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Average Ratings 0 Ratings
Description
A comprehensive data design solution allows for the exploration, modeling, connection, standardization, and integration of various data assets scattered across the organization. IBM InfoSphere® Data Architect serves as a collaborative tool for enterprise data modeling and design, streamlining integration efforts for business intelligence, master data management, and service-oriented architecture projects. This solution facilitates collaboration with users throughout the entire data design journey, encompassing project management, application design, and data design phases. It aids in aligning processes, services, applications, and data architectures seamlessly. With features that support straightforward warehouse design, dimensional modeling, and effective change management, it significantly shortens development time while equipping users to design and oversee warehouses based on an enterprise logical model. Additionally, the implementation of time-stamped, column-organized tables enhances the comprehension of data assets, leading to improved efficiency and faster time to market. Ultimately, this tool empowers organizations to harness their data more effectively, driving better decision-making processes.
Description
IBM InfoSphere® QualityStage® is tailored to enhance your efforts in data quality and information governance. This tool allows for thorough investigation, cleansing, and management of data, ensuring a unified perspective on essential entities like customers, suppliers, locations, and products. It proves invaluable for enhancing data quality across various projects such as big data, business intelligence, data warehousing, application migration, and master data management. Additionally, it is compatible with IBM System z®. The solution offers features such as data profiling, standardization, probabilistic matching, and data enrichment, which collectively bolster cross-organizational support for information governance practices. By employing comprehensive data profiling and analytical techniques, users can gain insights into the quality, structure, and content of their tables and files. This includes various analytical methods such as column analysis, data classification, data quality scoring, relationship evaluation, multicolumn primary key analysis, and overlap analysis. Ultimately, IBM InfoSphere® QualityStage® empowers organizations to maintain high data integrity and fosters better decision-making across the board.
API Access
Has API
API Access
Has API
Integrations
Git
IBM Cloud Databases
IBM Db2
IBM InfoSphere Data Replication
IBM Informix
IBM Rational Build Forge
Microsoft Teams
MySQL
Oracle Cloud Infrastructure
SQL Query Tuner
Integrations
Git
IBM Cloud Databases
IBM Db2
IBM InfoSphere Data Replication
IBM Informix
IBM Rational Build Forge
Microsoft Teams
MySQL
Oracle Cloud Infrastructure
SQL Query Tuner
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
IBM
Founded
1911
Country
United States
Website
www.ibm.com/in-en/products/infosphere-data-architect
Vendor Details
Company Name
IBM
Founded
1911
Country
United States
Website
www.ibm.com/products/infosphere-qualitystage
Product Features
Enterprise Architecture
Application Portfolio Management
Architecture Governance
Capability Mapping
Diagramming
Idea Management
Modeling & Simulation
Project Management
Risk Assessment
Transformation Roadmapping
Version Control
Product Features
Data Management
Customer Data
Data Analysis
Data Capture
Data Integration
Data Migration
Data Quality Control
Data Security
Information Governance
Master Data Management
Match & Merge