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What is Modern DataOS?

DataOS, the premier offering from The Modern Data Company, revolutionizes how businesses handle, consolidate, and activate data on a large scale by transforming unprocessed information into governed, reusable, and AI-ready data products that bolster insights and enhance decision-making without compromising team efficiency. This cutting-edge platform offers a versatile, open architecture that integrates effortlessly with current data systems, allowing organizations to discover and employ trustworthy data products that come with detailed policies, established ownership, traceability, and a universal semantic layer that aligns metrics and definitions across different sectors. By reducing complexity and hidden costs, DataOS speeds up the process of extracting value from data. Furthermore, it includes robust discovery and search capabilities, enabling users to sift through a selection of curated, business-ready data products categorized by domain or application, and it also features global metrics and lifecycle management to monitor the usage, performance, adoption, and return on investment of data products throughout their entire lifespan. Consequently, organizations are empowered to make quicker, more informed decisions, ultimately resulting in enhanced business performance and competitive advantage. This transformative approach not only optimizes data utilization but also fosters a culture of data-driven decision-making within the organization.

What is IBM Engineering Lifecycle Management?

IBM Engineering Lifecycle Management (ELM) stands out as a state-of-the-art, comprehensive engineering solution, adeptly steering users through all phases, from gathering requirements to systems design, managing workflows, and overseeing testing, while simultaneously augmenting the functionality of ALM tools to cater to complex systems development. By adopting a comprehensive viewpoint throughout the product lifecycle and creating a solid digital framework for data traceability, organizations can effectively track changes, which helps in minimizing risks and reducing costs. Addressing the complexities of engineering from initial concepts to final implementation fosters team collaboration through a unified digital thread, encourages the use of modeling and reuse techniques, leverages insights from automated reporting, and enables scalable operations that lay a strong groundwork for ongoing innovation. The interconnected data within this digital thread will serve as a central source of truth, enabling various engineering fields—functional, software, mechanical, and electrical—to collaborate seamlessly. Such a cohesive methodology not only simplifies processes but also significantly boosts the overall efficiency and effectiveness of the engineering lifecycle, ultimately leading to superior project outcomes.

Media

Media

Integrations Supported

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

Integrations Supported

Planview Hub

API Availability

Has API

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub
Online Training

Training Options

Documentation Hub

Company Facts

Organization Name

The Modern Data Company

Date Founded

2019

Company Location

United States

Company Website

www.themoderndatacompany.com

Company Facts

Organization Name

IBM

Date Founded

1911

Company Location

United States

Company Website

www.ibm.com/products/engineering-lifecycle-management

Categories and Features

Data Management

Not specified

Categories and Features

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