Utilize Software that Enables Augmented Analytics to Free Up your Data Scientists

Extraction of useful insights using conventional business intelligence platforms (BI) and self-serve BI has become more challenging as data complexity has increased. Data analysts and citizen data scientists can actually extract more detailed insights using Augmented Analytics in a matter of minutes than a professional data scientist might be able to do with a conventional BI system in the same amount of time.


The entire process of preparing your data for query and analysis is known as data preparation. Datasets need to be gathered, cleaned, connected, and validated. And frequently, it needs the skills of engineers and data scientists to be finished. However, you can automate data preparation and make integrating with all of your data sources simpler with Augmented Analytics tools. These tools include data warehouses like Amazon Redshift, cloud platforms like Salesforce, web service tools like Amazon S3, and analytics platforms like Google Analytics.

Delivering insights to the end user through reports or visualizations is the process of insights sharing. In most cases, this necessitates IT staff to manually produce data reports, charts, and graphs that business users can understand and utilize. However, time-to-insights and human effort can both be significantly decreased with augmented analytics.

Contrary to standard business intelligence (BI) and self-serve analytics software, which needs a lot of time to function effectively (either on the front-end, back-end, or both), augmented analytics solutions can provide insights in just a few minutes. A user only needs to ask a query and press enter. Tellius helps you break down the barriers between BI and AI to gain faster insights from your data.

Location: Reston, VA, USA

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