TL;DR
As a product manager, you want analytics that add value without adding complexity. Automated insights do the heavy lifting inside your app, surfacing key changes for your users without making them dig. The result is happier customers, fewer support tickets, and more time for you to focus on roadmap and innovation.
Try Yellowfin’s automated insights feature for yourself. Request a free trial.
Most organizations do not struggle with data. They struggle with the mental load of monitoring it. Endless dashboards mean endless decisions:
- Which report should I check today?
- Is that dip significant or just noise?
- Am I looking in the right place, or missing the real story?
Research backs this up. Seventy percent of companies say they cannot make sense of their own data, according to Cognitive Market Research, while Forrester revealed up to 73 percent of enterprise data goes unused. Not because it is not collected, but because people do not have the time or bandwidth to process it.
The result is delays, blind spots, and decisions made too late.
Traditional business intelligence (BI) and operational reporting tools, while powerful, are designed for a world where you know exactly what you’re looking for.
But what about the unknown?
What automated insights really solve
Automated insights are a part of augmented analytics. They solve cognitive overload with:
- Less digging: No more hours spent poking through dashboards hoping to spot the anomaly.
- Less bias: Humans tend to look where they expect. Machines scan everywhere and surface the unexpected.
- More time: Teams stop babysitting metrics and get back to shipping features and serving customers.
The magic of augmented analytics happens with anomaly detection. Machine learning models continuously analyze your data, learning what "normal" looks like. When a statistical outlier or unusual pattern emerges, the system immediately flags it as an anomaly.
This is how AI-powered insights surface critical trends, from a sudden spike in user logins from a specific region to a subtle but concerning drop in subscription renewals.
These insights are not just data points; they're the what, why, and where of a change, delivered in plain language so you can act instantly.
Yellowfin Signals is the automated insights solution you can trust. Always watching, always alert, never biased.
Recommended reading: What is Automated Business Monitoring?
How does automated insights empower your product?
This is where the power of embedded analytics and automated insights merge. How do you move beyond transactional apps and truly delight your users? By providing crucial, timely information directly in their workflow.
Just like how Uber Eats and Stripe use in-app analytics to hook users and guide their actions, your application can proactively alert users to issues and opportunities. The goal is to reduce the need for manual data exploration (user effort) and make insights more accessible for everyone.
Automated insights empower various teams and types of professionals to act faster:
For general business users (your customers): Can instantly spot shifts in a key metric, like unprompted drops in monthly revenue, and see the likely contributing factors, such as pricing plan changes, highlighted automatically within their main analytics interface.
For product managers: Can be alerted to a significant drop in feature usage or a surge in new user adoption and can instantly attribute it to a specific marketing campaign or recent feature release and take action quickly.
For DevOps engineers/IT: Can quickly detect unexpected cost fluctuations in cloud infrastructure spending and trace the anomaly back to a new service spin-up or inefficient configuration, reducing manual investigation.
For customer success/support: Can surface subtle but significant anomalies, like sudden rises in API call latency or a spike in tickets for specific regional segments, allowing for intervention before the user base is impacted.
Automated business monitoring ultimately makes it possible to highlight these trends faster and easier for everyone - internal teams, developers and your software end-users - by giving them an earlier chance to intervene and act on a critical, relevant change revealed in the data.
How does Yellowfin make automated insights easy?
The good news is you don’t have to build analytics on your own to make automated insights possible.
As part of our embedded analytics platform, Yellowfin provides automated insights via Signals. Unlike threshold-alert based tools in other BI platforms, Signals continuously and automatically monitors every slice of your data for statistically significant changes, including outliers, breakouts, spikes, dips, trend changes, and more, so you never miss a thing and act fast.
Combined with other Yellowfin features such as Tell Me About My Data and AI NLQ, your users can quickly gain further context on why the change happened, using the power of AI to generate a plain-language explanation, explore related data, or query the data-set for further analysis.
Conclusion: A future of smarter decisions
Automated insights don’t replace human intuition, they amplify it. They free your team and your software users from tedious manual analysis and remove blind spots to find insights faster and easier.
The future of analytics is not just about collecting data, but about making every piece of it count for faster, more confident decisions.
Next steps: Explore Yellowfin Signals
See Yellowfin’s automated business monitoring and insights feature, Signals, in action for yourself.