Informatica Intelligent Data Management Cloud (IDMC) and SAS Data Management compete in the data management category. IDMC is noted for its flexible architecture and robust data cleansing, giving it a slight advantage in user feedback.
Features: IDMC offers seamless data integration, flexible architecture for various data management styles, and robust data cleansing capabilities. SAS stands out for strong data quality, data integration options, and comprehensive analytics capabilities.
Room for Improvement: IDMC needs better integration with SAP applications, more preconfigured business rules, and improved user-friendliness and data stewardship. SAS faces challenges with its high cost, complex licensing model, and integration capabilities in cloud migration.
Ease of Deployment and Customer Service: IDMC offers flexibility in deployment across on-premises, hybrid, and cloud environments, but customer service varies with response times often criticized. SAS operates mainly on-premises and generally receives positive feedback on its customer service, although some users report slow response rates.
Pricing and ROI: IDMC is in a higher pricing tier, offering extensive features that provide value. SAS is also expensive but noted for its analytics and management capabilities. Both platforms present substantial ROI potential when effectively used at scale.
Due to the tool's maturity limitations, solutions are not always simple and often require workarounds.
The response time is pretty good because we have someone in-house, who is an expert from Informatica, in our team who can help us with any sort of queries usually.
As a SaaS platform, IDMC is quite scalable and provides complete flexibility.
Stability is crucial because IDMC holds business-critical data, and it needs to be available all the time for business users.
I also want to see integration with other Informatica products, such as IICS, to leverage the metadata from EDC.
The tool needs to mature in terms of category-specific attributes or dynamic attributes.
There is significant room for improvement, especially with regard to using a hybrid approach that involves both CAS and persistent storage.
IDMC is often described as the 'Ferrari of Master Data Solutions,' implying that while expensive, it is business-critical and, therefore, justified.
I think the costs are reasonable for the kinds of features that Informatica Intelligent Data Management Cloud (IDMC) has.
From my experience, SAS Data Management is an expensive tool.
The platform's ability to pull in data from other platforms without the need for an additional integration tool enhances its appeal.
Informatica Intelligent Data Management Cloud (IDMC) can connect to pretty much any application, including Oracle Analytics and Power BI, and it works quite seamlessly.
SAS Data Management stands out because of its data standardization, transformation, and verification capabilities.
Informatica Intelligent Data Management Cloud (IDMC) is a robust platform used by banks, financial institutions, and health sector organizations for data management, governance, and compliance.
IDMC provides comprehensive tools for data discovery, profiling, masking, and transformation. It supports Salesforce integration, real-time data streaming, and scalable data management solutions. Health organizations manage national product catalogs while financial entities focus on data protection and regulatory compliance. Its intuitive interface, flexible features, and robust tools make it valuable across sectors, though enhancements in data integration and human workflow are being sought.
What are the most important features?
What benefits and ROI should be considered?
Banks and financial institutions use IDMC for data masking, transformation, and compliance, while health sector organizations leverage it for national product catalogs. Industry applications focus on automating business processes, centralizing data, and managing data catalogs to meet regulatory demands and ensure data protection.
Every decision, every business move, every successful customer interaction - they all come down to high-quality, well-integrated data. If you don't have it, you don't win. SAS Data Management is an industry-leading solution built on a data quality platform that helps you improve, integrate and govern your data.
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