A Guide to Automated Analytics: How to Stop Running Your Business on Accidental Data Discovery

In the attached PDF we share the pitfalls that most companies experience with their data discovery process. 

You don’t know what you can’t see

As a senior manager, one of your big fears is not being kept in the loop on everything that is happening in your area of the business. You don’t know what you don’t know, and that could be your Achilles heel. For most, that’s just a risk you embrace with the role. But does that risk need to apply to what lurks in your business data? What if there is a way to mitigate that unknown before it bites your bottom line when you don’t manage to find an issue fast enough?

The dawn of automated analytics and data discovery

The artificial intelligence (AI) and machine learning (ML) trends, which are so hyped in the start-up world, are driving new technologies, new capabilities, and new solutions to business problems. These capabilities include the solution to your need to uncover data insights instantly. Automated analytics and data discovery have arrived.

Signals uncovers what you don’t know, but should

Your automated analytics should be delivering signals of change, not more data noise. And that is exactly what you will find in Yellowfin Signals, an automated data discovery solution built by Yellowfin - a business intelligence (BI) and analytics suite ranked top five in the world by Gartner. Signals is the first standalone automated data discovery solution of its kind in the BI market.

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