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Enable data-driven decision-making, real-time insights, and scalable analytics across life sciences operations.
Advanced data management and analytics are critical for life sciences organizations to harness vast volumes of clinical, operational, and patient data for better decision-making. These solutions enable organizations to transform raw data into actionable insights, improving efficiency, innovation, and outcomes.
However, many organizations still face challenges with fragmented data sources, poor data quality, and limited analytical capabilities, leading to delayed insights and suboptimal decisions. This impacts research, patient outcomes, and overall operational performance.
By integrating these capabilities, INT. enables life sciences organizations to unlock data value, improve decision-making, and drive innovation across the healthcare ecosystem.
Seamless integration of structured and unstructured data across R&D, clinical, manufacturing, and commercial systems
Automated lineage tracking, audit trails, and stewardship workflows to ensure compliance and trust
Role-based data views for scientists, medical affairs, sales, and compliance — no more email requests or Excel exports
Drag-and-drop visualizations, cohort exploration, and dashboarding for non-technical users
Algorithms trained on longitudinal data for forecasting, early anomaly detection, and pattern mining
Monitoring deviations, trends, and CAPAs with prebuilt connectors to LIMS, MES, and eQMS
Bi-directional sync with EDCs, CTMS, CDISC, and bioinformatics tools
Cloud-native architecture for ingesting millions of rows from devices, wearables, EHRs, and legacy stacks
Analyze data sources, structures, and integration requirements
Define scalable data pipelines and analytical models
Connect data systems and enable transformation and processing workflows
Build predictive models and generate actionable insights
Ensure data accuracy, integrity, and regulatory compliance
Deploy analytics solutions and continuously refine performance
Secure, validated data pipelines that meet GxP, HIPAA, and 21 CFR Part 11 requirements by design
Prebuilt models and taxonomies aligned to MedDRA, SNOMED, and CDISC to speed up harmonization
Enable MSLs, clinical ops teams, or QA staff to query data, not just IT teams or analysts
Batch release status, trial progress, compliance metrics, or sales uptick — all viewable in one place
Reusable feature stores and transformation layers for faster experimentation and reliable AI output
Native connectors for Veeva Vault, LabWare, Spotfire, Snowflake, Databricks, and more
Automated red flags on data completeness, protocol deviations, or audit readiness levels
INT. combines deep life sciences expertise with advanced data engineering and analytics capabilities to deliver solutions that unlock data value and drive informed decision-making.
See how prepared your data landscape is to support faster trials, better decisions, and global compliance.
What’s included:
INT. is a leading provider of advanced data management and analytics solutions in life sciences, enabling organizations to transform data into insights and drive innovation with 28+ years of expertise.
