The “Catalog of Catalogs” concept embodies the idea of a single unified platform that connects various databases, existing catalogs, and data sources, creating a centralized data workspace for the entire enterprise. Take for instance Azure Purview which is included in the Microsoft Azure suite. On the face of it, this is welcome, but relies on a virtually sole Microsoft tech stack to be effective, as connectivity and say, sensitive data labeling only works across SQL Server, Azure, Microsoft 365, and Power BI. This means that unlike Alex, in-built catalogs can’t deliver on the promise of unified data governance for the enterprise.
Picture a centralized data workspace that seamlessly connects the diverse technical landscapes of modern enterprises. No matter which databases, cloud systems, existing catalogs, and data sources you rely on, Alex is the “Catalog of Catalogs” that brings it all together, harnessing automation to provide easy-to-find, trustworthy data to the business. By unifying your governance in the Alex platform, you democratise data for business users, foster collaboration from across the enterprise and enable cross-functional data-driven decisionmaking.
As organizations evolve and adopt new technologies, unified and consistent enterprise data governance becomes more challenging. Alex not only automates the unification of your data under management, it scales with your organization as new technologies or clouds are commissioned. Integration flexibility, customization, and scalable automated data lineage and quality ensure that data governance remains effective and reliable, regardless of the scale of data operations.
Informed decisionmaking relies on having access to accurate and reliable data. Alex offers context-rich insights, ensures data accessibility, and builds trust through transparency in data lineage. Decisionmakers gain access to a comprehensive understanding of data, allowing them to identify issues and opportunities with ease.
Solving the nightmarish puzzle of data lineage between applications and platforms becomes seamless with Alex. Cross-application automated data lineage provides a clear, end-to-end view of data’s journey. This transparency ensures accountability, fosters data quality, and simplifies troubleshooting, reducing the risk of data loss or broken critical processes during migration.
Ensuring data quality is fundamental to effective data governance. Poor data quality can lead to misguided strategies and operational inefficiencies. Alex addresses this with automated data quality monitoring, allowing your team to identify and address problems swiftly, ensuring that data remains at the desired level of quality.
Alex’s no-code automation ensures that your data governance process is not only swift but also accessible to every member of your team. Technical complexities are reduced, allowing your team to focus on strategic decisions rather than grappling with intricate coding and tech bloat.
Other catalogs struggle to integrate multi-cloud and hybrid enterprise architectures into the one data workspace. Alex was built to bring all your data into the catalog and enable automated cross-application lineage analysis. Get every major cloud platform under single-catalog management.
Metadata is the backbone of data smarts, and Alex metadata is context-rich. No matter which technology you need to understand and govern, Alex automatically provides the business significance of the data within. From cataloging and profiling to metadata enrichment and lineage tracking, every facet of data governance is automated in Alex with precision.
From Excel tables to Power BI analytics, Alex connects it all, whether your data resides in cloud platforms, on-premises databases, or specialized applications. Say goodbye to data silos in your stack and embrace unified enterprise data governance.
Looking for a key metric for your report? Use Alex to find the data you need wherever it sits in the enterprise. Assess data trust and start using it – fast.
When you identify an impacted table, compliance issue or find the source of an inaccurate report, remediation can start immediately within the lineage view with native, automated workflows.
Let the responsible subject matter experts take control of data issues for speedy remediation.
Easily detect and lodge any issues and their impacts up or downstream by conducting rapid lineage analysis.
Immediately understand how any issues in data sets, down to the column-level, impact critical workflows.
Directly apply easily configurable risk and compliance policies, workflows and rules on anything in the catalog.
Alex can massively reduce the time and effort required to execute key data governance workflows like data quality issue impact analysis. Having an automated detection and analysis platform supercharges data quality improvement.
