Case Studies Ethypharm selected STATISTICA to improve new drug manufacturing parameters and validate lab comparison tests

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	Ethypharm selected STATISTICA to improve new drug manufacturing parameters and validate lab comparison tests

Ethypharm selected STATISTICA to improve new drug manufacturing parameters and validate lab comparison tests

Technology Category	Analytics & Modeling - Predictive Analytics Application Infrastructure & Middleware - Data Visualization
Applicable Industries	Pharmaceuticals
Applicable Functions	Product Research & Development Quality Assurance
Use Cases	Predictive Quality Analytics Process Control & Optimization
Services	Software Design & Engineering Services System Integration
Challenge	The pharmaceutical development staff at Ethypharm often needs to compare finished product batches manufactured under different conditions, such as varying compression presses, manufacturing sites, device parameters, and dosages. Additionally, the analytical development staff must transfer analytical methods to different laboratories, including subcontractors, to ensure all labs control final products appropriately. This requires sufficient information to guarantee consistency and accuracy across different labs. Read More
About Customer	Ethypharm is a European leader in innovative drug delivery, designing, developing, and producing oral modified released medicines through a network of 140 partners. The company’s patented technologies in new medicine development offer multiple benefits to patients, including enhanced efficiency, easier administration, facilitated compliance, and reduced side effects. Ethypharm collaborates with pharmaceutical companies worldwide to bring these advanced drug delivery solutions to market. Read More
Solution	Ethypharm uses STATISTICA to analyze laboratory data and study the impact of various processing parameters. The software provides informative and fast answers about process variabilities, enabling scientists to quickly understand the influence of each parameter. Additionally, STATISTICA is used to compare and validate laboratory submissions by computing confidence intervals on the difference of means and comparing them to acceptance criteria. This ensures that the means of each laboratory are equivalent within practical, preset limits. Read More Log in to view content
Contents

Technology Category

Analytics & Modeling - Predictive Analytics

Application Infrastructure & Middleware - Data Visualization

Applicable Industries

Pharmaceuticals

Applicable Functions

Product Research & Development

Quality Assurance

Use Cases

Predictive Quality Analytics

Process Control & Optimization

Services

Software Design & Engineering Services

System Integration

Challenge

The pharmaceutical development staff at Ethypharm often needs to compare finished product batches manufactured under different conditions, such as varying compression presses, manufacturing sites, device parameters, and dosages. Additionally, the analytical development staff must transfer analytical methods to different laboratories, including subcontractors, to ensure all labs control final products appropriately. This requires sufficient information to guarantee consistency and accuracy across different labs.

About Customer

Ethypharm is a European leader in innovative drug delivery, designing, developing, and producing oral modified released medicines through a network of 140 partners. The company’s patented technologies in new medicine development offer multiple benefits to patients, including enhanced efficiency, easier administration, facilitated compliance, and reduced side effects. Ethypharm collaborates with pharmaceutical companies worldwide to bring these advanced drug delivery solutions to market.

Solution

Ethypharm uses STATISTICA to analyze laboratory data and study the impact of various processing parameters. The software provides informative and fast answers about process variabilities, enabling scientists to quickly understand the influence of each parameter. Additionally, STATISTICA is used to compare and validate laboratory submissions by computing confidence intervals on the difference of means and comparing them to acceptance criteria. This ensures that the means of each laboratory are equivalent within practical, preset limits.

Impact #1	The quality of STATISTICA graphs combined with computed statistics provides quick answers, often eliminating the need to analyze descriptive statistics to draw conclusions.
Impact #2	STATISTICA's powerful software addresses the pharmaceutical development needs of Ethypharm, making data more understandable to all stakeholders.
Impact #3	The high-quality graphs are key for presenting illustrations on projects and study reports, enhancing data comprehension.

Impact #1

The quality of STATISTICA graphs combined with computed statistics provides quick answers, often eliminating the need to analyze descriptive statistics to draw conclusions.

Impact #2

STATISTICA's powerful software addresses the pharmaceutical development needs of Ethypharm, making data more understandable to all stakeholders.

Impact #3

The high-quality graphs are key for presenting illustrations on projects and study reports, enhancing data comprehension.

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Overview

Ethypharm selected STATISTICA to improve new drug manufacturing parameters and validate lab comparison tests

Operational Impact