Radically Transform the Way You Work with Informatica Intelligent Data Management Cloud
Managing data can be a challenging and complex process. The large number of non-holistic solutions on the market often fall short in addressing these challenges as they lack singular and centralized metadata throughout the data lifecycle. Moreover, these solutions often remain weak in the field of interoperability and integration, leading to significant time and material losses to achieve desired clear results and fulfill various business use scenarios. Bringing together multiple solutions that are non-holistic and address specific needs increases data management complexity, distributed systems, resources, and time to deliver business value.
Businesses want to have a modern data architecture that starts with small-scale investments and allows them to scale to meet growing business demands. It is critical to have a platform with sufficient maturity in which they can make a return on their investment in a short time and are able to use data management effectively. Supported by a modern data architecture (Figure 1), Informatica Intelligent Data Management Cloud™ (IDMC) significantly simplifies data management.
Intelligent Data Management Cloud™ (IDMC) Informatics:
- Independent, neutral, hybrid and multi-cloud
- Open, modular and flexible
- Complete and best of its kind
- Secure, flexible and serverless
- No code, low code provides data preparation and code experiences for almost all skill levels.
Increase Your Productivity with Informatica's GPT
Coming to life with CLAIRE® AI, Informatica's metavery-focused AI engine, CLAIRE GPT makes data management simpler, faster and more accessible. In all data management functions in Informatica Intelligent Data Management Cloud™ (IDMC), the industry's first Generative AI-powered data management platform, the industry's first generative AI-powered data management platform, contributes to CLAIRE GPT learning by automatically aggregating petabytes of metadata through a unified interface.
So how does CLAIRE GPT help increase productivity?
- Simplify data management: Interact with your data through an interface, manage your data, quickly create initial drafts of your workflows and data quality rules, and automate repetitive tasks.
- Strengthen your data democratization and self-service data delivery processes: Teams interested in data can research, discover, understand data using everyday language, and data producers can design data flows using simple natural language prompts, create new data assets, and create data quality rules.
- Provide data consumers with an integrated and holistic data experience: With CLAIRE GPT enabled capabilities, Intelligent Data Management Cloud™ (IDMC) applications will be available in a holistic structure through BI tools, AI tools, enterprise tools, browsers and search engines. CLAIRE GPT will provide a holistic data intelligence tailored to the needs that adapts to the areas and time in which the data is consumed.
- Discover the new AI “Co-pilot” innovations: Extended capabilities include automated data classification, inferential data pedigree, automated workflow generation, and automatic data quality anomaly detection.
Manage Your Data with the Advanced Security of the Cloud
Informatica introduces three new cloud security features designed to both increase the level of security and provide flexibility in controlling access to your data assets. These include:
- Custom connection: Create a connection between your environment and Informatica Cloud independently of the public internet with a dedicated connection provided via Amazon Web Services or Microsoft Azure.
- Client-managed keys: Create your own encryption keys and manage them without making them available to a cloud provider or sacrificing performance.
- Secure Agent Key Vault: Store and manage connector credentials in a third-party confidential vault. Informatica will only access these credentials when needed and at run time.
Enrich Your Sustainability and Responsibility Operations with ESG (Environment-Social-Governance) Reporting
The Informatica IDMC platform makes it easy to meet ESG reporting legal requirements and integrates your ESG data into your business and decision-making processes.
With the competencies provided by the Informatica IDMC platform, you can measure your ESG performance and enable you to align with your sustainable development goals.
IDMC for ESG Sustainability uses Informatica cloud-based solutions as an integrated platform to help you access and leverage business-appropriate ESG data to support your most important ESG business priorities.
- Regulatory compliance: EU Taxonomy, EU SFDR, EU CSRD and TCFD, which are covered by European Union industry norms, ensure compliance teams working in your ESG legal reporting reach clean, valid, transparent and high quality data to ensure compliance with their regulations.
- 360-degree view of ESG data: By integrating ESG data into your business and decision-making processes, you can manage risks and opportunities in ESG and perfect strategy alignment and resource allocation.
- ESG impact measurement: Measure your ESG performance to ensure compliance with the 17 sustainable development goals (SDGs) set by the United Nations (UN) and improve your ESG standards.
- Value chain due diligence: Decarbonise supply chains with the four “R's” (reduce, reuse, recycle, recover) of reduction, reuse, recycle and recover. In addition, ensure sustainability and improve your standards in human rights, labor rights and environmental policies in practice.
Automating Data Governance, Data Democratization and Observability
Our modern data governance solution, a service of IDMC, contributes to data democratization and observability and analytics in simplifying data governance to enable digital business processes and enable data-driven AI-powered decision making
Informatica solutions offer simple, modular cataloging, governance, quality, observability, and ready-to-use dataset capabilities. With support for METADA-driven AI, CLAIRE enables you to increase efficiency, reduce costs, and deliver faster business outcomes at any scale;
- Simplify and automate data management and observability: Use predictive data models powered by artificial intelligence.
- Empower all data consumers: Enable them to find, understand, trust, and access data with ease.
- Scale analytics and AI: Support your analytical work with reliable, high-quality data streams with observability.
- Ensure responsible sharing and use of data: Align with your data management policies and standards across all areas of data use.
Increasing the Productivity of Data Engineers
According to a recent study, about 97% of data engineers experience major difficulties in their work, and 80% of them consider quitting their careers altogether. To help counter this trend and drive productivity in data engineering, we are introducing CLAIRE-powered artificial intelligence and machine learning (ML) innovations. With this competence, it is possible, for example, to create automated workflows and design data transformation. With these innovations, Data engineers are now able to do the following;
- Easily execute reverse engineering applications in your ETL processes: Use built-in wizards and change data capture (CDC) support when transferring data from leading-edge cloud data warehouses and target hundreds of SaaS and applications. Support for new data replication sources and targets such as Google BigQuery, Databricks Delta and more has also been added.
- Design your data products using your current technology: With the newly launched InfaCore service, you can design all your data products with a Low Code approach, and in doing so, take advantage of the power of the open and scalable IDMC platform. You can also make AI/ML models operational with the newly launched ModelServe.
- Optimize your data upload costs with faster data processing and lower data output costs in Snowflake environment: Use ELT in the Snowflake environment for advanced data integration tasks.
Next Steps
IDMC enhancements can dramatically increase productivity and efficiency, reduce overall cost and resources, and accelerate return on investment by greatly simplifying data management and rapidly democratizing data at scale. You can contact us to learn more about Intelligent Data Management Cloud.
İlginizi Çekebilecek Diğer İçeriklerimiz
Veri analisti (Data Analyst), verileri toplayan, analiz eden ve bu verilerden anlamlı içgörüler çıkararak işletmelere stratejik kararlar almalarında yardımcı olan bir profesyoneldir.
Makine Öğrenimi Mühendisi (Machine Learning Engineer), veri analizi ve yapay zeka algoritmalarıyla çalışan, makinelerin öğrenmesini ve veri odaklı kararlar almasını sağlayan sistemleri geliştiren bir profesyoneldir. Bu mühendisler, istatistik, programlama ve veri bilimi becerilerini kullanarak, iş süreçlerini otomatikleştiren ve optimize eden çözümler oluşturur.