Striking Gold Part I: How Gaine Transforms Bronze Databricks into Gold
Transform healthcare data management with Gaine HDMP and Databricks—automate, refine, and unify raw data into analytics-ready insights
ANALYTICS-READY DATA
Gaine HDMP delivers analytics-ready data
Gaine HDMP delivers analytics-ready data, enabling you to dive straight into analysis without time-consuming preparation. Our clean, structured datasets enhance accuracy, increase efficiency, and accelerate your time-to-insight, allowing you to focus on driving your business forward.
THE CHALLENGE
Time-to-value is paramount in analytics projects
Analytics projects often fall victim to the "80/20 rule," where 80% of the effort is spent on preparing data, leaving only 20% for generating actionable insights. This imbalance delays time-to-value and hinders timely, data-driven decisions. Compounding the issue, data from various sources comes in different formats and terminologies, requiring standardization before analysis. Additionally, healthcare organizations must navigate stringent data privacy regulations, balancing confidentiality with accessibility—particularly as AI models introduce new risks like copyright infringements or consent violations.
The Solution
Standardized data format
Gaine HDMP transforms your healthcare data landscape by mapping all information to common taxonomies at the most granular level, utilizing an industry-standard data model. This standardization enables accurate comparisons across diverse datasets, enhancing interoperability and analytical capabilities.
Advanced data cleansing
Gaine HDMP ensures clean data by employing advanced data cleaning and imputation techniques to address errors, inconsistencies, and missing values. Gaine's platform utilizes sophisticated matching, merging, and survivorship algorithms to reconcile disparate data sources. It applies customizable business rules and data governance policies to maintain data integrity, while its cross-domain model enables comprehensive data validation across interconnected healthcare entities.
Extensive industry data model
The Gaine HDMP healthcare data model has evolved over 15 years and hundreds of projects across the nation’s leading healthcare and life sciences organizations to ensure a solid foundation for healthcare analytics. Anchoring your analytics journey with a comprehensive data model ensures that your design is future-proof and can be confidently extended with any new data sets in the future.
Comprehensive data lineage tracking
Gaine HDMP provides clear documentation of data sources and transformations, tracking alignment between overlapping sources, change history, and data stewarding interventions. This comprehensive data lineage inspires trust among analysts by offering full visibility into data origins and modifications, enabling confident decision-making based on reliable, traceable information.
Always-on data store for reusability
Gaine HDMP functions as an always-on, real-time data store, synchronizing operational data across systems. It delivers standardized data to analytics platforms, eliminating the need for analytics teams to replicate complex transformations, lineage tracking, and quality checks. This reusability streamlines data processes and ensures consistency across your healthcare organization.
CUSTOMER SUCCESS
Gaine for the win
"Gaine's standardized data format and advanced cleansing technology have significantly improved our data quality, reducing errors by 87%. This has not only enhanced our analytical capabilities but also saved our data analyst an average of 16 hours per week that was previously spent on data wrangling."
Chief Data and Analytics Officer at global biopharmaceutical company
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Reduction in errors
Insights
