Informatica Intelligent Data Management Cloud (IDMC) integrates data quality, governance, and integration with flexible architecture. It supports multiple domains and a data models repository, delivering AI-enhanced data management across cloud-native platforms.
IDMC provides seamless integration and governance capabilities that support diverse data environments. Its comprehensive suite includes customizable workflows, data profiling, and metadata management. AI features, a data marketplace, and performance scalability enhance data management. While its interface poses challenges, its robust matching and cloud-native integration facilities are essential for complex data ecosystems. Users employ IDMC for connecting systems, ensuring data quality, and supporting data compliance but seek better pre-built rules, services, and improved connectivity, especially with platforms like Salesforce. Licensing, cost, and added AI functionalities are areas for potential refinement.
What are the key features of IDMC?
- Data Quality and Integration: Seamless integration ensures data accuracy across platforms.
- Metadata Management: Comprehensive metadata management supports data governance.
- AI Capabilities: AI features enhance automation and decision-making processes.
- Data Marketplace: Facilitates easy access to data across the organization.
- Performance Scalability: Scales performance efficiently to meet growing data demands.
What benefits should be expected from IDMC?
- Enhanced Data Management: Offers robust tools for data governance and quality.
- Improved Integration: Connects disparate systems seamlessly, reducing data silos.
- Cost Efficiency: Streamlines data processes, potentially reducing operational costs.
- Data Compliance: Supports compliance with data privacy regulations.
- Agility and Scalability: Adapts quickly to changing data environments.
IDMC is implemented across industries for data integration, metadata management, and governance. Organizations use it to connect systems, migrate data to cloud environments, and maintain data quality. They manage master data and automate business processes, facilitating data lineage and ensuring compliance with privacy regulations.
Microsoft Master Data Services (MDS) is an SQL server solution for master data. MDS enables users to organize and manage a business's master set of data into models while also creating rules for updating the data and control over who can edit it. In addition, the master dataset can be shared with other people in your organization through Excel.
In Master Data Services, you create a model, which is the highest level container in the structure of your master data. This model can then be used to group similar data. Within the model, there can be one or more entities that are similar to a table. Those entities contain members that are the data records. For example, your model can include commodities such as style, color, and product if you manage online product data. The color entity may contain members for various colors. Models may also have attributes that contain values that describe entity members and can be defined within the entities.
There are also attributes that contain values that help describe entities within entity members. There are two different types of attributes:
- Free-form attributes - include numbers, dates, text, or files.
- Domain-based attributes - includes values that can be used as attribute values for other entities.
Features of Microsoft MDS
Microsoft MDS offers a variety of features that provide a central management of master data, while accommodating access to editors and other consumers of the information. These features include:
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Data Validation: With a proactive monitoring process in Business Rules, users can ensure data validity before the lists are used.
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Domain Agnostic: Any data type or data schema can be supported by the MDS system.
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Security: Without risking unauthorized changes, IT teams are empowered to control access at the attribute, entity, and record levels.
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Web-based UI: There is no need to install software, as the web-based user interface gives access to a vast user base.
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Versioning: Each model in MDS can be versioned, allowing for users to tab particular versions for subscribing systems.
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Hierarchy Management: MDS offers functional and versatile management of business hierarchies with various hierarchy types and specialized controls.
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Transaction Logging: MDS offers a transaction log to keep track of changes, as well as the ability to explain why changes were made.
Reviews from Real Users
For those managing large quantities of master data, Microsoft MDS is a solution of choice for a number of reasons. Two of those are its ability to empower everyone to interact with the BI system as well as its integration with Azure active directory.
Satyam S., a senior software developer at a manufacturing company, notes, "Enables non-technical people to directly interact with the BI system."
An individual contributor at a pharma/biotech company writes, "One of the main features I have found useful is the integration with Azure active directory."
SAS Master Data Management (MDM) enables a phased approach, to help you achieve a single view of customers, products and other important entities across both traditional and big data sources. From data quality and data governance to data visualization, your data management capabilities will bring harmony to data discord, give you a more complete view of your business and help you gain insight for better decisions.
