76% of healthcare leaders bypass data due to access issues: Sisense

NEW YORK, UNITED STATES — A startling 76% of healthcare decision-makers admit to making critical business choices without consulting available data because it’s too difficult to access, according to a new report from Sisense and UserEvidence. 

This gap between data availability and actionable insights is undermining data-driven decision-making across the industry, with professionals across sectors acknowledging they’ve made blind decisions for the same reason.

The findings expose a dangerous disconnect: despite heavy investments in data infrastructure, healthcare leaders and other professionals are forced to rely on intuition rather than insights, risking efficiency, innovation, and patient outcomes.

The data-access crisis in healthcare

Despite heavy investments in data infrastructure, enterprises face staggering inefficiencies, with 78% of employees losing 10 to 50% of their workday to fragmented systems and poor data access. 

Alarmingly, 76% admit to making blind business decisions because insights were too difficult to extract—a gap that undermines the promise of data-driven operations.

The Sisense report exposes deeper systemic issues: 64% lack reliable data access despite 81% claiming control over their analytics. 

These inefficiencies contribute to delayed innovation, operational bottlenecks, and clinician burnout—issues already exacerbated by staff shortages and administrative overload in healthcare.

Data silos stall care, cloud decisions

When critical data are trapped in silos or not available, there are major operational and clinical implications for organizations, as reported. 

In healthcare, clinicians have a greater cognitive burden; hence, they may not concentrate on caring for patients because they are dealing with fragmented information systems.

In addition, disjointed data increases the likelihood of suboptimal decisions—from ineffective resource allocation to possibly tainted treatment protocols. Without streamlined access to data, organizations will continue to experience costly delays and inefficiencies.

“While companies have invested millions in data infrastructure, they’re now recognizing that value isn’t created by having data — it’s created when insights are seamlessly available at the decision point,” said Andrew Loomis, Senior Director of Global Field Services at Sisense.

Shift to embedded, AI-driven analytics

To bridge this gap, 80% of organizations now see embedded AI analytics as essential. Solutions like Analytics Platform as a Service (AnPaaS)—integrating no-code tools, white-label analytics, and AI automation—could streamline workflows by:

• Delivering real-time insights directly into clinical and administrative systems.
• Reducing electronic health records (EHR) navigation burdens that contribute to clinician burnout.
• Enabling faster, data-backed decisions without manual data extraction.

The stakes in healthcare are particularly significant. Embedded analytics could cut through administrative friction, improve care coordination, and ultimately enhance patient outcomes, turning trapped data into a strategic advantage.

The Sisense report brings home an important point: data is only as valuable as its accessibility. The industry must prioritize seamless, integrated analytics, or risk falling further behind in the era of data-driven care.