DATA ANALYTICS
Analytics that help leaders prove value and improve performance
We help organizations measure AI usage, performance impact, and program results—using dynamic dashboards, statistics and predictive analytics, and decision-ready evidence.
From AI adoption metrics to program evaluation to centralized reporting, we help leaders see what is working, what needs attention, and where to act next.
Most organizations struggle to measure what matters
Despite the proliferation of data, many organizations remain in the dark about their actual impact. Critical information is often trapped in fragmented, siloed systems such as EHRs, billing platforms, and HR databases, preventing a unified view of performance.
Reporting remains a time-consuming, manual process that relies on a repetitive cycle of data entry and form completion. This lag in visibility means leaders are forced to make decisions based on outdated information, unable to quickly identify where AI initiatives are succeeding or where programs need urgent attention.
Measure What Matters
Decision-Ready Insights
We help organizations track AI usage, workflow performance, staff and operational outcomes, and broader program implementation, outcomes, and impact. We combine quantitative and qualitative analytics as needed.
Continuous Visibility
For clients who want continuous quality improvement (CQI), we can update analytics at the frequency you desire to monitor progress, identify problems early, and refine strategy over time.
Unified Data Infrastructure
If you have data in siloed systems such as EHRs, billing, regulatory compliance, and HR, you may not be able to measure what matters most to you. We pipe siloed into a centralized repository and harmonize it to generate sophisticated insights for decision-making.
Automated Reporting
Reporting typically requires repetitive, time-consuming form completion. If regulations or funders require you to report outcomes, progress, or other data, we can automate this process so that with one click you get the report you need.
AI: From data to insights
We help organizations track whether AI and other initiatives are being used, improving performance, and delivering meaningful results to power smart, data-driven decisions.
Most organizations can see whether a tool has been deployed. Far fewer can see whether it is being used well, where it is creating value, and what is getting in the way. We help clients measure AI in a way leaders can actually use.
A sample AI adoption measures:
•
Adoption depth, not just adoption rate
•
Usage trends across teams, roles, or workflows
•
Changes in efficiency, productivity, or burden
•
Signals of ROI and operational value
•
Early indicators of where scale is likely to succeed—or stall
This gives leaders evidence they can use to decide whether to continue, expand, refine, or stop.
Optimizing the impact of your programs
Often, leaders in social services, public health, and healthcare lack crucial visibility into programs and interventions, such as the extent to which they’ve been implemented, whether they’re succeeding or facing challenges, and what their outcomes and impacts are.
We can provide you with ongoing visibility, bringing your data sources together and providing advanced, continually updating insights so you can see yourself improve.
Program performance measures:
- Operational and service outcomes
- Access, engagement, and retention, including disparities
- Outcome and longer-term impact trends over time
- Differences across teams, sites, or populations
- Program implementation within or across sites
- Causal inferences: What are the causes of the above results?
Qualitative Insight
- Staff and user feedback
- Surveys, interviews, and focus groups
- Barriers and facilitators to success
- AI-powered, rapid qualitative data analysis
- The story behind the quantitative analytics