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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 Mindfuel?

Mindfuel empowers business units and data teams to pinpoint and rank the most impactful use cases by evaluating them against the company's goals and key performance indicators. Establish a clear connection between data-driven products and business opportunities, thereby enhancing the decision-making framework and optimizing the allocation of resources, ensuring that every product, from conception to execution, demonstrates measurable value and a positive impact on the organization. Create a culture of transparency and strategic thinking to foster innovation. Aggregate all available resources to improve the exploration process and support the reuse of data products, guaranteeing ongoing value creation and visibility throughout the entire journey from idea generation to final implementation. Additionally, promote teamwork across various departments to enhance creativity and operational effectiveness, ultimately leading to better outcomes for the business.

Media

Media

Integrations Supported

Databricks
Microsoft Excel
Salesforce
Snowflake
Anaplan
Angular
Atlan
Google Cloud BigQuery
Google Cloud Knowledge Catalog
Google Cloud Platform
Google Sheets
Jira
Jupyter Notebook
Linear
Microsoft Fabric
Microsoft Outlook
Microsoft Teams
React
Slack
Telegram

Integrations Supported

Databricks
Microsoft Excel
Salesforce
Snowflake
Anaplan
Angular
Atlan
Google Cloud BigQuery
Google Cloud Knowledge Catalog
Google Cloud Platform
Google Sheets
Jira
Jupyter Notebook
Linear
Microsoft Fabric
Microsoft Outlook
Microsoft Teams
React
Slack
Telegram

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

The Modern Data Company

Date Founded

2019

Company Location

United States

Company Website

www.themoderndatacompany.com

Company Facts

Organization Name

Mindfuel

Date Founded

2019

Company Location

Germany

Company Website

www.mindfuel.ai

Categories and 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

Categories and Features

Product Analytics

Attribution
Automatic Data Capture
Churn Reporting
Customer Feedback Collection
Customer Guidance
Customer Journey Analytics
Data Export
Data History Retention
Data Labeling
Product Engagement Scoring
Real-Time Data Analysis
Touchpoint Analytics
User Segmentation

Product Management

Collaboration
Feedback Collection
Idea Management
Milestone Tracking
Prioritization
Product Roadmapping
Release Management
Requirements Management
Resource Management
Workflow Management

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