Key Trends Life Science Data & Analytics


How RCM Life Sciences Consulting
Supports Data & Analytics Excellence

2025 Top Life Science Data & Analytics Trends Learn how RCM Life Sciences Consulting Supports Data & Analytics Excellence

Table of Contents

1

About RCM Life Sciences Consulting

3

AI and Machine Learning

5

Cloud-based Data Analytics and Digital Transformation

7

Collaboration Between Life Sciences & Technology Innovators

Data-Driven Compliance and Risk Management

9

11

Data Integrity in Life Sciences

13

Conclusion

About RCM Life Sciences Consulting:

RCM Life Sciences Consulting is a global leader in providing strategic consulting to the life sciences industry. With over a decade of experience, RCM supports pharmaceutical, biotechnology, medical device, and healthcare companies in overcoming critical challenges and driving innovation across the value chain.

For more information on how RCM Life Sciences Consulting can help with your data & analytics strategy, visit www.rcmt.com

1

Key Trends

Life Science Data & Analytics How RCM Life Sciences Consulting Supports Data & Analytics Excellence The life sciences industry is rapidly evolving, driven by technological advancements, shifting regulations, and complex global markets. As these dynamics reshape the sector, data and analytics become pivotal in driving innovation, enhancing operational efficiency, and supporting decision-making processes. This document highlights the key data and analytics trends for 2025, focusing on artificial intelligence (AI) and machine learning (ML), predictive analytics, data security, cloud-based solutions, and regulatory compliance. RCM Life Sciences Consulting is positioned to help organizations navigate these trends with tailored, differentiated services that leverage data and analytics excellence across the product lifecycle.

AI and Machine Learning 01

Trend Overview:

The integration of AI and machine learning in life sciences is accelerating. These technologies are being increasingly used for drug discovery, real world evidence- based analysis, personalized medicine, commercial segmentation and targeting, and improving speed and quality in manufacturing. AI models are helping to cut through the noise from the massive amounts of data available to Life Sciences companies.

RCM Life Sciences Consulting Experience:

RCM helps clients leverage AI/ML to develop innovative algorithms and advanced analytics models, aiding in clinical trials regulatory compliance, commercial launch programs and market access strategies. RCM has seen dramatic improvements in quality employing AI technologies in manufacturing, labeling and packaging areas.

Client Testimonial:

“Incorporating these rule-based engines into advanced manufacturing equipment allowed our team to focus on process, material management, and outputs. It reduced our operational staff and reduced our rework and overall costs. What else could we ask for? RCM exceed our expectations on every level.” -Director of Manufacturing Operations – Major CMO

3

01

How RCM Adds Value

H AI Driven Solutions: RCM brings expertise in creating AI-driven solutions for life science organizations. Their experience in streamlining data integration and improving data accuracy is critical in taking advantage of gains made in AI/ML. P H Data Strategy: RCM helps Life Science companies create a full data strategy that ensures that AI/ML programs are built on a solid data architecture foundation. AI/ML programs may fail with poor data quality and conformance across multiple data sources.

Case Study Example:

RCM led the redesign and building of several manufacturing and packaging lines for a CMO. Employing AI vision-based technology, the line saw improved throughput with reduced rejections and errors. From the pill to the bottle and cap to the label, the staff was able to improve how to interpret data to gain these improvements.

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02

Cloud-based Data Analytics and Digital Transformation

Trend Overview:

The life sciences sector is rapidly shifting to cloud platforms for storing and analyzing vast amounts of data. Cloud-based analytics help organizations access real-time insights, improve collaboration, and reduce costs. Equipment can be scaled up and down to meet demand and control costs.

Choose the right cloud architecture with RCM

02

How RCM Adds ValueH

D Cloud Architecture Solutions: RCM supports clients in choosing the right cloud architecture, building tailored solutions for clinical trials, research, and supply chain management, ensuring they leverage cloud technologies effectively. RCM implemented the Oracle OCI stack and was able to ramp processing up or down by 500% saving their client over 40% in computing costs vs. an on-premises solution D Cloud Adoption Strategy: RCM's deep industry expertise allows for strategic guidance throughout the cloud adoption journey, ensuring that the solutions are aligned with regulatory standards and optimized for life sciences D Transition to the cloud for Data Analytics: RCM helps organizations transition to the cloud, facilitating data migration, integration, and implementing advanced analytics solutions for better decision-making and operational efficiency. Case Study Example: RCM deployed an Agile team to implement a new Data Warehouse platform covering Finance, Omnichannel, Medical, Sales Field Reporting, Regulatory, Market Access, and external data feeds. Using Oracle Data Integrator and Oracle Integration Cloud on the Oracle Cloud stack, RCM developed integrations, data loads, and transformations across multiple business areas. The project resulted in a 30% improvement in reporting efficiency and enhanced data visibility through Tableau dashboards. “ Client Testimonial: "RCM's expertise in Agile development and data integration was instrumental in delivering our new Data Warehouse platform. Their team successfully implemented complex integrations across multiple business areas. The solution provided us with complex data insights, significantly enhancing decision-making and operational visibility."

— Chief Information Officer, Pharmaceutical Company

6

Ensuring solutions are catered to your needs

Collaboration Between Life Sciences & Technology Innovators 03

Trend Overview:

Life sciences companies are increasingly collaborating with technology innovators, such as software developers and cloud providers, to create integrated solutions that enhance data sharing and collaboration across clinical, regulatory, and commercial functions.

