Zeaware
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Zeaware™ Customer Data Platform
Privacy enabled CDP for Golden Customer creation and segmentation
360-degree Customer View

A 360-degree view of the customer is essential for businesses, to understand their customers and respond effectively to changing needs and opportunities.

Common problems faced by businesses include:

  • Data Fragmentation
  • Incomplete Customer Profiles
  • Inefficient Data Linking
  • Inconsistent Data Quality
  • Privacy Compliance & Consent Management
  • Limited Customer Insights

Zeaware CDP is designed to unify customer data, consent and privacy controls. It is a “Hybrid” CDP, providing source of truth for Golden Customer records, but leverages data from existing data warehouses, applications, databases etc.


AI Enabled Customer Cleaning & Golden Customer Identification
Composable CDP Data & Privacy Platform
AI Powered Data Cleaning

Zeaware Gen AI feature is optimised for detection of key customer details including person & company details.

Clean messy data by converting free text into structured information.


Privacy & Consent Management

Track the opt-in and opt-out of customer consent for email marketing and data use permission.

Enforce compliance through use of privacy gates, controlling how customer data is exported to downstream systems based on data usage requirements.

Measure & Segment

Define key measures of customer performance leveraging data contained within existing applications, data warehouses and data lakes.

(e.g. CLV, transaction size, last interaction, last purchase)

Create segmentations that group similar customers for the purpose of detailed analysis or personalised offers or service.

(e.g. RFML, high value, churn risk)
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Visual Data Lineage

Visual representation of how the golden customer record has been formed, providing a visual trace from source and any matching and mapping rules applied.

Data Quality Management

Measure and improve data quality with automated quality scoring and powerful data cleaning capabilities including AI enabled cleaning.

Retain Control of Your Data

Deployed to your cloud tenant, your customer data remains under your control and is not passed to Zeaware or any third party.

Golden Customer Record

Provide the source of truth for customer records, consolidating customer information from disparate systems to form the "golden record".

Data Import/Export

Support for a variety of data sources for importing and exporting data, including databases, data lakes and application connectors.

Definable Measures

Define key metrics to measure customer performance by leveraging key data within existing systems such as applications, data warehouses and data lakes (e.g. CLV,  Purchase Frequency, Basket Size, Last Interaction etc.).

Privacy Management

Managed opt-in customer consent and link to customer records.  Implement privacy gateways which control what data is exported based on agreed and require data use.

Customer Profile Unification

Unify customer details from multiple source systems using a programmable framework for data matching and merging, allowing complex business rules to be easily defined.

Segmentation

Create customer segmentations to group together customers with similar characteristics for the purpose of analysis and personalization.

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Full Feature List

Features

Visual Data Lineage

Visual representation of how the golden customer record has been formed, providing a visual trace from source and any matching and mapping rules applied.

Data Quality Management

Measure and improve data quality with automated quality scoring and powerful data cleaning capabilities including AI enabled cleaning.

Retain Control of Your Data

Deployed to your cloud tenant, your customer data remains under your control and is not passed to Zeaware or any third party.

Golden Customer Record

Provide the source of truth for customer records, consolidating customer information from disparate systems to form the "golden record".

Data Import/Export

Support for a variety of data sources for importing and exporting data, including databases, data lakes and application connectors.

Definable Measures

Define key metrics to measure customer performance by leveraging key data within existing systems such as applications, data warehouses and data lakes (e.g. CLV,  Purchase Frequency, Basket Size, Last Interaction etc.).

Privacy Management

Managed opt-in customer consent and link to customer records.  Implement privacy gateways which control what data is exported based on agreed and require data use.

Customer Profile Unification

Unify customer details from multiple source systems using a programmable framework for data matching and merging, allowing complex business rules to be easily defined.

Segmentation

Create customer segmentations to group together customers with similar characteristics for the purpose of analysis and personalization.

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