Audience

Data analysts and business experts

About K2View

K2View provides an operational data fabric dedicated to making every customer experience personalized and profitable.

The K2View platform continually ingests all customer data from all systems, enriches it with real-time insights, and transforms it into a patented Micro-Databaseâ„¢ - one for every customer. To maximize performance, scale, and security, every micro-DB is compressed and individually encrypted. It is then delivered in milliseconds to fuel quick, effective, and pleasing customer interactions.

K2View products include:

• Data Fabric Software
• Test Management Tools
• Data Preparation Software

Global 2000 companies – including AT&T, Vodafone, Sky, and Hertz – deploy K2View in weeks to deliver outstanding multi-channel customer service, minimize churn, achieve hyper-segmentation, and assure data compliance.

Integrations

See Integrations

Ratings/Reviews - 1 User Review

Overall 3.0 / 5
ease 4.0 / 5
features 5.0 / 5
design 5.0 / 5
support 4.0 / 5
More Reviews Write a Review

Company Information

K2View
Founded: 2009
United States
k2view.com

Videos and Screen Captures

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Product Details

System Requirements

SaaS

Training

Documentation
Webinars
In Person

Support

Business Hours
Online

help_center_black_24dp K2View Frequently Asked Questions

Q: What kinds of users and organization types does K2View work with?
Q: What languages does K2View support in their product?
Q: What kind of support options does K2View offer?
Q: What other applications or services does K2View integrate with?
Q: What type of training does K2View provide?

K2View Product Features

Big Data

Data Cleansing
Data Mining
Data Visualization
Data Warehousing
Collaboration
Data Blends
High Volume Processing
No-Code Sandbox
Predictive Analytics
Templates

Business Intelligence

Data Analysis
Ad Hoc Reports
Benchmarking
Budgeting & Forecasting
Dashboard
Key Performance Indicators
Natural Language Generation (NLG)
Performance Metrics
Predictive Analytics
Profitability Analysis
Strategic Planning
Trend / Problem Indicators
Visual Analytics

Customer Data Platform

Customer Segmentation
Data Integration
Data Matching
GDPR Compliance
Personalization
Behavioral Analytics
Campaign Management
Customer Profiles
Predictive Modeling

Data Analysis

Data Discovery
Data Visualization
High Volume Processing
Predictive Analytics
Regression Analysis
Sentiment Analysis
Statistical Modeling
Text Analytics

Data Fabric

Data Lineage Tools
Data Networking / Connecting
Metadata Functionality
Data Access Management
Data Analytics
Data Collaboration
No Data Redundancy
Persistent Data Management

Data Governance

Data Mapping
Data Profiling
Deletion Management
Process Management
Access Control
Data Discovery
Email Management
Policy Management
Roles Management
Storage Management

Data Management

Data Integration
Data Migration
Data Security
Information Governance
Master Data Management
Customer Data
Data Analysis
Data Capture
Data Quality Control
Match & Merge

Data Management Platforms (DMP)

Data Visualization
Ad Network Integration
Analytics / ROI Tracking
Audience Targeting
Behavioral Analytics
CRM
Campaign Management
Competitive Analysis
Customer Journey Mapping
Data Capture / Transfer
Data Classification

Data Preparation

Collaboration Tools
Data Access
Data Cleansing
Data Governance
Data Modeling
Data Transformation
Data Blending
Data Mashup
Machine Learning
Visual User Interface

Data Visualization

Content Management
Dashboard Creation
Relational Display
Analytics
Filtered Views
OLAP
Simulation Models
Visual Discovery

Integration

ETL - Extract / Transform / Load
Metadata Management
Multiple Data Sources
Dashboard
Web Services

Master Data Management

Data Governance
Data Masking
Data Source Integrations
Hierarchy Management
Match & Merge
Multi-Domain
Process Management
Visualization
Metadata Management
Relationship Mapping

Test Management

Automation Integration
Requirements Management
Test Scheduling
Test Tracking
Collaboration Tools
Pass/Fail Results Tabulation
Reporting / Analytics
Time/Budget Tracking

Reviews

Write a Review
  • Amiel S.
    Test Automation & QA
    Used the software for: 1-2 Years
    Frequency of Use: Daily
    User Role: Deployment
    Company Size: 26 - 99
    Design
    Ease
    Features
    Pricing
    Support
    Probability You Would Recommend?
    1 2 3 4 5 6 7 8 9 10

    "Considaring k2view fabric as data integration & performance solution"

    Posted 2019-11-21

    Pros: 1.Great integration fast 1-2 months instead of a year .
    2.good performance due to clustering(cassandra)
    3.In memory data management
    4. Standard SQL to query data
    5.Good scalability
    6.New and efficient ETL solution

    Cons: 1.solution cost at least 1M $!
    2.k2view uses it's own deployment team.

    Overall: I worked on k2view for 2 years on the R&D team as QA & Automation & Devops

    Read More...
    Review Source: SourceForge
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