Recorded webinars

SIMCA

Turn data into science with MVDA

Multivariate Data Analysis (MVDA) for the beginner

OPLS® in process modeling

OPLS® in process modeling

Analyzing batch process data, a step-by-step guide

Analyzing batch process data, a step-by-step guide

An OPLS®-based Multivariate Solver

An OPLS®-based Multivariate Solver

Multiblock Orthogonal Component Analysis (MOCA) – A Novel Tool for Data Integration

Enhancing multivariate models through native Python scripting*

Improved Profitability and Operations in Pulp and Paper Plants

SIMCA® modelling for Ambr® cell culture development

Improved Profitability and Operations in Pulp and Paper Plants – Part II

For the beginner - The basics of data analytics

For the beginner - The basics of data analytics

Increasing the competitiveness of Renewable Chemicals production with Process Analytics

Centering and Scaling; When and when not?

Centering and Scaling; When and when not?

GOOD vs BAD; What´s the difference

GOOD vs BAD; What´s the difference

Omics skin in SIMCA 14.1

Omics skin in SIMCA 14.1

Spectroscopy skin in SIMCA 14.1

Spectroscopy skin in SIMCA 14.1

Wavelets

Wavelets and their use in data analytics

Data driven drug discovery

Data Driven Drug Discovery

Data analytics in preference mapping

Data analytics in preference mapping

Five levels of Pattern Recognition (PARC)

Five levels of Pattern Recognition (PARC)

Hierarchical modeling

Hierarchical modeling for ‘zoom-in/zoom-out’ and multi-block data analytics

Clustering in advanced analytics

Clustering in advanced data analytics. Bottom-up? Top-down? Or both?

Data integration of complex data

Data analytics and data integration of complex data

Cross-validation and other model validation tools

Cross-validation and other model validation tools. Part 1 – A view on some model validation tools

Cross-validation and other model validation tools

Cross-validation and other model validation tools. Part 2 – Cross-validation: pitfalls and possibilities

SIMCA - online

Analyzing batch process data, a step-by-step guide

Analyzing batch process data, a step-by-step guide

An OPLS®-based Multivariate Solver

An OPLS®-based Multivariate Solver

Process modeling and environmental monitoring of a recycled paper plant behaving non-linearly

Process modeling and environmental monitoring of a recycled paper plant behaving non-linearly

Predictive maintenance – monitoring and forecasting the state and performance of machines and equipment

Predictive maintenance – monitoring and forecasting the state and performance of machines and equipment

Enhancing multivariate models through native Python scripting*

Improved Profitability and Operations in Pulp and Paper Plants

Latest news in SIMCA-online 16 - release webinar

Launch Webinar SIMCA®-online 16: Improve your process manufacturing confidence and control

SIMCA® modelling for Ambr® cell culture development

Improved Profitability and Operations in Pulp and Paper Plants – Part II

OPLS® in process modeling

OPLS® in process modeling

Analyzing batch process data, a step-by-step guide

Analyzing batch process data, a step-by-step guide

Increasing the competitiveness of Renewable Chemicals production with Process Analytics

Applying and using advanced analytics models in real-time

Applying and using advanced analytics models in real-time

Automatic optimization with supervisory process control

Automatic optimization with supervisory process control

Process monitoring and deciation analysis

Process monitoring and deviation analysis – the role of the Shewhart, CuSum and EWMA control charts

Guest speakers

Optimization of UPLC-MS/MS assay for clinical diagnosis of rare kidney disease

Performance Indicating Acoustic Emission Measurements on a Dry Powder Inhaler

Performance Indicating Acoustic Emission Measurements on a Dry Powder Inhaler

Seamless DOE in ambr® bioreactor systems

Seamless DOE in ambr® bioreactor systems

Directly from Chemical Structure to Human ADME/PK of Drug Candidates and Chemicals

Directly from Chemical Structure to Human ADME/PK of Drug Candidates and Chemicals

MODDE

Optimization of UPLC-MS/MS assay for clinical diagnosis of rare kidney disease

Design of experiments (DOE) for the beginner

Design of experiments (DOE) for the beginner

Defining the best combination of microcarrier and culture media for MSC expansion in the Ambr® 15 Cell Culture system by DOE

Design of experiments

Lean-and-clean DOE using One-click analysis

Robust optimization made easy

Robust optimization made easy

Robustness testing

Robustness testing and setpoint validation – how they connect with the design space concept

Looking beyond the fractional factorials

Looking beyond the fractional factorials -- What other options are there for screening DOE

Looking beyond the central composite designs

Looking beyond the central composite designs -- What other options are there for RSM DOE

D-optimal design – what it is and when to use it

D-optimal design – what it is and when to use it

An introduction to mixture design

An introduction to mixture design

Supersaturated designs in MODDE

On the use of supersaturated designs in DOE

Six Sigma for process improvement

Using Six Sigma for process improvement

DOE-Based Establishment of Scale-Down Bioprocess Models for Ambr® using Clustered Multivariate Data

General

Umetrics Suite

The use of multivariate models in a regulated environment within continuous manufacturing for pharmaceutical products

Discover the Umetrics Suite

Discovering the Umetrics Suite - High level summary

Discovering the Umetrics Suite - High level summary

DMAIC (Define, Measure, Analyze, Improve, Control) steps of Six Sigma.

Using Umetrics Suite in Six Sigma DMAIC methodology

Active Dashboard

Interactive performance insight; web based production overview

Interactive performance insight; web based production overview

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