Pharmaceutical and API
Data analytics and statistical tools are essential for improving productivity, quality, and strategic decision-making in R&D, manufacturing, and marketing for pharmaceutical and API sectors. These tools will help market success, enable compliance monitoring, and boost transformation.
Discover Graphtal- Use high-throughput screening techniques and apply statistical tools to analyse the outcomes to find possible drug candidates.
- Utilise pharma analytics to anticipate the toxicological consequences of substances at an early stage of their development process.
- use of statistical techniques to comprehend the origins and patterns of contaminants and pharma data analytics to detect and measure impurities in API development.
- Analyse APIs in their polymorphic forms using statistical methods to determine stability and bioavailability. Then, apply predictive modelling to evaluate how various polymorphic forms affect drug performance.
- Conduct statistical analysis of stability data to predict shelf life and establish storage conditions as per ICH Q1E guidelines.
- Apply statistical experimental design (DoE) to develop efficient and scalable manufacturing processes and identify critical process parameters and their impact on product quality.
- Develop and validate analytical methods using statistical techniques to ensure accurate and reliable measurements.
Manufacturing
- Improve the product design, process robustness & consistency for the manufacturing setup using the quality by design concept and capability analysis.
- Utilize statistical control charts (SPC) to monitor manufacturing processes and maintain quality.
- Maximize production and scale up processes by utilizing pharma analytics to determine significant variables to overall process and product yield.
- Reduce expenses using a data-driven approach to optimize batch sizes, resource usage, and logistics.
- Make use of pharma analytics in supply chain optimization, for demand forecasting and predictive maintenance.
Marketing
- Segment markets analysis using pharma analytics based on feedback, unique customer groupings, and trends of consumer behaviour to customise marketing campaigns.
- For strategic planning, use predictive analytics to forecast market demand and sales patterns with upcoming seasonal trends.
- Create statistical models to maximise income and optimise product pricing planning.
- Using pharma analytics, evaluate customer relationship management system (CRM) data to find prospects for lead generation, patient retention, cross-selling and upselling by increasing customer engagement and retention.
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Our team of experienced professionals at Graphtal is ready to transform your project from idea to reality, ensuring alignment with your organisation goals through advanced data analytics and predictive modelling.
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