Data Analytics for Bioprocessing & Life Sciences

From insight to action. From data to decisions.

Biopharma organizations generate vast amounts of data across development and manufacturing, but more data does not always lead to better decisions. A trusted data analytics solution helps translate complex data into process understanding, giving teams a clearer basis for decisions across the drug lifecycle.

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Your data is not the bottleneck. The decision is.

You already have the data. The challenge is understanding what drives process performance and deciding how to respond. When information is fragmented and analytical approaches are inconsistent, unexplained variability takes longer to investigate. Valuable process knowledge can also be difficult to reuse, leading to repeated experimental work.

The Umetrics® Data Analytics Ecosystem brings together proven software, expert services, and training to help you align analyses and ways of working, anticipate process changes earlier, and trust the results behind your decisions.

This helps teams work more effectively across development and manufacturing, investigate issues faster, build on existing knowledge, and make better-informed decisions.

The impact of intelligent biopharma data analysis

As biopharma development and manufacturing become more complex, intelligent technologies are creating new opportunities to improve speed, efficiency and process performance. Accenture research highlights the potential impact across the product lifecycle, from process development to commercial manufacturing.1

64%

of analyzed drug-launch delays in 2024 were linked to CMC issues1
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Up to

40%

reduction in time to market1
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30%

improvement in process development throughput1
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400%+

improvement in upstream process yield1
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Up to

50%

reduction in batch lead time1
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50%+

reduction in analysis time for deviation investigations1
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¹ O’Halloran, A. M., Späth, H., & Karaca-Griffin, S. (2026). Reinventing biopharma from lab to line: Fueling smarter, faster and scalable biopharma production with intelligent technologies. Accenture. Read the study

See what bioprocess data analytics solutions can do

Turn complex data into better decisions

Every bioprocess leaves a trail of data. The challenge is connecting that information to the decisions that matter most. Explore how bioprocess data analytics helps overcome critical operational and scientific challenges across development, scale-up, manufacturing, and continuous improvement.

Align data across sites, functions, and lifecycle stages

Data and process knowledge often sit across different systems, teams, and sites. The Umetrics® Data Analytics Ecosystem works within your existing technology landscape to improve visibility across the manufacturing network, helping teams apply consistent analytical approaches, reuse knowledge, and make better use of available data across the organization.

  • Apply consistent analytical approaches across teams and sites
  • Reuse models, workflows, and process knowledge
  • Support smoother scale-up and technology transfer

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Anticipate what drives process performance earlier

Complex process relationships can make it difficult to understand variability. The Umetrics® Data Analytics Ecosystem helps teams uncover the factors driving process performance, enabling earlier visibility into emerging changes and a shift from reactive troubleshooting to proactive decision-making.

  • Learn more from fewer experiments  
  • Accelerate investigations and root-cause analysis
  • Detect process changes and emerging risks earlier

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Trust analytics solutions proven in GxP environments

Critical bioprocessing decisions need understandable, traceable evidence. The Umetrics® Data Analytics Ecosystem supports controlled, evidence-based decisions through explainable analytical approaches and regulatory guardrails, helping reduce regulatory and operational risk without relying on black-box AI.

  • Understand the evidence behind critical decisions
  • Support traceable analyses and controlled workflows
  • Make more consistent, evidence-based decisions

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Why Sartorius data analytics?

Proven expertise in data analytics for biopharma

For nearly 40 years, Sartorius has helped organizations turn complex data into actionable process insight. Today, we combine deep analytics expertise with extensive bioprocess knowledge, bringing together software, services, and expert support to help teams make better-informed decisions across development and manufacturing.

What sets Sartorius Data Analytics apart

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Nearly 40 years of data analytics expertise

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Purpose-built for biopharma development and manufacturing

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Analytics and bioprocess expertise in one partner

What our customers say

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Eli Lilly

“We’ve got the data coming in real time, but how do we actually achieve a new paradigm in proactive process monitoring? The missing link is SIMCA®-online. 