How RCM Adds Value

5 Technology Partnerships: RCM’s deep expertise enables clients to evaluate the most appropriate technology partners, ensuring solutions are tailored to their needs while maintaining alignment with industry regulations. RCM worked with a technology partner to implement advanced data processing algorithms that saved over 40% compared to traditional analytic methods 5 Strategic Partnerships: RCM’s ability to strategically guide life science companies in partnering with the right technology innovators ensures seamless integration, greater ROI, and compliance with regulatory requirements 5 Collaboration: RCM has a long history of bridging the gap between life sciences organizations and technology providers, ensuring successful partnerships and the seamless integration of digital solutions into traditional life sciences workflows.

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04

Data-Driven Compliance and Risk Management

Trend Overview:

As data regulations grow stricter, ensuring compliance with industry standards is crucial. New solutions in AI/ML help to reduce compliance costs while significantly improving validation efforts and results.

How RCM Adds Value

K Data Governance: RCM assists clients in developing robust data governance and integrity frameworks that improve data protection, ensuring 100% compliance with industry regulations, and reduce the risk of data breaches and fines K Data Driven Compliance: By implementing robust governance and data integrity frameworks, RCM reduced the client's compliance risks by 30%, leading to a decrease in audit findings and preventing potential penalties K Risk Management: RCM offers risk management services to proactively monitor data compliance, conduct audits, and ensure security standards are continuously met.

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04

Case Study Example:

RCM supported a pharmaceutical startup in commercialization by rationalizing IT SOPs and ensuring Computer System Validation readiness. Over 18 months, RCM identified gaps, developed critical SOPs, and implemented controls in GxP, Vendor Management, and Data Integrity. Using Veeva QMS, RCM ensured FDA and EMEA compliance, creating data protection SOP and data governance policies. The project resulted in 100% regulatory compliance, enhanced document management, and a training program for ongoing policy upkeep.

Client Testimonial:

“RCM played a critical role in preparing our company for

commercialization. Their expertise in data governance, rationalizing IT SOPs and ensuring regulatory compliance with FDA and EMEA standards was invaluable. Over the 18-month project, they developed key SOPs, implemented robust data governance framework with necessary controls, and set up a robust training program, ensuring 100% compliance and streamlined document management. Their support has been crucial for our successful transition." — Chief Compliance Officer, Pharmaceutical Startup

05

Data Integrity in Life Sciences

Trend Overview:

Ensuring data integrity is crucial in life sciences, as accurate, consistent, and reliable data is fundamental to compliance, regulatory approvals, and decision-making. With increasing reliance on digital systems, there is a growing emphasis on maintaining the integrity of data throughout its lifecycle, from collection and storage to analysis and reporting. This trend is driven by stringent regulatory requirements like FDA 21 CFR Part 11 / EMEA Annex 11 and EU Good Manufacturing Practice (GMP) guidelines.

How RCM Adds Value

T Data Integrity Framework: RCM works closely with clients to establish robust data integrity frameworks that ensure data accuracy, traceability, and compliance. They assist organizations in implementing data validation processes, auditing systems, and creating SOPs that align with industry standards to be 100% compliant T Risk Mitigation: RCM’s expertise in data governance and regulatory compliance allows life sciences organizations to maintain the highest standards of data integrity, helping them mitigate risks related to data discrepancies, security breaches, and non-compliance with regulations. Data is at the heart of all work functions. Collecting, organizing, and interpreting that data is the difference between being a leader or a follower. Knowing when and where to focus your efforts is derived from a risk-based data centric approach T Custom Data Integrity Solutions: RCM stands out by combining industry- specific regulatory knowledge with technical expertise to create custom data integrity solutions. Their ability to integrate compliance standards with day-to-day operations ensures clients’ data remains reliable and audit-ready throughout the lifecycle, giving them confidence in their decision-making and regulatory submissions.

11

Case Study Example:

RCM conducted an IT quality audit for a mid-size Biotech company, focusing on clinical data management, integration, security, and regulatory compliance. Using "Audit Practice Standards" and GDPR requirements, RCM identified gaps, developed a corrective action plan (CAPA), and implemented a continuous monitoring program. Key outcomes included the creation of KPIs for data security, standardization of evaluation processes, and implementation of SOPs to secure data, resulting in a 40% improvement in data protection and full compliance with regulatory standards.

Client Testimonial(s):

"RCM’s IT quality audit significantly enhanced our data management processes, identifying key gaps and improving our data security by 40%. Their thorough approach and focus on regulatory compliance ensured we met all necessary standards, and their continuous monitoring program has been invaluable in maintaining ongoing security and efficiency." - Chief Information Officer, Mid-Size Biotech Company 05 12

RCM Life Sciences Data & Analytics Trends

CONCLUSION

As the life sciences industry evolves, data and analytics practices must adapt to new challenges and opportunities. In 2025, trends like AI and machine learning, data integrity, and digital transformation will continue to reshape the data and analytics landscape. RCM Life Sciences Consulting, with its deep expertise in areas such as predictive analytics, cloud-based solutions, and regulatory compliance, is uniquely positioned to guide organizations through these transitions. RCM’s proven track record of delivering data-driven, efficient, and innovative solutions makes it the ideal partner for companies seeking to harness the full potential of data and analytics in the rapidly changing life sciences landscape.

Thank you!

For more information on how RCM Life Sciences Consulting can help with your strategy, contact us.

www.rcmt.com

lifesciences@rcmt.com

1-973-588-8320

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