Systems | Development | Analytics | API | Testing

On-Prem and Private Cloud Deployment Models for Analytics

Leadership keeps asking for more dashboards, faster answers, and tighter compliance. The data team hears a different message: do more with the same staff (or, fewer). That is where the difficulty evaluating on-prem and private cloud deployment models for corporate data analytics and visualization solutions starts to bite.

Conversational, contextual, immediate: Inside Yellowfin 9.17 - webinar replay with live Q and A

Business intelligence should be..intelligent. It should be helpful. It should be powerful and sophisticated, but not complicated. Welcome to the new Yellowfin 9.17 where you can talk to your data and get your data to speak volumes for you. Join us for an exclusive look at Yellowfin 9.17, where analytics becomes more conversational, more responsive, and more aligned with the way real decisions are made.

How to Build Embedded Analytics Directly Into Your Applications

As data becomes central to every decision, simply delivering dashboards is no longer enough. Today’s users expect insights to appear directly within the tools and workflows they already use - especially on mobile. Join Yellowfin, and their partner AIGS Insights, for this webinar replay: How to Build Embedded Analytics into Applications. They explore how context-aware embedded analytics can transform mobile experiences by delivering the right insights at the right moment.

Embedded Analytics for Sensitive Data Environments: How YellowfinBI Helps Teams Scale Securely Without Hiring More Staff

Business teams want analytics inside the app they already use. Finance wants account views in workflow. Healthcare wants operational dashboards near patient systems. Regulated firms want faster decisions without extra tools. But the same dashboards that help people act faster can also expose PII, PHI, and other sensitive data if the stack is loose. That is the real tension in embedded analytics for sensitive data environments.

Unlocking Intelligence: How AI-Assisted Insights Transform Embedded Analytics

The data visualization landscape is experiencing a seismic shift. No longer is it enough to simply present dashboards filled with colorful charts and metrics. Today's decision-makers need something more powerful: the ability to understand what their data actually means, why trends are occurring, and what actions to take next.

Analytics Beyond Reporting: How Embedded BI Drives Executive Action

Most executives are drowning in dashboards but starving for insights. We’ve been conditioned to view “analytics” as a rear-view mirror, a report on what happened, rather than a steering wheel for what should happen next. Traditional BI creates a “reporting tax,” where scaling insights requires a proportional increase in data analyst headcount to interpret the noise.

Is AI dashboard a dead end? Here's what a real analytics platform actually does

Here’s a question worth taking seriously if you are a BI practitioner: if I can describe what I want to an LLM and have a working dashboard in under a minute, what exactly am I paying for with a purpose-built analytics platform like Yellowfin? It is a fair challenge.

How Embedded Analytics Powers Frontline Decision-Making: The Yellowfin Advantage

When your sales team is closing a deal, your operations manager is optimizing warehouse inventory, or your customer service rep is resolving a complaint, they can't afford to wait for the monthly analytics report. They need answers right now, in the tools they're already using, without jumping through hoops or waiting for the data team to get back to them with updates.

Working smarter wth data - removing the real barriers to insight - webinar replay with live Q & A

New regulations have changed the stakes. With NIS2, DORA, and GDPR, senior leaders are now personally accountable for how data is accessed, analysed, and shared. Yet in many organizations, critical insight still flows through spreadsheets, slide decks, and manual exports - outside governed systems and beyond auditability. Once data leaves controlled platforms, visibility and accountability disappear.