A data catalog ensures that through all of the hypothesis testing and SQL wrangling you always have a trail. The logic can be reproduced. The lineage can be shared. The detailed trade-offs can be understood. A system that observes behaviors can then document those behaviors.
We’ve designed Alation for collaborative & agile analysis – from the start. The query editor is no longer a siloed entry point. It operates in a new prescient way. The data structures it accesses are already known. Proactive recommendations are made when intervention is necessary. Documentation is captured as SQL is written. And reaching out to the data expert happens in-line next to the live query. Under the covers a living graph of technical and business metadata is updated on the fly.
The best catalogs create relationships between people & things.
Alation creates an analytics environment where data governance acts as a traffic light rather than a dead end.
Alation works as a data recommender system, surfacing standardized data assets and data governance policies as suggestions to the analyst. This is done directly in the workflow of an analyst, prompting them to use best practices and warning them when their analysis may inadvertently lead to non-compliant or inaccurate insights.
Alation supports a new approach to data governance – Governance for Insight.
Leverage a combination of machine learning & crowdsourcing to speed up documentation by up to 50%
Ensure that the right data asset is available to the right person at the right point in time
Enforce data policies through timely & salient interventions that are in-line with analyst workflow