Anthony Maguire, Consultant Statistician

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Takeda

“The most game-changing data analytics app is SIMCA®-online. In real time, we can monitor processes, control them and act preventatively to eliminate deviations and variability.”

Alice Caranchini, Digital Innovation Manager

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Lonza

“We’ve been using the Umetrics® suite for over five years now for real-time process monitoring, deviation investigation, Raman spectroscopy, and to learn more about our process.” 

Kelly Richards, Data Scientist

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908 Devices

“The Design of Experiment for our next Ambr® analysis was done in five minutes on MODDE®.” 

Ji Young Anderson, Senior Scientist

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Waters Corporation

“In any study, it’s almost impossible to review every compound all of the time. This is where multivariate analysis with Sartorius comes in.” 

Mark Wrona, Consulting Scientist

Discover our data analytics portfolio

Data analytics software for bioprocessing

Get more from your data with intuitive software designed for complex biopharma environments. 

SIMCA® multivariate data analysis software

Explore complex bioprocess data, build interpretable models, and uncover relationships across development and manufacturing.

SIMCA®-online real-time process monitoring

Monitor live processes, detect deviations early, and predict outcomes using multivariate models developed in SIMCA® software.

MODDE® design of experiments software

Design, analyze, and optimize experiments to identify critical factors, establish robust operating conditions, and reduce experimental effort.

MODDE®-Q embedded design of experiments

Embed design of experiments capabilities into your own software or systems to automate experimental design, analysis, and optimization.

SIMCA®-Q embedded multivariate data analytics

Embed multivariate models into your own software or equipment to automate analysis, predictions, and data-driven insights.

Cell Insights bioreactor simulation software

Predict cell culture performance with in silico simulations to guide cell line selection and optimize process parameters.

Elevate your skills

Enhance your data analytics capabilities with our resource library, self-paced eLearning courses, and consultancy services. 

Consultancy services

Get expert support for defined data analytics projects, from model building and process optimization to tech transfer and validation frameworks.

Training and resources 

Build your data analytics skills through eLearning, webinars, courses, and in-house training for bioprocess applications.

Knowledge base

Find the latest information about products in the Umetrics® Data Analytics Ecosystem

Meet our data analytics experts

Don't miss the Sartorius Data Analytics Summit

Join us on October 20–22 at the Sartorius campus in Aubagne, France

Explore data-driven bioprocessing at the Sartorius Data Analytics Summit.  Turning data into value-driving decisions

Take a Course to Advance Your Skills

Understanding key analytics methods

Data analytics software for every stage of your bioprocess

What is design of experiments?

Discover the basics of design of experiments, a structured approach to understanding how different factors affect your results.

What is multivariate data analysis? 

Learn how multivariate data analysis examines multiple variables together to reveal patterns and relationships in complex datasets.

What is real-time process monitoring?

Explore the role of analytical models in real-time process monitoring, including deviation detection and prediction of process outcomes.

Frequently asked questions

Data analytics in bioprocessing is the use of statistical and multivariate methods to turn complex process data into insight, supporting better decisions in process development, monitoring, and control.

The Umetrics® Data Analytics Ecosystem is a connected suite of data analytics software from Sartorius spanning process understanding, modeling, and real-time monitoring, working together across the Build, Innovate, Deploy, and Elevate lifecycle.

Beyond biopharma, Sartorius data analytics is used in food science, chemical manufacturing, pharmaceutical QC, and academic research, wherever teams need to understand complex, multivariate data.

The portfolio includes SIMCA® software for multivariate analysis, MODDE® for design of experiments, SIMCA®-Q and MODDE®-Q for embedding analytical capabilities into applications and workflows, and SIMCA®-online for real-time monitoring. These tools are supported by training and consultancy services that elevate your in-house data analytics capabilities.

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Consult Our Experts

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