Informatica Expands Industry’s First and Only Cloud Data Quality Solution with Intelligent Automation to Democratize Data Quality
Cloud Native Innovations Featured at Cloud Data Quality Virtual Summit; Will Empower Businesses to Maximize Value and ROI from Cloud Initiatives
Informatica, the enterprise cloud data management leader, announced expanded capabilities for its Cloud Data Quality solution, the first and only micro-services based, multi-tenant cloud data quality solution integrated with Intelligent Cloud Services, the industry’s leading integration platform as a service (iPaaS) solution, at the Cloud Data Quality Virtual Summit. The updates include profiling intelligence and automation through Informatica’s AI-powered CLAIRE® engine, as well as enhancements to parsing and deduplication.
The adoption of cloud computing has accelerated rapidly, and data quality is a top concern among organizations moving workloads to the cloud. Improved data quality increases the value of data, speeds up cloud migrations and cloud data warehouse modernization, improves user adoption of SaaS applications and reduces risk and potential business disruptions. Yet according to an IDC survey1, 60% of organizations are challenged by data quality.
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Informatica’s Cloud Data Quality solution solves those challenges by using a consistent process and methodology, automating and scaling data profiling, empowering self-service and business ownership, enabling centralized rule management across sources in on-premises and multi-cloud hybrid environments, and providing continuous insight into the quality of data.
This democratizes data quality for everyone by empowering users across the enterprise to identify and resolve data quality issues themselves. Involving end users in data quality initiatives can be pivotal to the successful adoption of cloud applications and trust in insights from analytics.
Improving data quality will also enable enterprises to increase cloud data warehouse productivity and value. With Informatica, enterprises can simplify data cleansing, build a high-quality data pipeline, and deliver trusted insights from a cloud data warehouse. Instituting proven methods for validation, cleansing, parsing,standardization and deduplication of data is key to generating market-shaping insights from cloud data warehouses.
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Cloud native features and capabilities of the enhanced Cloud Data Quality solution include:
- Intelligent Data Profiling: With intelligence powered by CLAIRE®, automatically assign best practice data quality rules based on cloud application data sources. Profile data to examine its structure and context using out-of-the-box templates. Then, drill down to see details and filter on results, and compare profile runs to identify trends over time.
- Business Rule Definitions: Empower the business to lead data quality initiatives while reducing project cycles and enabling IT to focus on strategic projects.
- Centralized Re-Usable Rules: Consistently apply data quality rules across the enterprise in support of data governance. Reduce cost through re-use of centrally managed data quality rules and streamline the resolution of data quality issues.
- Manage and Monitor: Provide continuous insight by aligning data quality and data governance efforts, and track data quality improvements over time.
Already processing over 100 million data verifications per month in the cloud, Informatica’s Cloud Data Quality solution is built on Informatica’s rich heritage and strength in on-premises data quality.
Built on a modular, microservices-based, API-driven, AI-powered iPaaS, Informatica Cloud Data Quality allows customers to quickly identify and resolve data quality issues without any additional IT coding or development. Businesses can leverage the industry’s most secure and trusted enterprise iPaaS, so they can focus on operational excellence instead of additional infrastructure investments.
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