Average Ratings 1 Rating
Average Ratings 0 Ratings
Description
K2View believes that every enterprise should be able to leverage its data to become as disruptive and agile as possible.
We enable this through our Data Product Platform, which creates and manages a trusted dataset for every business entity – on demand, in real time. The dataset is always in sync with its sources, adapts to changes on the fly, and is instantly accessible to any authorized data consumer.
We fuel operational use cases, including customer 360, data masking, test data management, data migration, and legacy application modernization – to deliver business outcomes at half the time and cost of other alternatives.
Description
Eliminate all manual procedures, potential error sources, and inefficiencies. Avoid the need to constantly re-engineer your data warehouse with every shift in business requirements. Implement automatic quality checks both between and within data sources and respond swiftly when issues arise, which is essential for numerous data users. It’s important to genuinely trust your data now. Create a “gold record” reference point to ensure that business teams always have access to the most up-to-date information available. Establish one unified version of the truth that can be accessed anytime, anywhere. Develop an intermediate model that organizes, stores, and preserves your data independently of how it will be used. Be agile in responding to evolving data sources and business inquiries. Seamlessly connect all your data sources—from data lakes and operational systems to spreadsheets and legacy tools—just like you would with the initial one. Ensure data is stored, preserved, and enhanced in quality to streamline data warehouse automation processes. Data should be organized, enriched, and thoroughly documented so that it is accessible in well-structured datasets (information marts). In doing so, you pave the way for more efficient decision-making across the organization.
API Access
Has API
No
API Access
Has API
No
Integrations
Azure Marketplace
Yes
Google Sheets
No
Microsoft Excel
No
Microsoft Power BI
No
Model Context Protocol (MCP)
Yes
Qlik Data Integration
No
Salesforce
Yes
Tableau
No
Toucan
No
Integrations
Azure Marketplace
No
Google Sheets
Yes
Microsoft Excel
Yes
Microsoft Power BI
Yes
Model Context Protocol (MCP)
No
Qlik Data Integration
Yes
Salesforce
No
Tableau
Yes
Toucan
Yes
Pricing Details
No price information available.
Free Trial
Yes
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
Yes
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
Yes
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
Yes
Vendor Details
Company Name
K2View
Founded
2009
Country
United States
Website
k2view.com
Vendor Details
Company Name
dFakto
Founded
2000
Country
Belgium
Website
www.dfakto.com/datafaktory-data-warehouse-automation/
Product Features
Customer Data Platforms (CDP)
Behavioral Analytics
No
Campaign Management
No
Customer Profiles
No
Customer Segmentation
No
Data Integration
No
Data Matching
No
GDPR Compliance
No
Personalization
No
Predictive Modeling
No
Data Fabric
Data Access Management
No
Data Analytics
No
Data Collaboration
No
Data Lineage Tools
Yes
Data Networking / Connecting
Yes
Metadata Functionality
Yes
No Data Redundancy
No
Persistent Data Management
No
Data Governance
Access Control
No
Data Discovery
No
Data Mapping
No
Data Profiling
No
Deletion Management
No
Email Management
No
Policy Management
No
Process Management
No
Roles Management
No
Storage Management
No
Data Management
Customer Data
No
Data Analysis
No
Data Capture
No
Data Integration
Yes
Data Migration
Yes
Data Quality Control
No
Data Security
No
Information Governance
No
Master Data Management
Yes
Match & Merge
No
Data Preparation
Collaboration Tools
No
Data Access
No
Data Blending
No
Data Cleansing
No
Data Governance
No
Data Mashup
No
Data Modeling
No
Data Transformation
No
Machine Learning
No
Visual User Interface
No
Data Privacy Management
Access Control
No
CCPA Compliance
No
Consent Management
No
Data Mapping
No
GDPR Compliance
No
Incident Management
No
PIA / DPIA
No
Policy Management
No
Risk Management
No
Sensitive Data Identification
No
GDPR Compliance
Access Control
No
Consent Management
No
Data Mapping
No
Incident Management
No
PIA / DPIA
No
Policy Management
No
Risk Management
No
Sensitive Data Identification
No
Integration
Dashboard
No
ETL - Extract / Transform / Load
Yes
Metadata Management
No
Multiple Data Sources
No
Web Services
No
iPaaS
AI / Machine Learning
No
Cloud Data Integration
No
Dashboard
No
Data Quality Control
No
Data Security
No
Drag & Drop
No
Embedded iPaaS
No
Integration Management
No
Pre-Built Connectors
No
White Label
No
Workflow Management
No
Master Data Management
Data Governance
No
Data Masking
No
Data Source Integrations
No
Hierarchy Management
No
Match & Merge
No
Metadata Management
No
Multi-Domain
No
Process Management
No
Relationship Mapping
No
Visualization
No
Product Features
Data Management
Customer Data
No
Data Analysis
No
Data Capture
No
Data Integration
No
Data Migration
No
Data Quality Control
No
Data Security
No
Information Governance
No
Master Data Management
No
Match & Merge
No