Utilising normative data effectively across different technologies with Luke Fitzpatrick
Sep 19, 2024
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Luke Fitzpatrick, the Head of Data Science at VALD, dives into the world of data science in sports technology. He highlights the critical role of data quality and security in enhancing athletic performance. Fascinating insights on strength development in adolescents are shared, alongside a comparison of NFL players' strengths to the general population. Luke discusses the innovative approach to retrieving and visualizing normative data, ensuring athletes can effectively benchmark their performance against peers. Collaboration with experts ensures the credibility of the data provided to clients.
Data quality and security are paramount as ValD employs rigorous processes to ensure reliable and trustworthy normative insights for practitioners.
ValD enhances the accessibility of normative data across different demographics, empowering performance practitioners to make informed decisions for athlete development.
Deep dives
The Power of Normative Data
Normative data plays a crucial role in the decision-making processes for performance practitioners by allowing comparisons across diverse populations. This episode highlights how one organization, ValD, utilizes their comprehensive dataset to provide users with access to normative reports for over 150 different populations. By aggregating millions of data points, ValD helps practitioners assess the performance of their athletes against relevant demographics, ensuring that insights are tailored to specific needs. This functionality not only aids in understanding athlete capabilities but also in making informed adjustments to training regimens.
Data Quality and Integrity
Ensuring data quality is vital for generating reliable normative insights and involves rigorous cleansing processes. The data science team at ValD employs a funnel approach to filter raw data, achieving high integrity by excluding outliers and faulty readings. Initial safeguards include clear test protocols and user training, while subsequent cleansing steps are executed in their data lakehouse to refine the data further. As a result, the process emphasizes the importance of accurate data input by practitioners to enhance the reliability of the insights derived from the data.
Data Security Measures
Data security is a top concern for organizations working with sensitive athlete information, and ValD implements stringent measures to protect user data. The organization anonymizes and aggregates client data locally before incorporating it into the broader normative data pool, thereby ensuring compliance with various data protection regulations worldwide. Clients often seek assurance regarding the handling and privacy of their data, and ValD maintains transparency through contracts and robust security protocols. This commitment to security not only builds trust with clients but also ensures that sensitive information remains safeguarded in a fast-evolving industry.
Future Developments and Access to Data
ValD continuously seeks to enhance the accessibility and flexibility of their data offerings to meet the diverse needs of their clients. Users can interact with the data through various interfaces; from a user-friendly dashboard for straightforward insights to advanced API access for those requiring deeper analysis. Their recent developments aim to provide normative data not just for general populations, but tailored to specific demographics such as athletes by age or sport. By enhancing access and usability, ValD empowers performance practitioners to make well-informed decisions that are vital for athlete development.
In this episode of the Pacey Performance Podcast, Luke Fitzpatrick, Head of Data Science at VALD, discusses the role of data science in sports technology and the importance of data quality and security. He explains the process of generating normative data and how clients can get the most out of their data. Luke also shares interesting insights, such as the age at which adolescents experience the largest strength development and the average strength of NFL players compared to the general population. The data science team at VALD is focused on expanding their product suite and providing more valuable insights to clients.
This episode is different to any that we have done over the last 10 years.
New talking points:
The role of a data scientist at Vald
Data quality and security
Accessing VALD testing data
Managing huge amounts of data
Visualizing normative data
Making the most of your data
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