Platform Module · Core Infrastructure
Capture every customer signal into one controlled, normalized layer.
Data Ingestion & Integrations connects apps, web, transactions, stores, wallets, CRM, campaigns, and partner systems into a single governed pipeline — normalized, quality-checked, and ready for identity resolution and activation.
Direct answer
Data Ingestion & Integrations is the module that captures customer signals from every source — apps, web, POS, wallets, CRM, campaigns, and partner systems — and normalizes them into one controlled, quality-checked layer ready for identity resolution and activation, including private connectors for systems that cannot be exposed to the public internet.
What it is
The module, and the problem it solves.
Data Ingestion & Integrations
A streaming and batch ingestion layer with schema normalization, quality checks, and a connector framework. It handles SDK, API, file, and database sources, and supports private, VPN, and on-prem connections for regulated systems.
Why it matters
Enterprise sources are fragmented, old, and often private. Lightweight cloud-only connectors cannot reach them safely, so data either never arrives or arrives inconsistent and unusable.
Who uses it
The teams that operate this module.
Data engineering
Build and operate connectors, schemas, and quality rules.
Integration teams
Connect legacy, private, and partner systems under security review.
Platform owners
Govern source onboarding and pipeline reliability.
Analytics
Depend on normalized, trustworthy inputs.
How it works
From inputs to governed output.
Connect
Onboard SDK, API, file, database, and partner sources, including private networks.
Normalize
Map sources to a common schema with type and format handling.
Validate
Apply quality, completeness, and freshness checks.
Publish
Feed clean events to identity, profiles, and activation in near real-time.
Data inputs
What the module runs on.
App & web events
SDK and tag events from storefronts and apps.
Transactions
Orders, payments, and POS records.
CRM & loyalty
Existing customer systems and membership data.
Campaign signals
Owned and paid messaging exposure and response.
Partner & legacy
Private databases, files, and partner feeds.
Catalog
Product and category metadata where relevant.
Operator view
What operators do here.
Onboard sources
Configure connectors and credentials under governance.
Manage schemas
Define and version normalization mappings.
Set quality rules
Enforce completeness, format, and freshness checks.
Monitor pipelines
Track throughput, latency, and error rates.
Outputs
What the module produces.
Normalized events
Clean, schema-consistent signals for the platform.
Quality signals
Validation and freshness indicators per source.
Source lineage
Where each signal came from, for governance.
Measurement
How success is measured.
Source coverage
Systems connected and signals captured.
Data freshness
Latency from event to availability.
Quality rate
Share of events passing validation.
Deployment considerations
How it deploys.
Control boundary
Deploys in your environment with private and on-prem connectors so sensitive sources never need public exposure. Supports streaming and batch modes. See Deployment and Trust & Security.
Works with the rest
This module is designed to run standalone or as part of the full Binoban operating layer. Explore the Platform overview to see how the layers connect.
Common questions
Answers for evaluators.
What can Binoban ingest?
Signals from apps, web, transactions, POS, wallets, CRM, campaigns, catalogs, and partner systems, via SDK, API, file, and database connectors, including private and on-prem sources.
Can it connect to private or legacy systems?
Yes. The connector framework supports private networks, VPNs, and on-prem databases so regulated systems are not exposed to the public internet.
Streaming or batch?
Both. Events can flow in near real-time or in scheduled batches depending on the source and use case.
See this module in your environment.
Tell us your data sources, scale, and the outcome you need. We'll map how Data Ingestion & Integrations fits your architecture and deployment model.