DATA VALUATION SERVICES

CAPTURE THE VALUE OF YOUR DATA

Ario Health provides a transparent, evidence-based methodology for evaluating and valuing your real-world data (RWD) assets. Leveraging advanced analytical tools and AI-driven assessments, our expert team identifies the strengths and limitations of your datasets to help you understand their true worth. By applying standardized frameworks and critical data quality metrics, we ensure that our valuation process highlights both immediate opportunities for monetization and long-term strategies for data enhancement.

Our benchmarking services add an extra layer of insight, allowing you to measure your RWD against industry standards and competitor datasets. Through objective comparisons, we pinpoint areas where data can be strengthened, ensuring you consistently meet or exceed evolving market demands. By partnering with Ario Health, you’ll gain the clarity, confidence, and strategic direction needed to maximize the value of your real-world data, ultimately fueling innovation, improving patient outcomes, and driving sustainable growth.

“What is my data worth?”

“How does my data compare to others?”

“Am I overcharging / undercharging?”

“Can I increase returns from my data investments?”

OPTIMIZE INVESTMENTS AND MAXIMIZE RETURNS

Ario Health deploys a proprietary evaluation and valuation model formed out of decades of work across numerous and diverse data providers. We provide you with a comprehensive set of metrics that identify strengths and weaknesses in offerings, potentials for improvement, and benchmarks against industry players.

DESIGN FOR ACCURACY

In today’s data-driven healthcare environment, accurately valuing your real-world data (RWD) has never been more critical. As life sciences companies, payers, and providers increasingly rely on patient-level insights and evidence-based decision-making, the quality, relevance, and economic worth of RWD assets directly influence competitive advantage.

Understanding the true value of your datasets ensures you can leverage them to inform product development, measure therapeutic effectiveness, and support meaningful market access initiatives.

OPTIMIZE YOUR INVESTMENTS

Understanding the true value of your datasets ensures you can leverage them to inform product development, measure therapeutic effectiveness, and support meaningful market access initiatives.

Accurate valuation of RWD also helps you optimize your data strategy and resource allocation. By quantifying the impact and potential return on investment from specific datasets, you can prioritize data acquisition and curation efforts, ensuring focus on those that deliver the greatest benefit.

BUILD TRUST

A rigorous valuation methodology builds trust and transparency with stakeholders, from partners and regulatory bodies to healthcare providers and patients.

When decision-makers recognize the verifiable worth of your data assets, they gain confidence in the evidence you present, ultimately enhancing your reputation, increasing your stickiness, and driving growth.

EARN YOUR REPUTATION

Regular objective evaluations of your data and benchmarking against your competitors provide you with consistent insights into how to maximize the value you deliver to your customers. With this clarity of the strengths and limitations of your datasets, you can establish a strong reputation for continuous improvement.

Data providers, aggregators, and managers who regularly measure critical objective metrics to quantify the value of their data have consistently demonstrated a higher return.  Customer have shown a strong preference for higher-quality, more reliable data, even at higher costs. However, the metrics are rarely available to customers.

DATA VALUATION SERVICES

Ario Health offers a wealth of services to aid your organization through the evaluation, benchmakring, and valuation of your RWD.

  • Data Price Benchmarking Chart

    Data Price Benchmarking

    Benchmark your pricing model against similar competitors and industry averages.

    Ensure you are maximizing your investments

  • Data Quality Benchmarking Chart

    Data Quality Benchmarking

    Benchmark your data quality, completness, and usability metrics against other leading providers and industry averages.

  • Data Recency Benchmarking Chart

    Data Recency Benchmarking

    Benchmark the timeliness of your data asset updates to ensure accurate and up-to-date data.

    Measure from the time of change at the source to update in your system.

  • Data Coverage Benchmarking Chart

    Data Coverage Benchmarking

    Benchmark your population coverage for patient demogrpahics, disease states, and locations.

    Measure coverage aginst known population numbers.

REAL WORLD DATA BENCHMARKING

When determining the value and utility of real-world data (RWD) datasets, it’s essential to consider a range of critical metrics that guide informed decision-making.

By evaluating these foundational metrics, organizations can confidently invest in and leverage RWD to drive evidence-based strategies, improve patient outcomes, and generate meaningful business value.

  • Measured by metrics of completeness, accuracy, fill rates, error rates, and consistency of records.

    Determines the reliability of the underlying data for analysis.

  • Measured by patient population size, population diversity, included data elements, specific disease state coverage.

    Determines that the information aligns with specific research or clinical objectives.

  • Measured by total patient population size, diversity metrics, socioeconomic metrics, gender metrics, and diease rate metrics.

    Gauges how well the dataset reflects the target population’s demographics and health status.

  • Recency, measured by the rate of update in the dataset relative top the rate of change in the undeerlying sources. Confirm that insights are timely and actionable,

  • Measured by the presence of linking identifiers (open or proprietary), keys, or data elements usable for connecting RWD datasets.

    Interoperability and linkage determines the potential and ease of integrating with other datasets or systems to expand the scope of analysis.

  • Measured by the number and type of unique metrics, data elements, or patient populations that provides uniue values to your datasets.

    Determines the uniqueness and replaceability of your data relative to competitors datasets.