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What is IBM Master Data Management on Cloud?

Organizations can enhance their governance and trust in both customer and product data by leveraging IBM Master Data Management (MDM) on Cloud, which offers multiple deployment models. This strategy not only accelerates workflows and simplifies scalability but also leads to significant cost savings. With a fully managed solution, companies can engage in rapid experimentation and innovation without the complexities of managing infrastructure or administrative tasks. The approach reduces the initial costs of new initiatives, providing affordable entry points and subscription options that help to minimize risks. As a result of faster provisioning and deployment of Master Data Management, businesses are able to focus more on creating innovative solutions. Moreover, IBM MDM on Cloud guarantees high availability and an improved user experience due to its well-optimized infrastructure. Built on the dependable IBM Spectrum® Protect technology, its customizable hardware and software framework allows seamless migration of all or parts of MDM workloads to the cloud. This adaptability not only supports businesses in remaining competitive but also enables them to leverage data effectively in an increasingly data-centric world. Therefore, investing in such advanced solutions positions organizations to succeed in the evolving landscape of data management.

What is Hydromet Cloud?

Hydromet Cloud provides users with secure, real-time data access from nearly any global location through its website, HydrometCloud.com, and its mobile application. The platform features a powerful backend system that is capable of receiving, ingesting, decoding, processing, displaying, and archiving measurement data sourced from various remote Hydromet monitoring stations via a cloud-based hosting framework. Users have the flexibility to retrieve both current and historical data from these hydrometeorological stations at any moment, allowing for immediate insights. Additionally, the platform enables users to verify the operational status of monitoring stations by quickly reviewing the latest data. The capability to plot data allows for the examination of both recent and historical trends, which aids in understanding shifts in data over time. Users can also configure automatic alerts to receive notifications via email, text, or voice when sensor readings exceed predefined limits. Moreover, the platform allows for the creation and downloading of customized data reports in either tabular or graphical formats, alongside the option to implement data corrections to address measurement errors. By facilitating streamlined access and thorough analysis of data, Hydromet Cloud significantly improves the decision-making process for its users. In essence, the platform not only empowers users with vital information but also strengthens their overall data management capabilities.

Media

Media

Integrations Supported

IBM Storage Protect

Integrations Supported

IBM Storage Protect

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

IBM

Date Founded

1911

Company Location

United States

Company Website

www.ibm.com/cloud/mdm

Company Facts

Organization Name

Hydromet

Company Location

United States

Company Website

www.sutron.com/product/hydromet-cloud/

Categories and Features

Customer Data Platforms (CDP)

Behavioral Analytics
Campaign Management
Customer Profiles
Customer Segmentation
Data Integration
Data Matching
GDPR Compliance
Personalization
Predictive Modeling

Data Management

Customer Data
Data Analysis
Data Capture
Data Integration
Data Migration
Data Quality Control
Data Security
Information Governance
Master Data Management
Match & Merge

Product Data Management

Bill of Material Management
Document Management
Formula Management
Product Analytics
Product Lifecycle Management
Testing Management
Version Control

Categories and Features

Product Data Management

Bill of Material Management
Document Management
Formula Management
Product Analytics
Product Lifecycle Management
Testing Management
Version Control

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