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.
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
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
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
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
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
Nearly 40 years of data analytics expertise
Purpose-built for biopharma development and manufacturing
Analytics and bioprocess expertise in one partner
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Understanding key analytics methods
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.