight by Instantly Filtering Every Tile in a Dashboard
If you’ve ever stared at a live dashboard and wondered ‘what if?’, then had to wait for data analysts to help you get the answer, then bipp’s cross-filtering is for you.
Cross-filtering means that If you want to analyze a four-tab dashboard, you won’t have to filter each tile (or ask for help). Instead, click on a data point in one tile, and this filter is applied to all the other tiles. This speeds up your analysis and makes data comparisons more accurate since the same filter is applied to every tile. It also helps you understand clearly how a metric affects others.
With cross-filtering, dashboards are much more interactive, which makes analysis and decision-making quicker and easier.
Data Models Save Data Analysts’ Time and Help Business Users Quickly Create Ad Hoc Reports
bipp’s data modeling layer helps data teams use SQL to build a data dictionary based on key dimensions and metrics. This saves time as everyone in the business is making decisions based on the same trusted business logic.
Using ad-hoc reporting, business users can explore their customized dashboards with confidence. They can analyze billions of records in seconds, and get granular, row-level answers. bipp’s data extraction is fast as the back-end table is used to fetch the data each time a query is executed.
Once the data model is created, business users can analyze the data independently, with bipp auto-generating the SQL. They can create dashboards, trust their visualizations and easily filter them in real-time. This means they’re making decisions based on the latest, real-time information.
Data Models Save Data Analysts’ Time and Help Business Users Quickly Create Ad Hoc Reports
bipp’s data modeling layer helps data teams use SQL to build a data dictionary based on key dimensions and metrics. This saves time as everyone in the business is making decisions based on the same trusted business logic.
Using ad-hoc reporting, business users can explore their customized dashboards with confidence. They can analyze billions of records in seconds, and get granular, row-level answers. bipp’s data extraction is fast as the back-end table is used to fetch the data each time a query is executed.
Once the data model is created, business users can analyze the data independently, with bipp auto-generating the SQL. They can create dashboards, trust their visualizations and easily filter them in real-time. This means they’re making decisions based on the latest, real-time information.
bipp makes real-time BI a reality to speed up decision-making. Want to try it out?
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