DataPandit

DataPandit is a data analytics platform developed by Let's Excel Analytics Solutions LLP. According to the vendor, it is designed to provide multivariate data analysis solutions, particularly for the "improve phase" in the DMAIC stage of process improvement. The platform is suitable for companies of all sizes, ranging from small startups to large enterprises. It is utilized by professionals in various fields, including data analysts, process engineers, quality assurance professionals, research and development teams, as well as the pharmaceutical and biotechnology industries.

Key Features

Data Analytics: According to the vendor, DataPandit provides a data analytics platform that allows users to import and analyze large datasets, perform statistical analyses, and visualize data through interactive charts and graphs.

Design of Experiments (DoE): DataPandit offers a dedicated module for Design of Experiments (DoE), which the vendor claims enables users to efficiently plan, conduct, and analyze experiments to optimize processes and identify key variables.

Real-Time Controls: According to the vendor, DataPandit enables the development of real-time controls for process monitoring and optimization. Users can implement control charts and statistical process control (SPC) techniques to ensure process stability and enhance overall performance.

Chemometrics: DataPandit provides advanced chemometrics capabilities, allowing users to analyze chemical data and optimize chemical processes. The vendor states that users can perform chemometric modeling techniques, such as principal component analysis (PCA) and partial least squares (PLS), to gain insights and improve product quality.

Process Analytical Technology (PAT) and QbD: DataPandit supports Process Analytical Technology (PAT) and Quality by Design (QbD) applications. According to the vendor, users can analyze process data in real-time, monitor critical quality attributes, and optimize process parameters to ensure product quality and consistency.

Linear Discriminant Analysis (niceLDA): DataPandit provides a web-based solution for Linear Discriminant Analysis, which the vendor claims can be used for classification problems and data segregation based on normality assumptions.

Principle Component Analysis (magicPCA): According to the vendor, DataPandit offers a web-based solution for understanding data groupings in highly dimensional data. It is particularly advantageous when the number of columns is greater than the number of rows.

Partial Least Square Regression (easyPLS): DataPandit provides a web-based solution for data with high multicollinearity within factors. According to the vendor, users can make quantitative predictions and implement real-time process control in PAT applications.

Principle Component Regression (quickPCR): DataPandit offers a web-based solution as an alternative to Multiple Linear Regression and Partial Least Square Regression. The vendor states that it overcomes multicollinearity problems in building quantitative chemometric models.

Multiple Linear Regression (smartMLR): According to the vendor, DataPandit supports Multiple Linear Regression, allowing users to estimate the relationship between independent variables and a dependent variable for predictive modeling.