Many organizations are considering transitioning from their legacy SAP ECC setups to capitalize on the advanced features of SAP S/4HANA. However, implementing such a comprehensive transformation within a designated budget and timeline, without interrupting day-to-day business operations, poses a substantial challenge for many. The success of any data management and innovation strategy determines whether an organization will lead the industry or lag behind. Organizations that skillfully harness their data to foster transformative business outcomes are better positioned for enduring growth and resilience in the face of future challenges. However, to achieve such objectives, organizations need an unbiased, comprehensive solution that is adaptable to a multi-cloud, multi-hybrid infrastructure.

Informatica's Intelligent Data Management Cloud (IDMC) serves as a hub for various data management functions, including master data management, data quality, cataloging, governance, and integration. Powered by AI and machine learning (ML) engine, CLAIRE®, IDMC is engineered for enhanced intelligence and automation. It is developed on a contemporary, elastic, and serverless microservices architecture, facilitating seamless connections between data consumers and their required data sources. IDMC enables sophisticated discovery and understanding of all data within and external to the enterprise, offers capabilities to access, ingest, and manage all data types on-demand, allows for self-service data curation and preparation ensuring data readiness, and delivers a reliable, unified view of all your data.

Informatica IDMC helps organizations deliver on their digital-first initiatives and build a competitive edge and enable companies to:

• Cloud-native at scale: Adapt to growing business needs by leveraging cloud-native technologies that allow for elastic and serverless processing, ensuring scalability for all enterprise workloads.
• AI-native at scale: Streamline processes and enhance efficiency by incorporating artificial intelligence (AI) and machine learning (ML) across your data and metadata, automating tasks, and expediting data-driven transformations.
• Multi-cloud, multi-hybrid: Optimize operational flexibility by supporting and managing various combinations of multi-cloud and on-premises hybrid infrastructures, facilitating seamless interoperability.
• Open and flexible: Foster innovation by adopting open and flexible data architectures such as data mesh, data fabric, and data lakehouses, which will aid in modernizing systems and developing new data products.
• Low-code/no-code experience: Increase organizational agility by implementing low-code/no-code platforms, enabling a broad range of data practitioners and consumers within your organization to contribute without needing extensive technical skills.
• Security and trust as design principles: Maintain the highest standards of security and trust by adhering to rigorous industry certifications and attestations, ensuring compliance and safeguarding data integrity.
• Consumption pricing: Manage and predict costs more effectively with consumption-based pricing models that offer flexibility and provide incentives based on usage volumes, helping to optimize budgeting and financial planning.

Informatica’s AI-powered, microservices-based intelligent data management cloud can transform organizations into a more data-driven entity, fostering innovation in products and services and enhancing customer experiences. The platform increases workforce productivity by providing all data consumers with governed, trusted, and self-service access, and boosting revenue and profitability by operationalizing AI models, which are enhanced by high-quality, reliable data.