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Data fitness assessment to improve R&D outcomes

A strategic exercise that examines data governance, data quality, validation, and verification, and data visibility and accessibility.

Data-fitness-assessment-to-improve-R-and-D-outcomes

Data-driven R&D to power scientific discovery and innovation

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Life sciences R&D is becoming increasingly data driven. Data governance, data quality, validation, verification, and, most importantly, how data takes shape in terms of data visibility and accessibility is becoming increasingly relevant to life sciences R&D. Life sciences companies are implementing effective data management strategies that harness the FAIR (findable, accessible, interoperable, reusable) guiding principles for scientific data management and stewardship. These include:

  • identifying data consistency, quality, and visibility gaps
  • harnessing the framework of process and governance to improve clinical data management
  • ensuring regulatory compliance of the data sets through its journey

Catalyze the discovery and development of innovative treatments by effectively exploiting big data using modern technologies such as artificial intelligence and machine learning.

Data fitness assessment for next-gen clinical data management

Data governance and compliance

Robust framework for data quality

Data visibility and accessibility

Service offering

Key results

Business outcomes

Sources and complexity

Aggregation and building a semantic layer

Data governance and quality

Future state architecture

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Comprehensive report on data governance and quality

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SWOT analysis to prioritize better data visibility

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Steps to adopt data standards (e.g., CDISC)

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Roadmap for next-gen clinical data management

Clinical program access

  • Diversity in clinical trials without geographic barriers, with equal focus on developing countries.

Agile clinical development

  • Flexible, configurable, and dynamic approach to clinical trials.
  • Real-time access to all study data through controls to ensure the utmost protection of participant safety and data integrity.

Analyzing R&D strategy

  • Global regulatory and compliance insight for fast regulatory approval.