What Leaders Actually Want from Analytics in 2026 by Quinn Malloy | March 2, 2026 |  Industry Applications

What Leaders Actually Want from Analytics in 2026

Over the past few years, I have seen a clear shift in how contact center leaders talk about data. There was a time when visibility alone was the goal. Teams wanted real time dashboards. Executives wanted weekly performance summaries. Operations managers needed clear KPIs on answer rates, handle time, and agent productivity.

By Sinan Aksoz, Head of Sales Development at Voiso 

And to be clear, dashboards still matter. In fact, they are essential. Real time dashboards provide operational clarity. They help teams react quickly, adjust staffing, monitor performance, and stay aligned throughout the day. Without that visibility, decision making becomes reactive and fragmented.

But today, visibility is only the starting point.

Recent research shows that 60 percent of leaders investing in analytics prioritize predictive and proactive engagement. More than half want better omnichannel quality measurement. Over 52 percent are focused on root cause analysis. Nearly half want stronger measurement of employee engagement and wellness.

These numbers reveal something important. Leaders are not replacing dashboards. They are building on them.

From Monitoring to Anticipating

In conversations with prospects and partners, I rarely hear someone say they simply want more reports. What I hear instead is, “How do we anticipate problems before they escalate?” or “How do we identify opportunities before they are lost?”

That is the predictive mindset.

Dashboards tell you what is happening right now. Predictive analytics helps you understand what is likely to happen next. When 60 percent of leaders prioritize proactive engagement, it means they want systems that detect patterns early. They want to know which customers are at risk of churn, which campaigns are underperforming, and which agents may need support before metrics drop.

The real value emerges when real time dashboards and predictive intelligence work together. Visibility informs action. Prediction guides strategy.

The Omnichannel Imperative

Another key finding is that 54.7 percent of leaders want better omnichannel quality measurement.

Customers do not think in channels. They move from voice to chat to messaging apps effortlessly. They expect the same consistency regardless of how they reach out.

Dashboards provide visibility into each channel’s performance. But leaders increasingly want to understand the full customer journey across channels. They want to see how a delayed email response affects a later phone call. They want to understand how a chatbot interaction influences sentiment during a live conversation.

When omnichannel data is unified and contextualized, teams gain a complete picture rather than fragmented snapshots.

Finding the Root Cause

More than half of leaders now prioritize root cause analysis.

Traditional dashboards can highlight that average handle time has increased or that customer satisfaction has dipped. But surface level metrics rarely explain why.

Root cause analysis digs deeper. It identifies recurring objections in sales conversations. It reveals product confusion trends. It uncovers process bottlenecks that create friction for both agents and customers.

In my role leading sales development, I see how transformative this clarity can be. When teams understand the true drivers behind performance changes, they stop chasing symptoms and start fixing structural issues.

That is when analytics shifts from monitoring to meaningful improvement.

People Metrics Are Now Strategic Metrics

Nearly half of leaders also want better measurement of employee engagement and wellness.

This reflects another evolution in mindset. Agent experience directly influences customer experience. Burnout affects tone. Disengagement impacts consistency. High turnover disrupts performance.

Modern analytics can surface patterns that indicate stress, imbalance, or overload. Combined with real time dashboards, leaders can act early, redistribute workload, and provide targeted coaching.

Data is no longer just about customers. It is about the people serving them.

What This Means Going Forward

The common thread across these priorities is not more data. It is smarter data.

Dashboards remain the operational backbone of contact centers. They provide the clarity needed to run daily operations effectively. But leaders now expect those dashboards to connect with deeper intelligence. They want insights that predict, explain, and guide.

At Voiso, we see analytics as a layered system. Real time dashboards provide visibility. Speech analytics adds context. Predictive tools drive proactive engagement. Together, they create a decision environment that is informed, agile, and human centered.

The future of analytics is not about replacing what works. It is about elevating it.

And the contact centers that embrace that evolution will not just react to change. They will stay ahead of it.

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