Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
IBM Engineering Lifecycle Management (ELM) serves as a cutting-edge, all-inclusive engineering solution, effectively guiding users through every stage from requirements gathering to systems design, workflow, and testing management, while enhancing the capabilities of ALM tools to support intricate systems development. By embracing a holistic perspective throughout the product lifecycle and establishing a robust digital infrastructure for data traceability, organizations can efficiently monitor changes, thereby mitigating risks and lowering expenses.
Tackle the intricacies of engineering from conceptual design to final execution, foster collaboration among teams through a cohesive digital thread, utilize modeling and reuse strategies, capitalize on insights derived from automated reporting, and confidently scale operations to create a robust foundation for continuous innovation.
The interlinked data within the digital thread will provide a unified source of truth, empowering functional, software, mechanical, and electrical engineering disciplines to work in harmony. This interconnected approach not only streamlines processes but also enhances the overall efficiency and effectiveness of the engineering lifecycle.
Description
DataOS, the flagship product of The Modern Data Company, transforms the way organizations manage, unify, and activate their data at scale by converting raw information into governed, reusable, and AI-compatible data products that enhance insights and decision-making without hindering team productivity. This innovative system provides a flexible, open framework that integrates seamlessly with existing data infrastructures, enabling businesses to find and utilize reliable data products equipped with comprehensive policies, clear ownership, traceability, and a universal semantic layer that standardizes metrics and definitions across various domains. By minimizing complexity and hidden expenses, DataOS accelerates the journey to realizing value from data. Additionally, it offers powerful discovery and search functions, allowing users to navigate through a collection of curated, business-ready data products organized by domain or use case, while also incorporating global metrics and lifecycle management to track the usage, performance, adoption, and return on investment of data products throughout their entire lifecycle. As a result, organizations can make more informed decisions faster, ultimately leading to improved business outcomes.
API Access
Has API
API Access
Has API
Integrations
Amazon Web Services (AWS)
Angular
Databricks
Google Cloud Platform
Jupyter Notebook
Microsoft Azure
Microsoft Excel
Planview Hub
React
Salesforce
Integrations
Amazon Web Services (AWS)
Angular
Databricks
Google Cloud Platform
Jupyter Notebook
Microsoft Azure
Microsoft Excel
Planview Hub
React
Salesforce
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/products/engineering-lifecycle-management
Vendor Details
Company Name
The Modern Data Company
Founded
2019
Country
United States
Website
www.themoderndatacompany.com
Product Features
Application Lifecycle Management
Administrator Level Control
Defect Tracking
Iteration Planning
Project Management
Release Management
Requirements Review
Task Management
Test Case Tracking
User Level Management
Version Control
Product Management
Collaboration
Feedback Collection
Idea Management
Milestone Tracking
Prioritization
Product Roadmapping
Release Management
Requirements Management
Resource Management
Workflow Management
Requirements Management
Automated Functional Sizing
Automated Requirements QA
Automated Test Generation
Automated Use Case Modeling
Change Management
Collaboration
History Tracking
Prioritization
Reporting
Status Reporting
Status Tracking
Summary Reports
Task Management
To-Do List
Traceability
User Defined Attributes
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