K Knowledge Base
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Key Concepts & Terminology

This page defines the core terms and concepts used throughout the K platform and this Knowledge Base. Familiarising yourself with these terms will help you get the most out of K.


Platform & Architecture

Term

Definition

K

The core KADA data knowledge platform — used for data discovery, knowledge management and data governance.

KDQ (KADA Data Quality)

KADA's data quality module, used to define, run and monitor data quality checks across your data estate.

K.ai

K's AI capabilities, including auto-generated descriptions and smart suggestions for glossary terms and metadata.

Collector

A KADA-provided Python library deployed by your team to extract and load metadata from data sources into K. Typically used for on-premise or restricted sources.

Extractor

The service used for connecting to, extracting and loading metadata and usage logs from data sources and tools directly into K.

Trust Score

A score calculated by K to reflect the relevance, freshness and quality of a data asset, used to rank search results.


Data Assets & Objects

Term

Definition

Data Asset

Any piece of data or content catalogued in K — including tables, columns, reports, dashboards, pipelines, code, and more.

Data Profile Page

The central page in K for a given data asset. Contains automated and manually curated metadata, lineage, usage, knowledge, issues, and data quality information.

Collection

A user-defined grouping of data assets. Collections are used to organise assets by domain, criticality, team, or any other meaningful category.

Collection Instance

A specific member or record within a Collection (e.g. a single Critical Data Element in a "Critical Data Elements" collection).

Reference Object

An object in K that provides context for a data asset — such as a glossary term, tag, or policy — used to describe, classify and link assets.

Lineage

The upstream and downstream relationships between data assets. K automatically detects and maps lineage across your data ecosystem.


Knowledge & Governance

Term

Definition

Glossary Term

A defined business or technical definition linked to one or more data assets to provide consistent meaning across the organisation.

Tag

A label applied to a data asset to classify or categorise it (e.g. PII, Sensitive, Finance). Tags can be applied manually or automatically via business rules.

PII (Personally Identifiable Information)

Data that can be used to identify an individual. K includes a built-in PII scanner to detect potential PII in your data estate.

Data Issue

A recorded problem with a data asset — such as a quality failure, incorrect value, or known defect. Issues can be tracked and managed directly in K.

Impact Assessment

An automated upstream and downstream analysis that helps assess the impact of a change to a data asset on dependent assets.


Users & Access

Term

Definition

Business User

A consumer of data products (reports, dashboards, analyses). Has read access to K content and can contribute knowledge.

Data Worker

A technical user who works with data day-to-day (e.g. data analyst, data engineer, data scientist).

Data Owner

A user accountable for the collection, handling and use of a data product or data domain.

Data Governance User

A user responsible for managing and governing the use, classification, description and access to data.

Data Manager

A user responsible for the oversight of data platforms and the data ecosystem. Has the highest level of access among non-admin roles.

Administrator

A platform admin with the ability to configure K, onboard new sources, manage users and change global settings.

Role Hierarchy

Roles in K are inherited — higher roles include the permissions of lower roles.


Platform Features

Term

Definition

Daily Briefing

A daily email from K summarising key updates in your data ecosystem that are relevant to your profile and the data assets you follow.

K Feed

A personalised feed on the K home page showing recent changes and updates across your data ecosystem.

Ask K

A self-service feature that allows users to ask natural language questions about their data ecosystem and receive data-driven answers.

Filters Page

A page in K where users can create, save and share reusable search filters.

Data Ecosystem

The section in K that lets you navigate and explore your organisation's complete data landscape.

My Workspace

A personalised view within the Data Ecosystem section showing how you specifically interact with the data estate.