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/ Case Study · Information Technology
A Smart, Powerful SaaS BI Application for Business Profitability. Data that Decides Faster.
/ The engagement
Venn Diagrams, Predictive Analytics, and Real-time Data.
A SaaS reporting platform for any industry that generates resizable, animated Venn diagrams, predicts what may happen from aggregated history, lets users zoom from graph to data segment, and returns lightning-fast results with ElasticSearch.
/ About the client
The client is a serial entrepreneur with a vision to empower every business with cutting-edge business intelligence tools. He partnered with Brainvire to turn that vision into a SaaS solution for industries like automotive, retail, and healthcare.
The platform is a powerful reporting tool for any industry, built by Brainvire's data scientists and in-house experts. It generates resizable, animated Venn diagrams, predicts future outcomes from aggregated history, and reflects every database change in real time.
/ The approach
Design, architecture, and features, shipped as one program.
Up to five-way
Defined SVG paths act as boundaries for each region, generating Venn diagrams with up to 32 intersecting regions that resize and recolor dynamically.
Sized to the data
Complex algorithms resize and color the graphs proportionally as the density of data rises or falls, in real time.
Modeled for speed
Data modeling in MongoDB reflects changes quickly, so users never wait long even when the graph carries massive volumes of data.
Reflected instantly
MongoDB Change Streams with Socket.io push every update, add, replace, and delete from the database into the user interface in real time.
/ What stood in the way
Four problems, solved without a maintenance window.
Select a challenge to see how it shaped the build.
Venn diagrams up to five-way
Diagrams needed up to 32 intersecting regions that resize and recolor. We defined SVG paths as boundaries for each individual region.
Real-time variation of graphics
Graphs had to vary in size and color with data density. We built complex algorithms that resize and color them proportionally in real time.
Handling massive data volumes
Huge data on the graph needed a systematic approach. We modeled data in MongoDB efficiently so changes reflect quickly without a long wait.
Real-time reflection of changes
Every database change had to reach the UI live. We used MongoDB Change Streams with Socket.io to reflect updates, adds, replaces, and deletes in real time.
/ Product screens
The delivered experience.
The interface people actually use.
/01Dashboard
/02Venn Diagram
/03Graphs
/04Data Segments
/05Forecast/ The results
What changed, in numbers.
/ Next step
Ready for a redesign like this on your platform?
A 30-minute working session with a Brainvire architect: your current stack, your constraints, and where a rebuild actually pays off. No sales deck.
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