Intelligent Cloud Data Management for modern data governance

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Learn what's new in Informatica's Intelligent Cloud Data Management to help you achieve modern data governance and preserve data.
Nowadays, one of the fundamental assets for organizations is data and, along with it, the ability to perform simplified management to generate reliable and quality data that drives innovation and decision-making.



CDO Insights 2023. How to boost data-driven business resilience



The implementation of policies and procedures for the use of employment database -critical data and Data Governance are particularly relevant in this context. What innovations have been made in this regard recently and what qualities must Data Management meet in order to make the most of the large volume of information available?





Data Governance market is projected to grow from $3.28 billion in 2022 to $7.42 billion in 2026

Source: The Business Research Company



What requirements must data management meet?
Intelligent and automated data management in the cloud for organizations requires a set of basic qualities :

Data integration from all sources: It must be possible to handle the challenges of scattered and fragmented data across any platform and any cloud, including multi-cloud and multi-hybrid environments.

360-degree view of business data: A single, trusted view of all business-critical data enables new and differentiated experiences for all users, customers, suppliers and employees.

Data governance to support self-service analytics: Ensuring data trustworthiness and privacy are strategic requirements to empower real-time insights, reduce security breaches, and ensure regulatory compliance.




It is estimated that by 2023, 65% of the world's population will have their personal data covered by modern privacy standards, up from 10% in 2020.

Source: Gartner



New developments in data governance, democratization and observability
Intelligent Data Management Cloud (IDMC) modern data architecture simplifies data management and accelerates cloud adoption with a set of features:

Independence and neutrality.
Deployment in hybrid and multi-cloud environment.
Open, modular and flexible system.
Security, elasticity and serverless.
No code or simple code.


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Within this framework, the Data Governance solution enables digital companies to automate and simplify data-driven analysis and decision-making. Thanks to simple functions, benefits such as increased productivity, reduced costs and faster value generation are achieved for companies of all sizes. These include:

Automating data observability using AI-powered predictive data intelligence.

Empowering all data consumers to find, understand, trust and access data .

Scalability in the analysis and use of artificial intelligence, guaranteeing reliable and high-quality data pipelines with observability.

Ensuring that data is shared and used responsibly by aligning with policies and standards.