Analyze sensory evaluation data with a click! Supporting quality improvement.
In the cosmetics industry, product quality evaluation is a crucial factor that influences consumer satisfaction. In particular, sensory evaluation is essential for assessing subjective elements such as product fragrance, texture, and usability. However, sensory evaluation data is complex and requires multifaceted analysis. SIMCA provides solutions to address these challenges by using multivariate analysis to thoroughly analyze sensory evaluation data, aiding in product development and quality management. 【Use Cases】 * Analysis of sensory evaluation data such as fragrance assessment, texture evaluation, and usability evaluation * Quality management of products and comparison with competing products * Consideration of optimal formulations in new product development 【Benefits of Implementation】 * Visualization and enhanced understanding of sensory evaluation data * Improvement of product quality and increase in customer satisfaction * Support for objective decision-making based on data
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basic information
**Features** * Equipped with various multivariate analysis methods such as PCA, OPLS, and OPLS-DA * Easy to use with mouse operations, accessible even without specialized knowledge * Integrated analysis of different types of data (such as sensory evaluation data and instrumental analysis data) * Discrimination of unknown samples using the SIMCA method * Operates in a Windows environment **Our Strengths** We provide IT solutions that support research and development. From the introduction of SIMCA to technical support, we comprehensively support our customers' research activities. Based on years of experience and achievements, we offer solutions that best meet our customers' needs.
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Delivery Time
※Please contact us (usually less than 1 month).
Applications/Examples of results
Analysis of data obtained from mass spectrometry (GCMS, LCMS) Analyzing sensory evaluation and survey data from Excel to understand overall trends and key factors (variables) Analysis of spectral data from mixture analysis (such as IR, NIR) including data correction methods like first derivative and MSC, along with their validation Supporting the resolution of origin counterfeit issues by identifying existing origins from spectral data obtained through non-destructive testing of unknown samples
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We provide advanced software sales, implementation support, and technical assistance for researchers both domestically and internationally. We support a wide range of research and development activities and deliver IT solutions that are compatible with cutting-edge technologies. By collaborating closely with many developers and related companies, we assist research activities by providing solutions optimized for our customers' needs. Based on over 30 years of rich experience and achievements, we propose solutions that combine effective software products and services, contributing to the digital transformation challenges and improvements in informatics in research settings. As a partner supporting our customers' research and development, we will achieve innovation and growth together.
