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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

Data Warehouse Studio empowers software architects, data modelers, and business analysts to play a direct role in the successful execution of data warehouse and business intelligence initiatives. Through its user-friendly graphical interface, these professionals can articulate business rules, data mappings, preferred coding standards, and various design components. Once these key requirements and technical specifications are input into the central repository of Data Warehouse Studio, the platform autonomously produces 99-100% of the necessary SQL and ETL code, thereby removing the necessity for manual coding. In fact, for the majority of projects, Data Warehouse Studio entirely eradicates the requirement for hand-coding SQL or ETL processes. As a design-time technology, Data Warehouse Studio offers a unified platform that facilitates all participants in the project to efficiently document requirements and technical specifications. This collaborative feature enhances communication among team members, streamlining the overall development process.

Description

IBM's industry data model serves as a comprehensive guide that incorporates shared components aligned with best practices and regulatory standards, tailored to meet the intricate data and analytical demands of various sectors. By utilizing such a model, organizations can effectively oversee data warehouses and data lakes, enabling them to extract more profound insights that lead to improved decision-making. These models encompass designs for warehouses, standardized business terminology, and business intelligence templates, all organized within a predefined framework aimed at expediting the analytics journey for specific industries. Speed up the analysis and design of functional requirements by leveraging tailored information infrastructures specific to the industry. Develop and optimize data warehouses with a cohesive architecture that adapts to evolving requirements, thereby minimizing risks and enhancing data delivery to applications throughout the organization, which is crucial for driving transformation. Establish comprehensive enterprise-wide key performance indicators (KPIs) while addressing the needs for compliance, reporting, and analytical processes. Additionally, implement industry-specific vocabularies and templates for regulatory reporting to effectively manage and govern your data assets, ensuring thorough oversight and accountability. This multifaceted approach not only streamlines operations but also empowers organizations to respond proactively to the dynamic nature of their industry landscape.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

No details available.

Integrations

No details available.

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

Gamma Systems

Founded

2001

Country

United States

Website

www.gamma-sys.com/products/gamma-data-warehouse-studio/

Vendor Details

Company Name

IBM

Founded

1911

Country

United States

Website

www.ibm.com/analytics/industry-models

Product Features

Big Data

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

Integration

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

Product Features

Data Warehouse

Ad hoc Query
Analytics
Data Integration
Data Migration
Data Quality Control
ETL - Extract / Transfer / Load
In-Memory Processing
Match & Merge

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