Systems | Development | Analytics | API | Testing

How businesses use automated business monitoring

One of the big trends we’ve seen this year is organizations going direct to consumer. Manufacturers who sold through retail outlets are moving online, and as a result a huge amount of digital transformation is occurring. A customer of ours has done exactly that. Kyowa is a Japanese cosmetics and health food company and they’ve moved from retail to going online and digital and Yellowfin has been a significant part of that journey.

How businesses use automated monitoring

One of the big trends we’ve seen this year is organizations going direct to consumer. Manufacturers who sold through retail outlets are moving online, and as a result a huge amount of digital transformation is occurring. A customer of ours has done exactly that. Kyowa is a Japanese cosmetics and health food company and they’ve moved from retail to online and digital, and Yellowfin has been a significant part of that journey. In particular, they’ve used Signals.

The practical benefits of augmented analytics

Augmented analytics uses emerging technologies like automation, artificial intelligence (AI), machine learning (ML) and natural language generation (NLG) to automate data manipulation, monitoring and analysis tasks and enhance data literacy. In our previous blog, we covered what augmented analytics actually is and what it really means for modern business intelligence.

8 key considerations for choosing an Embedded Analytics solution

Historically, analytics has not always been a priority feature for software vendors. Many applications typically are built with analytics bolted-on later, as standalone tools. But the changing needs of today’s business users has accelerated the importance of providing in-built ways to monitor and explore their data while they use your software.

Turbocharge Your Application With Contextual Analytics Webinar - Yellowfin BI

Innovate your application and create highly valuable analytic experiences for your end-users with contextual analytics. Contextual analytics, as the next phase of embedded, brings dashboards, automated analysis and analytics directly into your application’s core workflows delivering data directly within the user interface and within the transaction flow. By seamlessly blending analytics and actions, improve both your app’s core functionality and enable opportunities for exciting new analytical experiences for your users - and improve the value of your application.