Informatica IDMC and IBM Business Automation Workflow are key contenders in the data management and automation category. Informatica appears to have the upper hand with extensive data integration and quality modules, while IBM excels in process automation and modeling.
Features: Informatica IDMC is praised for its comprehensive data integration, master data management, and quality modules. Its flexible and adaptable architecture is a key benefit, complemented by powerful data cleansing tools like AddressDoctor. IBM Business Automation Workflow offers excellent process automation capabilities, robust business process modeling, and modular process management, attracting enterprises focused on workflow automation.
Room for Improvement: Users often criticize Informatica for high costs and a less intuitive user interface, seeking better ETL capabilities and pre-built integrations. IBM's challenges include complex setup and integration processes and a costly pricing model, though justified by its features. There's a need to improve IBM's ecosystem for seamless integration and better user guidance.
Ease of Deployment and Customer Service: Informatica provides diverse deployment options, including on-premises and cloud capabilities, which offers flexibility. However, customer feedback indicates mixed experiences with technical support, citing variable response times. IBM supports on-premise and hybrid environments, and customers are generally satisfied with support, yet suggest improvements in documentation and setup guidance.
Pricing and ROI: Informatica IDMC is viewed as a costly investment, with pricing based on data volume and processing units. Despite this, it provides a strong return on investment through data management and integration efficiencies. IBM Business Automation Workflow is also expensive but justified by its comprehensive automation features, offering significant value in productivity and efficiency enhancements.
Initially performed manually, workflows now provide a better user experience and increased efficiency.
If the solution is readily available to IBM support team, they provide it instantly.
IBM provides long-term support and maintains a traditionally good customer-vendor relationship.
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.
Due to the tool's maturity limitations, solutions are not always simple and often require workarounds.
If they are unsure how to resolve an issue, they keep customers informed, providing updates about progress and ensuring communication with the product team to deliver accurate responses.
We can manage the license usage and scale our environment while optimizing license use.
We are implementing load balancing and horizontal scalability.
As a SaaS platform, IDMC is quite scalable and provides complete flexibility.
Outside of these maintenance periods, the environment is quite stable.
Stability is crucial because IDMC holds business-critical data, and it needs to be available all the time for business users.
Many developments are focused on AI, LLM models, and data science.
Code management lacks merging capabilities.
IBM Business Automation Workflow could be more intuitive, with more advanced low-code features and services definition.
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.
The observability concept in Informatica Intelligent Data Management Cloud (IDMC) needs improvement as the capabilities are not up to the mark compared to the industry.
It is not a cheap license but in line with expectations for such software.
The price of IBM Business Automation Workflow is on the higher side compared to the features it offers.
It ranges from a quarter million to a couple of million a year.
The licenses are too expensive compared to before, which is why customers are now preferring other data metadata management tools like OneTrust, Collibra, and Azure Purview.
I think the costs are reasonable for the kinds of features that Informatica Intelligent Data Management Cloud (IDMC) has.
This solution has streamlined previously manual processes into orchestrated workflows.
It assisted in making users concentrate on the process flow rather than just features.
We have integrations with different banks, ERP systems, and other human resource management systems by integrating through different systems.
In on-premise, we call it EDC for metadata management, while in cloud-based technologies, it is known as the Metadata Command Center, which serves the same purpose as EDC concerning CDGC.
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.
IBM Business Automation Workflow combines business process management and case management capabilities in one workflow solution. It integrates the capabilities of business process and case management into a single workflow offering. It unites information, process, and users to provide a 360-degree view of work to drive more successful optimized business outcomes. IBM Business Automation Workflow on Cloud provides the same capabilities that are offered in the IBM Business Automation Workflow offering, all within a ready-to-use, cloud-based environment that is hosted in IBM Cloud data centers and managed by IBM.
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.
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