Alation indexes all of your data for business use. Technical metadata is surfaced where it is most relevant to the data consumer - in-context with data definitions and sample data. And machine learned patterns of usage are surfaced alongside the technical details, all to create complete context for the user.
Alation's machine learning algorithms learn the lexicon of your business, standardizing references through automated and consistent recommendations of user-friendly data labels.
Alation ingests and parses every query log in your analytic ecosystem to understand how your analysts are using data on the front lines. This information is aggregated and surfaced to users to jump-start their own data literacy.
Data is often only as good as it's origins. Alation gives users full insight into the systems that the data hopped through before it hit your report or dashboard, what transformations were made at
each stage, and what other reports or
dashboards are consumers of the same data. This information is all available from a highly interactive data lineage browser built into the data catalog.
Data is proliferating but so are self-service opportunities to transform data. Alation communicates clearly to users the internal experts that stand behind every data set. Endorsements, warnings and deprecations are clearly marked and communicated. The pace of business today demands that analysis is not slowed down by data curation, but that the intricacies of data governance are made clear to all consumers.
Alation is a complete repository for all the data assets & data knowledge in your organization. Alation is a single point of reference for your:
Alation profiles data & monitors usage to ensure that users have accurate insight into data accuracy. This includes providing insights through:
Alation provides deep insight into how users are creating & sharing knowledge from raw data. This includes surfacing details that include:
Traditionally creating an inventory of all the data knowledge in the organization has required a time-intensive & people-heavy approach. Alation uses search techniques perfected in the consumer space to simplify & automate creating an inventory of your data assets.
Simply connect Alation to your data sources and the system crawls & indexes data assets stored across different physical repositories including databases, Hadoop files and data visualization tools.
Alation automatically ingests technical metadata, user permissions and business descriptions into a central repository that is a foundational resource for all data users in your organization.
Anyone who has participated in a knowledge management project knows how fundamentally unscalable the approach is — no one likes to write documentation.
Have you ever wondered what would happen if you could only train all of your analysts to work like that one wonderful data scientist on the team? She just seems to know naturally how to ask the right questions and access the best data.
Alation taps into the trail left by your best analysts, their SQL log files. By parsing the SQL used to access data during the normal flow of their work, Alation’s algorithms can identify meaningful patterns.
More importantly, these patterns can be used as a foundation for automated interventions during any analyst’s workflow. SmartSuggestions in Alation Compose show how recommendations for best practices or policy compliance can be driven intelligently.
As self-service data visualization tools have taken off, more business users across organizations are discovering and transforming their own data to help make critical business decisions. Sharing the nuances and best practices of how to use data becomes ever more critical in this environment.
With data curation, any analyst in the organization can be a curator of data knowledge, and subject matter experts are encouraged to do so. By upvoting or downvoting data assets, annotating the why of where a filter was last used, or adding additional nuance to a data definition, any analyst can curate data for the organization.
Data curation is a new approach that gets organizations to where data documentation efforts alone could not. Data curation promotes reuse of the data knowledge that already exists & results in higher analyst productivity. Collaboration comes more naturally. And the coverage and accuracy of data knowledge in the organization also increases.
Alation can stand-alone or be a significant component in your footprint for managing data in your organization. Designed for the data consumer, it also supports the data creator in the role of a single point of reference for enterprise data.
Alation uses API access to read technical metadata and business definitions from existing third party repositories.
Just as easily, third party tools can access Alation as a point of reference in their work managing data throughout the enterprise. This is done through a standard set of APIs.
Everyone in the organization, from data novices to experts, can easily search, collaborate and leverage knowledge from one trustworthy source.
Automatically collect all knowledge about data and its usage so useful information is always available to all in your organization.
Share insights that are always relevant, up-to-date, accurate and easy-to-reference across the entire organization.
Reduce the time needed to onboard employees, document data and write complex SQL queries with one easy-to-use interface.