Connect for infinite reach
Discover award-winning data integration
The Connector Module is a universal adapter, linking all data sources. This stage merges all your intelligence into a unified ecosystem. Byanat’s award-winning data processor handles this step—the core of integration—with near-perfect precision.
Harness the data distribution matrix
Access superior intelligence through Byanat’s Data Distribution Matrix, our award-winning data synthesiser. Put simply, this technology optimises data’s journey from raw inputs to actionable insights.
Start the ripple effect
digital intelligence
Connect to Byanat’s ecosystem—the first ripple in a wave of activities that amplify intelligence.
Sway the liquidity of data
easy in, easy out
Access reliable insights as the Data Distribution Matrix turns intelligence into efficient solutions.
Explore the unseen data journey
Follow the meta-stages of integration
Data’s back-end journey is a highly nuanced process involving numerous mico-steps that transform raw inputs into insights. Every algorithmic detail matters, shaping results that others may take for granted.
See what flows beneath
Similar to how users navigate through six front-end modules, there are various back-end modules at work, priming the data to become KPIs.
Imagine the invisible
When data first enters the system, it undergoes complex meta-stages of cleansing, validation and restructuring.
Uncover the mechanics
The engineer collaborates with the data steward to build and manage these meta-stages.
Track data’s integration journey
Byanat’s Data Distribution Matrix functions as a data assembly system, using targeted cleansing and sorting cycles to prepare data for different destinations.
Data lake
A deep, flexible storage pool for all kinds of data until it’s needed.
Data vault
A secure storage system for data with historical tracking.
Data stage
A temporary area where data is processed and structured.
Data warehouse
The central repository for structured data.
Data archive
A long-term storage area for historical data.
Data disposal
A secure disposal system for deleting or purging data.
Visualise the entire intelligence cycle
Discover the front-end journey of how data creates logical, productive workflows. This process reduces data fatigue by eliminating redundancies and unreliable insights.
Here’s an overview:
Collect
Gathers data from sensors, files, and legacy systems.
Ingest
Filters data through various cycles of cleansing and sorting.
Consolidate
Removes faulty inputs and organises usable data.
Aggregate
Turns metrics into custom KPIs for insight generation.
Automate
Catalogues the data for entry into the workflow.
Curate the ideal data catalog
The catalogue is the final destination for data during integration. Once data is loaded and organised in the catalogue, it is ready for dispatch and discovery.