Sources
Connection and provenance
Keep links between source, import, owner, time, version, and use scope.
NARI Data Bank
An intelligent data bank for sources, quality, policy, and orchestration.
NARI Data Bank organizes sources, flows, normalization, versions, access policy, and data quality so analytics and intelligence work from a reviewable layer instead of a chaotic file pile.
Sources
Normalization
Quality
Policies
Versions
Data Bank loop
connect databases, files, APIs, documents, streams, and domain stores
normalize entities, schemas, versions, provenance, and data quality
apply access, retention, cleaning, audit, and approval policies
prepare a reliable layer for analysis, search, intelligence, and decisions
Good analytics starts with a governed data layer.
Data layer
Data Bank separates governed data from information noise.
The platform is for organizations that need to know where data came from, how trustworthy it is, who can access it, and how it becomes working evidence.
Quality
Cleaning and normalization
Reduce duplication, errors, schema fragmentation, and uncertainty before analysis.
Policies
Access and governance
Connect data with access rights, audit, retention, sensitivity, and approval.
Preparation
Layer for intelligence
Prepare data for search, entity graphs, reporting, modeling, and decision support.
Data governance
Data Bank turns data into reviewable infrastructure.
An intelligence platform should know the provenance, version, quality, and trust boundary of every source.
Access policy and audit should be part of data work, not an afterthought.
Normalization and quality control reduce entropy before search, graph work, and modeling.
Data Bank is the foundation for NARI Intelligence Platform.