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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

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

Screenshots View All

Screenshots View All

Integrations

Amazon Web Services (AWS)
Angular
Databricks
Google Cloud Platform
Jupyter Notebook
Microsoft Azure
Microsoft Excel
Planview Hub
React
Salesforce
Snowflake
Tableau

Integrations

Amazon Web Services (AWS)
Angular
Databricks
Google Cloud Platform
Jupyter Notebook
Microsoft Azure
Microsoft Excel
Planview Hub
React
Salesforce
Snowflake
Tableau

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

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