Making data richer
A lot of time is spent by the data team (data engineering, analytics, business users, etc) on ad-hoc and low-productivity tasks such as manual documentation, writing SQL queries from scratch, and troubleshooting complex data transformation processes. This takes the focus away from their role of enabling organisations to drive decisions with data.
By using Azure OpenAI, Atlan made the data teams more productive.
Natural language queries to interpret data
Atlan AI uses Azure OpenAI services to save hours for data teams every day by automating documentation, summarising lineage, and enabling users to query data in natural language. Users can search in natural language to discover the most relevant, and reliable data assets. If required, it auto generates SQL queries, so that users can just focus on the right questions.
Enhancing productivity
With Azure OpenAI services, Atlan AI has made data teams more productive and agile, allowing them to focus on problems that matter. Data teams have reported greater than 60% reduction in time to complete tasks. With Atlan AI, tasks that would take 2-3 hours of an analyst’s time every day now get completed in 30 minutes.
Prukalpa Sankar
Co-founder
Atlan
The strength of Atlan has always been in recognizing that diversity of data teams is a feature and not a bug. We are incredibly excited about how Atlan AI using Azure OpenAI service to revolutionize data interactions for every type of data user, whether they are a data engineer, analyst, data steward, or a business user. We rely on Azure OpenAI capabilities and utilize the scalability of our existing cloud infrastructure to free data teams to spend more time driving new use cases.
60% reduction in time to complete tasks
Atlan is an active metadata platform for modern data teams, that helps them discover, understand, trust, and collaborate on data assets.
More details at https://atlan.com
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