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Description

DQOps is a data quality monitoring platform for data teams that helps detect and address quality issues before they impact your business. Track data quality KPIs on data quality dashboards and reach a 100% data quality score. DQOps helps monitor data warehouses and data lakes on the most popular data platforms. DQOps offers a built-in list of predefined data quality checks verifying key data quality dimensions. The extensibility of the platform allows you to modify existing checks or add custom, business-specific checks as needed. The DQOps platform easily integrates with DevOps environments and allows data quality definitions to be stored in a source repository along with the data pipeline code.

Description

TYPO is an innovative solution designed to enhance data quality by correcting errors at the moment they are entered into information systems. In contrast to conventional reactive tools that address data issues post-storage, TYPO leverages artificial intelligence to identify mistakes in real-time right at the initial point of entry. This capability allows for the immediate rectification of errors before they can be saved and potentially cause issues in downstream systems and reports. TYPO's versatility means it can be employed across various platforms, including web applications, mobile devices, and data integration tools. Additionally, it monitors data as it flows into your organization or remains stored within the system. TYPO offers a thorough overview of data sources and entry points, encompassing devices, APIs, and user interactions with applications. When the system detects an error, users receive an alert and are empowered to make corrections on the spot. By utilizing advanced machine learning algorithms to pinpoint errors, TYPO eliminates the need for ongoing management and implementation of data rules, allowing organizations to focus more on their core functions. Ultimately, TYPO enhances overall data integrity and operational efficiency.