Proven statistical computing environments for life sciences leaders.

The landscape of pharmaceutical data is more complex and voluminous than ever before.

In order to win the race to market and secure their competitive advantage, life sciences leaders need robust, precise, and tailored statistical computing environments that empower them to efficiently and securely translate complex data into meaningful insight. At Strong Tower, we excel in addressing the unique challenges of statistical computing in the rigorous and highly regulated life sciences space. From SAS qualified deployments to advanced version control systems, our team is dedicated to optimizing your data’s performance and reliability.

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Deep Industry Expertise

We bring deep industry knowledge, ensuring precise and compliant statistical computing solutions for evolving research needs.

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Proven Track Record

We consistently deliver accurate and timely results, instilling confidence through a proven methodology and focus on customer success.

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Ongoing Partnership

We provide ongoing support to meet the unique requirements and objectives of each life sciences organization as it crosses each milestone on the path to market.

Accelerate discovery with our adaptive and compliant statistical computing solutions.

In every stage of the clinical trial process, accurate data analysis is crucial for driving insights, making informed decisions, and ensuring regulatory compliance. Without efficient statistical computing services, navigating through this data maze can be overwhelming, leading to delays in decision-making, compromised data integrity, and regulatory risks. With Strong Tower Solutions by your side, you can navigate these complexities with confidence.

Strong Tower Solutions offers a comprehensive suite of statistical computing services designed to empower life sciences organizations in their quest for data-driven excellence. With a focus on quality, reliability, and innovation, our expert team delivers solutions that drive efficiency, accuracy, and regulatory compliance throughout every stage of the research and development process.

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SAS Qualified Deployments and Ongoing Support

Ensure the seamless integration and optimal performance of SAS software within your organization’s infrastructure. Our qualified deployments adhere to stringent regulatory standards, while our ongoing support services guarantee the reliability and scalability of your SAS environment.

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Version Control

Maintain the accuracy, integrity, and auditability of data in clinical trials with our version control services. We offer comprehensive version control solutions tailored to your unique needs, allowing you to track changes, meet regulatory requirements, and streamline collaboration across your organization.

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Access services from exploratory analysis to real-world evidence (RWE) data hosting and management with our holistic approach to statistical computing. Our team has robust experience and expertise to deliver services from post-installation support and validation services to ongoing performance monitoring.

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Data Migration and Supporting Services

Simplify the complex data migration process with our comprehensive data migration and supporting services. Whether you’re transitioning to a new platform or consolidating data from multiple sources, our expert team ensures a seamless migration process with minimal disruption to your operations.

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Ready to optimize your statistical computing environment?

Contact Strong Tower Solutions today to learn more about our tailored services and discover how we can help you maximize the potential of your data.

Frequently Asked Questions

When does a life sciences organization typically set up a statistical computing environment?

Organizations typically set up a statistical computing environment during the early phases of clinical development, often starting in Phase I trials. When it comes to environment set up, the earlier the better. Organizations who begin in the pre-clinical stage benefit from the additional time to thoroughly vet requirements and ensure the environment is optimized to meet evolving demands.

Early implementation must ensure that the data infrastructure is robust enough to handle the increasing complexity and volume of data as the trials progress. Establishing a validated environment early on ensures that all analytical processes comply with regulatory standards from the very start, reducing the risk of non-compliance issues later in the development process. Strong Tower’s expertise in creating statistical computing environments for life sciences ensures that your setup is both scalable and compliant, seamlessly supporting your journey from the lab to clinical trials and into the market.

What are my options for a statistical computing environment?

When selecting a statistical computing solution, organizations often choose between SAS, a closed-source solution known for its robust analytics and regulatory compliance, and R, an open-source solution favored for its flexibility and extensive library of packages. SAS requires licensing fees but is unparalleled in its reliability for regulatory submissions. Alternately, R is cost-effective and customizable but requires more expertise for validation and support.

Strong Tower specializes in deploying and managing both validated and unvalidated environments, ensuring that your setup aligns with regulatory requirements and organizational goals. Whether you choose SAS, R, or a combination of both, our expert team will guide you through the setup and management process, ensuring that your statistical computing environment is secure, compliant, and tailored to your specific needs. We provide ongoing support and customization to help you leverage the full potential of your chosen statistical computing environment, including robust data management solutions for your clinical development journey.

What should organizations be looking for in their statistical computing environments?

When selecting a statistical computing environment, organizations should prioritize scalability, robust analytics capabilities, data security, and compliance with regulatory standards such as 21 CFR Part 11. It is essential to have systems that support advanced statistical methods, version control, and audit trails to ensure data integrity and traceability. Strong Tower’s environments are designed to integrate seamlessly with existing systems, offering comprehensive validation services to ensure compliance and streamline regulatory submissions.

What is the importance of a partner in implementing a statistical computing environment?

While statistical computing environments are essential to a life science organization’s success, the failure rate is high for these complex implementations. The right partner will have a proven methodology and a flawless track record of success. Look for a repeatable and predictable implementation process, including evidence that your partner is anticipating and addressing potential challenges proactively. At Strong Tower, we call our methodology The Strong Protocol.

The right partner will be focused on designing, implementing, and maintaining a statistical computing environment tailored to your specific needs today and tomorrow. They will ensure the environment is optimized for performance, regulatory compliance, and data integrity—even as regulatory scrutiny increases. In addition, a true partner will provide continuous support and proactive maintenance; reducing downtime, maximizing the longevity of your environment, and improving the efficiency of data analysis.

Look for a partner that is committed to your success well beyond the initial environment set up. Ideally, they will also provide robust data management solutions to support you as you enter the clinical and commercial phases.

How does Strong Tower ensure regulatory compliance in statistical computing?

Strong Tower ensures regulatory compliance by adhering to industry best practices and regulatory guidelines such as GxP, 21 CFR Part 11, and ICH guidelines. We implement rigorous validation processes, including Installation Qualification (IQ), Operational Qualification (OQ), and Performance Qualification (PQ), to ensure that all components of the statistical computing environment meet the required standards. In addition, our continuous monitoring and audit trail capabilities ensure ongoing compliance, providing you with the confidence that your data management processes are secure and regulatory-ready.