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Powering Innovation with Data
In the dynamic world of pharma and life sciences, sound data and analytics foundations are more than just critical – they’re the difference between groundbreaking discoveries and missed opportunities. At Marlabs, we understand the unique challenges of this industry, from managing complex clinical trial data to deciphering patient behavior and market trends to fuel innovation.
Building the Foundations for Decision Intelligence
Clinical data management
Medical professionals want better data, with intelligence at their fingertips. We empower leaders with the right data and improve the quality and speed of decisions leading to optimal value and better outcomes for their patients.
Operational and hospital data
From patient scheduling and registration, to the GL and financial reporting, we understand the scale and complexities at play across the enterprise that enable and support both your patients and those who deliver care.
IT/Internal
Internal IT teams often need assistance with capacity or they need outside expertise to build an effective and unified data layer across healthcare organizations. We can help.
Analytics Across Pharma and Life Sciences
Data Analytics and Artificial Intelligence in the life sciences and pharmaceutical industry hold the potential to significantly reduce costs, elevate quality standards, and enhance the patient experience. In an industry where time is critical, AI-driven solutions expedite data processing, visualization, analysis, and the identification of optimal solutions.
Drug discovery
- Predictive Modeling: Analyzing biological data to predict the efficacy and safety of potential drug candidates.
- Clinical Trial Optimization: Optimizing trial design, patient recruitment, and monitoring through data analysis to accelerate the drug development process.
Supply chain management
- Demand Forecasting: Using analytics to predict demand for pharmaceutical products, optimizing inventory levels, and reducing wastage.
- Supply Chain Visibility: Monitoring and analyzing the entire supply chain to enhance transparency, traceability, and efficiency.
Sales & forecasting
- Customer Segmentation: Employing analytics to identify and target specific customer groups for more effective marketing strategies.
- Sales Forecasting: Predicting sales trends and optimizing marketing campaigns based on data analysis
Regulatory compliance
- Data Integrity and Compliance Monitoring: Employing analytics to ensure data integrity, track compliance with regulatory requirements, and facilitate timely reporting
Market access and pricing
- Market Access Strategy: Using analytics to assess market dynamics, payer behaviors, and pricing strategies.
- Health Economics Outcomes Research (HEOR): Analyzing economic and clinical outcomes to demonstrate the value of pharmaceutical products.
Fraud detection and pharmacovigilance
- Anomaly Detection: Identifying unusual patterns in healthcare data to detect potential fraud or abuse.
- Pharmacovigilance Analytics: Monitoring and analyzing adverse drug reactions and ensuring drug safety.
Featured Case studies
Platform Implementation with Data Harmonization, Stewardship & Governance for a Life Sciences Leader
Data Management, Analytics, and BI Transformation for a Behavioral Health Provider
A Better Way to Approach Data Strategy
MAP (Modern Analytics Platform) is a data strategy framework developed to help enterprise organizations fully realize the promise and power of data-driven decision intelligence. Over time, we’ve learned that successful data initiatives require a holistic approach encompassing people, processes, technology, and data.
We built and tested MAP as a customizable, proven road map. We use it to help you assess, plan, guide, and execute enterprise-level data strategy. We shorten the process using accelerators and custom solutions that we built to solve recurring challenges.
Your Full-Service Data Analytics Consulting Partner
Data Strategy
Your data strategy should address technology, process, people, organizational, and adoption considerations that will ultimately help you make better decisions.
Data Management
Marlabs can guide your organization through the best practices of Master Data Management (MDM), data governance, and building a data-literate organization.
Data Warehouse & Engineering
Our data engineers can help your organization select and implement the right solutions for data warehouse migrations, modernization, and automation at any scale.
AI Readiness & Enablement
With the rise of AI as a transformative force, our mission is to ensure your organization is not just prepared but primed to harness its full potential.
Dashboards & Visualizations
We are committed to developing best practices for presenting and consuming data in ways that are accessible and understandable.
Fueled by Market-leading Partnerships
Validated by Global Analysts
Major Contender
in Data and Analytics Services for Mid-market Enterprises PEAK Matrix® Assessment 2023
Let's put your
data to work