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Single View

👁️Single View

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Also known as: 360 degrees View, Single Customer View

A consolidated, consistent enterprise perspective of an entity assembled from multiple systems for analytics and operations.

DESCRIPTION

Single View presents a unified profile of an entity, such as a customer or product, drawing from multiple sources. It can be materialized (e.g., in a warehouse) or virtualized via federation. Identity resolution, golden records, and harmonized keys ensure consistency. Single views power personalization, service experiences, and regulatory responses. Governance enforces transparency, consent, and update strategies.

ALTERNATIVE DEFINITIONS

Wikipedia

A single customer view (SCV) is an aggregated, consistent and holistic representation of the data known by an organisation about its customers.

Specifies aggregation and consistency across an organization’s systems.

Source

Salesforce Help

Customer 360 helps you connect and manage customer data to build a complete view of every customer.

Vendor framing of connected data to build comprehensive customer profiles.

Source

Single Source of Truth Master Data Customer 360 Data Virtualization Data Warehouse Data Lakehouse Master Data Management Identity Resolution Customer Data Platform Trusted Source

COMPETING TERMS

Siloed Views Fragmented Profiles

RELATIONS

KNOWLEDGE AREAS

Data Products Data Management Data Warehousing & BI Data Integration & Interoperability Data Architecture

TARGET AUDIENCE

BI Specialist Data Analyst Data Scientist AI Product Manager Data Architect Data Steward

EXTERNAL SOURCES

TOP QUESTIONS

How is a Single View built?

By unifying identifiers, applying golden records, harmonizing schemas, and materializing or virtualizing profiles.

Category: Example

What is the benefit of Single View?

It enables personalized experiences, consistent reporting, and streamlined service interactions.

Category: Relevancy

How does Single View differ from a Golden Record?

A golden record is the canonical entity core; a single view composes that core with additional contextual data.

Category: Misunderstanding

What are common pitfalls?

Weak identity resolution, stale data, and ignoring consent/privilege constraints.

Category: Mistakes

How is privacy handled in Single View?

Consent, data minimization, and purpose limitation govern what is included and shown.

Category: Requirements

What architectures support Single View?

Data warehouses, lakehouses, CDPs, and virtualization layers support unified views.

Category: Topic

Who maintains Single View quality?

Data Stewards and product teams monitor freshness, completeness, and identity resolution efficacy.

Category: Management

How is Single View consumed?

Through APIs, analytics models, dashboards, and operational applications.

Category: Example

What is a sign Single View is working?

Reduced duplicates, improved conversion or service metrics, and faster issue resolution.

Category: Example