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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 Holistics?

Holistics enables users to tackle their data needs autonomously, alleviating the common frustrations tied to waiting for technical teams, which benefits both business and data professionals. With Holistics, the Data Team can create and refine a detailed array of business metrics, allowing users to access essential data without needing to write SQL queries or disrupt the Data Team’s workflow. This setup enables the Data Team to maintain a unified definition of metrics while also handpicking datasets for business users, empowering them to carry out their own analyses and generate customized reports and visualizations independently of technical assistance. Insights can be effortlessly shared with stakeholders via a simple click, with notifications sent through email, Slack, webhooks, and other platforms. If you're tired of relying on a busy data team for answers, you can take charge and create your own dashboards from a well-organized collection of business metrics. Users can also utilize drill-through functionalities on their selected dashboards and receive alerts for any noteworthy changes, keeping them consistently updated. This transition not only boosts efficiency but also fosters a data-driven decision-making culture within the organization, ultimately leading to more informed and timely choices. By embracing these tools, businesses can cultivate a more proactive approach to data management and analysis.

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

Apache Ossie

API Availability

Has API

API Availability

Pricing Information

Pricing not provided

Pricing Information

$50 per month

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
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

Holistics Software

Date Founded

2015

Company Location

Singapore

Company Website

www.holistics.io

Categories and Features

Data Management

Not specified

Categories and Features

Business Intelligence

Ad Hoc Reports
Dashboard
Data Analysis
Key Performance Indicators
Performance Metrics
Trend / Problem Indicators
Visual Analytics

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