Your Critical Data Transformation Journey Results:
Explorer

Score: 41-68%

Explorer Overview

As an Explorer, your organization is in the early stages of Critical Data Transformation. This means you are likely identifying data sources and assessing your ability to utilize the information locked within them while ensuring compliance. Right now, sensitive data likely remains underutilized due to security concerns and manual workflows.

Key insight: 80% of data collected in healthcare is unstructured, yet only 23% of organizations utilize it effectively. (Source: dhinsights.org)

Explorer - Results by section​

Current Data Practices

Insight:
Most Explorers rely on manual data handling and lack centralized Critical Data Transformation workflows.
Benchmark:
60% of healthcare organizations report challenges accessing unstructured data.

De-Identification Readiness:

Insight:
De-identification is primarily manual or non-existent, creating compliance risks and limiting data usability.
Benchmark:
46% of healthcare leaders cite data compliance as a top barrier to data transformation. (Source: Hakkoda)

Future Data Goals and Impact

Insight:
Explorers aim to improve access to critical data and start de-identification initiatives within the next 12–24 months.

Explorer's Roadmap: Discover

Your next step is to Discover where your sensitive data resides and assess its transformation potential.

Recommended Actions

1
Identify critical data types (e.g., physician notes, imaging, research documents).
2
Begin centralizing data to reduce silos and enable secure collaboration.
3
Evaluate de-identification needs and automation opportunities to accelerate transformation.

Innovator's Benchmarking

How You Compare to Peers:
Only 20% of Explorers have started automating data workflows.
Industry leaders report a 124% ROI on modernized Critical Data Transformation solutions. (Source: Hakkoda)

Innovator's ROI Roadmapping

At the Innovator stage, optimized transformation unlocks:
Reduce manual processing costs by up to 50%.
120,000 in savings
Increase operational efficiency, saving ~$120,000/year for mid-sized healthcare organizations. (Source: veryfi.com)
Curious about what your results mean for your data strategy?
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