Additionally, I personally found the Hoots integration with Sigma very useful, as it greatly improves the overall productivity of data analysts. Traditionally, when working on a dashboard or report, it can often be unclear what the metrics are referring to. With Hoots seamlessly integrated into Sigma, data analysts can now access the full context of the catalog information natively in Sigma, all without disrupting their business workflow. This means that data analysts can stay focused to get things done more efficiently, as they no longer need to deal with constant disruptions of switching between applications to find information they need.
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please check out the blog post ‘Closing the communication gap between data engineers and data consumers’.
2. Streamlined data discovery powered by AI + Knowledge Graph for reliable, thoroughly documented, and well-governed data sources
In the era of AI, nearly every vendor in the market will have their AI narrative. When it comes to data catalogs, the focus is on using AI to enable data analysts to ask questions in everyday business language. For example, they can simply ask, “Find me all the data that is related to Sales activities to calculate total revenue in 2023”. The problem with a typical data catalog tool that has a simple integration of AI is that it could yield inaccurate results. Without a context-aware germany whatsapp number data knowledge graph, the AI won't know whether “2023” refers to fiscal or calendar year and which months of sales data should be incorporated into the “Total Revenue” report. Now, picture your data analysts building business reports using incorrect data for your C-Suite’s crucial decision-making - such a scenario could lead to catastrophic outcomes.
Here's the deal: AI alone is not enough to produce accurate and trustworthy results, especially when dealing with proprietary enterprise data for answering complex business questions. AI needs to be paired with a Knowledge Graph data catalog to provide context, and validate the response based on the “facts” stored within the graph. This is precisely what sets data.world’s Archie apart from the rest. Archie is an intelligent bot powered by Generative AI to help improve data accessibility and improved search results. If you are curious about why a knowledge graph data catalog and Generative AI goes hand in hand, check out this webinar titled WTF is a Knowledge Graph and Why is it Key to AI.
When paired with Sigma, data analysts can now effortlessly find and access the relevant data in plain English. They can then query, visualize, and interact with the live data to perform calculations and scenario modeling, as well as drag and drop various data elements to design their dashboard to gain additional insights. By combining the two solutions, data analysts gain confidence in their analysis, while business owners can trust the information to make critical decisions that shape the future of their company!