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Average Ratings 0 Ratings

Total
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 No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Amazon Web Services (AWS) No 
Angular No 
Databricks No 
Google Cloud Platform No 
Jupyter Notebook No 
Microsoft Azure No 
Microsoft Excel No 
Planview Hub Yes 
React No 
Salesforce No 
Snowflake No 
Tableau No 

Integrations

Amazon Web Services (AWS) Yes 
Angular Yes 
Databricks Yes 
Google Cloud Platform Yes 
Jupyter Notebook Yes 
Microsoft Azure Yes 
Microsoft Excel Yes 
Planview Hub No 
React Yes 
Salesforce Yes 
Snowflake Yes 
Tableau Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version 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 

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 No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person No 

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 No 
Defect Tracking No 
Iteration Planning No 
Project Management No 
Release Management No 
Requirements Review No 
Task Management No 
Test Case Tracking No 
User Level Management No 
Version Control No 

Product Management

Collaboration No 
Feedback Collection No 
Idea Management No 
Milestone Tracking No 
Prioritization No 
Product Roadmapping No 
Release Management No 
Requirements Management No 
Resource Management No 
Workflow Management No 

Requirements Management

Automated Functional Sizing No 
Automated Requirements QA No 
Automated Test Generation No 
Automated Use Case Modeling No 
Change Management No 
Collaboration No 
History Tracking No 
Prioritization No 
Reporting No 
Status Reporting No 
Status Tracking No 
Summary Reports No 
Task Management No 
To-Do List No 
Traceability No 
User Defined Attributes 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 

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