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Summary |
Informatica Cloud Data Quality is an effective data quality management tool that allows clients to deliver trusted insights. The tool is essentially useful for managing, identifying and fixing data quality problems in the cloud as well as on-premise business applications. Data discovery is an important feature of Informatica Cloud Data Quality as it performs iterative data analysis to point out the exact problems and thereafter. The solution’s common data quality rules can be smoothly reused to save time and resources for increased productivity. Further, data quality transformations too are a useful part of an Informatica integration that includes data cleansing along with standardisation and address verification, parsing and enrichment capabilities. Spark processing enhances the rate of performance by ten times thanks to its serverless nature. Further, Informatica Cloud Data Quality keeps every bit of data under continuous monitoring and tracks quality across source systems over time. It further automates a handful of critical tasks and orders, enabling enhanced productivity. However, among all features, it is Informatica’s intensive lineup of business-grade data solutions that sets it apart from the crowd. ..show more |
Alation’s enterprise data catalog dramatically improves the productivity of analysts, increases the accuracy of analytics, and drives confident data-driven decision making while empowering everyone in your organization to find, understand, and govern data. Delivers enterprise-wide access to trusted data and fosters seamless collaboration on data assets with integrated communication and knowledge capture. Surfaces recommendations, flags, and policies as data consumers query in Alation’s built-in, intelligent SQL editor or search using natural language. ..show more |
Workvivo is a new breed of employee communication platform designed to build natural, meaningful bonds between teams while helping companies reach and engage their employees in ways that traditional tools simply can’t. ..show more |
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