Name: K2View Customer Data Hub
Author: K2View

Communications Outsourcing

Customer Success

Help Desk

Web and Video Conferencing

Customer Support

Image Recognition

Java Technologies

Software Repositories

Development

Business Intelligence (BI)

Collaboration

Contract Management

Electronic Signature

Interactive Voice Response (IVR)

Supply Chain Management

Enterprise

Accounting

Finance and Accounting

Applicant Tracking

Benefits Administration

Corporate Learning Management

Credentialing

HR Management

Payroll

Talent Intelligence

Talent Management

Workforce Analytics

Workforce Management

Human Resources

Cloud Brokers

Cloud Storage

Data Center Infrastructure Management

Data Center Outsourcing (USA)

Data Mapping

Data Observability

Data Privacy Management

Fraud Detection

Governance, Risk & Compliance

Hyper-Converged Infrastructure

IT Asset Disposal

IT Asset Management

Integration Platform as a Service (iPaaS)

Log Management

Network Performance Monitoring

Operating Systems

Packet Analyzer

Single Sign-On

Smart Contracts

Software Defined Storage (SDS)

Software Distribution

Solid State Drives

Tape Storage

Unified Endpoint Management (UEM)

Virtual Private Cloud (VPC)

Information Technology

A/B Testing

Ad Serving & Retargeting

All-in-One Marketing

Content Management

Digital Content Creation

Digital Signage

Email Management

Email Marketing

Marketing Automation

Social Media Management

Survey & Forms Building

Video Collaboration

Web Analytics

Marketing

Meeting Room Booking

Project Management

Professional Services

Customer Relationship Management (CRM)

Sales Acceleration

Sales

Animation

Building Information Modeling (BIM)

Equipment Rental

Insurance Suites

Investment Portfolio Management

Legal Billing

Public Sector Software

Tax Practice Management

Vertical-Specific

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K2View's Customer Data Hub is a solution designed to unify fragmented customer data
into a real-time, cross-enterprise Customer Data Hub, and aims to displace Customer Data Platforms (CDP).

Oracle CX Marketing (formerly Oracle Marketing Cloud) is a solution designed to enable marketers to plan and execute automated marketing campaigns via email, display search, video advertising, and mobile while delivering a personalized customer experience for their prospects.

Klaviyo

K2View Customer Data Hub

Customer Data

<div><p>At K2View, we believe that every enterprise should be able to leverage its data to become as disruptive and agile as the best companies in its industry. </p></div><div><p> </p></div><div><p>We make this possible through our patented Data Product Platform, which creates and manages a complete and compliant dataset for every business entity – on demand, and in real time. The dataset is always in sync with its underlying sources, adapts to changes in the source structures, and is instantly accessible to any authorized data consumer.  </p></div><div><p> </p></div><div><p>Data Product Platform fuels many operational use cases, including customer 360, data masking, data tokenization, test data management, data migration, legacy application modernization, data pipelining and more – to deliver business outcomes in less than half the time, and at half the cost, of any other alternative. </p></div><div><p> </p></div><div><p>The platform inherently supports modern data architectures – data mesh, data fabric, and data hub – and deploys in cloud, on-premise, or hybrid environments. </p></div>

K2View

Customer Data Management

Allows customer data platforms (CDPs) to function as a central hub and single source of truth for customer data.

Account Scoring

This may include scoring for leads, customer accounts, buying intent, and personas.

Customer Data Governance

Includes consent management to comply with GDPR and data privacy standards as well as protect PII information.

Data Connectors

Functionality that enables users to forward or syndicate data to other platforms or systems and connect to internal or external services using APIs.

Data Enhancement

Includes bulk or automated data cleansing, appending missing data from contact lists and inbound leads, and the ability to process data with an optimized number of fields.

Data Ingestion

The ability to collect, validate, standardize, and map customer data from first or third-party sources.

Data Storage

Data consolidation and warehousing capabilities.

Data Visibility

The ability to visualize usage and account data, including funnel and pipeline and front and back-end visibility.

Event Data

Refers to the overall quality and tracking of cross-channel event data linked to actions taken by specific user accounts.

Identity Resolution

Leverages centralized data flow to identify and sync leads, prospects, and customer accounts and deduplicate user information while addressing issues such as third-party cookie deprecation.

Audience Segmentation & Targeting

A set of tools used for website optimization experiments (e.g. A/B, A/B/n, funnel, split URL, multivariate tests) that can help users segment their audience in to different groups for the purpose of exposing specific audiences to tests or personalization efforts.

Standard visitor segmentation

Ability to segment, or target audiences based on criteria you set (e.g. URL, cookies, IP address, custom javascript, traffic source, device, browser, language, ad campaign, geo-targeting, time of day) and enable tests to run for specific visitor segments.

Behavioral visitor segmentation

Ability to segment, or target audiences based on whether or not they have performed certain actions, such as clicking on a CTA, and enable tests to run for specific visitor segments.

Traffic allocation control

Ability to set what percentage of website traffic receives specific test variants in order to roll out code only to a subset of site visitors.

Website personalization

Ability to optimize user experience for individual site visitors based on certain characteristics and past actions (e.g. past purchases, geolocation, demographics, device type, referral source, etc..). An example of this is product and/or content recommendations based on visitor characteristics.

Tag Management

Tag library

The software natively supports a variety of vendors, including the most important or common ones such as Google and Adobe.

Tag variable mapping

The software allows users to manipulate data and map it to known variables in the tag without custom development.

Ease of writing custom tags

The software allows users to create and implement custom tags when a certain tag is not among the available templates.

Rules-driven tag execution

The software allows for flexible tag firing based on multi-part load rules, as well as tag sequencing and dependencies.

Tag performance monitoring

The software tracks things like tag load time, blocking tags, uptime / response time, and tag killing, and sends alerts.

Page load times

The tag management software has helped improve page load speeds.

Mobile app tagging

The software can manage tags for mobile apps as well as websites.

HTML5 support

Custom tags (parameters)

Provides custom tagging capabilities through parameters.

Custom tags through JavaScript/HTML own tags

Synchronous tag support

Asynchronous tag support

Auto-detect tag from code snippet

Auto-detecting of tags from code snippets.

Automatic tag compression

Library of JavaScript extensions

The software offers a library of pre-built JavaScript functions for use with tags and load rules for data manipulation, UI functionality or data collection.

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Customer Data Platforms (CDP)

K2View Customer Data Hub

Overview

What is K2View Customer Data Hub?