Founded by Information Systems experts with decades of implementation and integration experience, IConduct was established to answer a real, everyday need.
After witnessing the decentralization of traditional Information Systems, and the increased complexity of business processes that lean more and more on "expert" applications, we saw the chaos and the need for simple integration, and created a solution that was business-focused and technologically enabled.
The IConduct Self Service Integration platform unifies all entities and attributes of all business applications into a single, web-based dashboard, that can operate as a cloud service, on-premise or hybrid solution. The platform supports all enterprise, legacy and cloud base business applications, and eliminates coding on both the source and target application. With a secured agent, full in-memory data handling, and active transaction monitoring, this integration platform provides best performance, ultimate security, and the confidence that all applications are communicating seamlessly and flawlessly.
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.
