Customer 360 Data Platform.

The all-in-one customer data hub that connects and unifies
fragmented data into a real-time, trusted customer view

Conventional approaches such as CRM, CDP, MDM and data lakes have failed to deliver a true 360-degree view of the customer, because they:

Do not integrate the entire scope of customer data across transactions, interactions, and master data
Do not serve all business domains
Provide limited support for operational, real-time use cases
Do not address data governance
Are lengthy and costly to implement

Achieve customer 360 in weeks

Deliver fresh, clean, and complete customer data in real time, at massive scale

Real-time data integration

Customer data is integrated and unified, in real-time and code-free
Holistic view of the customer is comprised of all customer transactions, interactions, and master data
Customer data is continually synced based on your business needs

100s of connectors to all data sources

Out of the box connectors to all your data source systems
Relational and non-relational databases, legacy systems, SaaS applications, Web Services, files, etc.
Connectors are extensible via Java

Code-free data transformation and data delivery

Built-in, no-code tools to define, test, and debug data transformations, with dozens of prebuilt functions
No-code web service generator, providing an API to customer data in any required response structure
Customer data is also accessible via SQL, JMS, CDC, and Kafka

Customer golden record

Customer data is matched, cleansed, and normalized into a complete golden record, in real time
Configurable “Golden Record” rules are implemented to match customers to a hierarchy, such as ‘Banking Household’ in real-time

Built-in data governance

Dynamic data masking and consent management for data privacy compliance
Data quality and compliance enforced on the fly to ensure that customer data is trustworthy
Token-based RBAC (Role Based Access Control) ensures customer data is only accessible to authorized data consumers

Open, modular, flexible

Open platform integrates with your data infrastructure
Deploys in a data fabric architecture, data mesh architecture, or as a data hub.
Deploys in cloud, on-premise, or hybrid environments.

A Voda confidence

Ralf Hellebrand

Programme Director, Technology, Vodafone Germany

See how Vodafone implemented the K2view platform for multiple use cases, including Customer Data Hub and Test Data Management, to deliver strategic business outcomes across its operations.

Our Patented Approach

One Micro-Database
for each individual customer

We create and manage the dataset for every individual customer in its own high-performance, compressed, and encrypted Micro-Database
Customer data is organized around business entities – easily understood by data consumers
Each entity's data is unified, cleansed, and organized - always ready for trusted use
Customer data is accessible in milliseconds. Ideal for real-time operational use cases
Single point of access in any method, using RBAC. Easy to access and always fresh
Built-in data governance - data quality and compliance are enforced on the fly by the data product, to ensure that customer data is trustworthy.
Customer data can be virtualized, persisted or both - based on business needs - and requires minimal, commodity hardware

What our customers say

Vodafone leverages the Customer Data Hub to deliver a single 360 view of the customer, creating a unified customer experience across all customer touchpoints, enabling personalized campaign management in real time, and also to increase the first contact resolution rate.

Michael Voeller

Product Director (SAFe) Vodafone Germany

Our work with K2view has enabled Cellcom to meet and exceed the expectations of our customers.
We’re happy with what we have been able to accomplish with K2view at the core of our systems, and its ability to provide real-time information to all of our different data consumers.

Victor Malka

VP CIO, Cellcom

We’ve gone from 24+ hours for data updates to having data available in simply minutes or even seconds, boosting the customer experience and better supporting our customer care agents. We’re happy with how it is performing.

Marc Schmeetz

Program Manager, VodafoneZiggo

We needed to integrate and align customer data from across three distinct and different companies into a single customer data hub to power our Salesforce CRM. K2view Customer Data Hub simplified the complexity of integrating and unifying the data from our disparate systems

Ronen Horowitz

SVP and CIO, Pelephone, Yes, and Bezeq International

Why conventional approaches fail

Existing approaches to Customer 360 are generally centralized and rigid, limiting their ability to serve the needs of different business domains with
quick time-to-value, agility, and flexibility.

4 incomplete approaches:

Customer Relationship Management

CRM handles only the data it owns, primarily sales, marketing, and service data, while enterprises have dozens more systems with customer data

Customer 360 approaches - CRM

Master Data Management

MDM is focused on master data, with no support for the customer interaction and transaction data needed for a 360-degree view.

Customer 360 approaches - MDM

Customer Data Platform

CDP is a marketing tool used for segmentation and campaign management. It lacks support for transactional and master data in terms of data integration, data quality, data privacy, and governance.

Customer 360 approaches - CDP