Elevating Pharma Efficacy:Data Products Driving Dynamic Outcomes

Regulatory compliance, research and development, drug safety—the pharmaceutical industry deals with highly complex issues. Data products make it easy to solve demanding challenges by efficiently using vast amounts of data.

They enable data-driven and, most importantly, reliable trend analysis, market change prediction, and treatment personalization. This results in faster decision-making and drug development, greater efficiency, better patient care, and safer medications.

Data productsfor pharma

Regulatory compliance

Pharmaceutical companies face daily challenges in meeting strict regulations from BafArM, EMA, and FDA. These regulations are particularly important for clinical trials and drug approvals.

Data products enable the identification of potential compliance problems at an early stage and the prevention of violations. This guarantees drug safety, effective development and avoids financial risks in the event of setbacks.

Data sources:
Sales and revenue, cost of goods sold, financial and accounting, pricing and discounting, regulatory guidelines and standards, sales volume and quantity, pricing strategy, inventory and stock ovement

Data sources:
Prescription and medication data, adverse event reporting, batch & lot tracking, compliance reporting data, product quality, raw materials lists

Data sources:
Evidence of traceability, manufacturing facility logs and maintenance reports, production quality and assessment data

Research and Development

Efficient data processing is necessary for drug development to handle the vast amounts of research data.

Data products help pharmaceutical companies create and bring much-needed medicines to market faster, ultimately providing patients with better care.

Data sources:
Clinical trial data, licensing and collaboration agreements, grants and funding, intellectual property, sales and royalties, research expenditures, collaborations and partnerships, financial statements

Data sources:
Sales revenue, cost of goods sold, research and development expenditures, intellectual property licensing, sales and royalties, pricing and discounts, financial statements, market analysis data

Data sources:
Research expenditures, manufacturing costs, inventory and stock movement, intellectual property costs, clinical trials, overhead and indirect costs, financial statements, regulatory compliance

Clinical trials

Confidentiality is necessary for managing the highly sensitive data generated by clinical trials.

Data products help accelerate clinical trials and ensure data security and regulatory compliance when handling sensitive information.

Data sources:
Patient demographic & medical history, clinical assessment, adverse events, genetic & molecular data, patient-reported outcomes

Data sources:
Patient demographic & medical history, clinical assessment, adverse events, genetic & molecular data, patient-reported outcomes

Data sources:
Patient prescription adherence, patient demographic & medical history, clinical assessment, adverse events, genetic & molecular data

Supply chain complexity

Supply chain planning is an enormous challenge in any industry.

In the pharmaceutical industry handling temperature-sensitive products and time-critical drug delivery adds to the complexity. Data products help manage inventory, improve supply chain, cut costs, and ensure timely delivery of essential medicines.

Data sources:
Accounts payable records, purchase orders and invoices, supplier agreements and contracts, financial statements, supplier performance metrics, cash flow statements, internal procurement systems, supplier collaboration and communication

Data sources:
Sales and invoicing, accounts receivable records, customer relationship management systems (CMS), financial statements, payment remittance and bank statements, order fulfillment and delivery, customer communication and correspondence, order management systems

Data sources:
Accounts payable records, purchase orders and invoices, supplier agreements and contracts, financial statements, cash flow statements, supplier performance metrics, procurement and inventory management systems, supplier collaboration and communication

Data sources:
Accounts receivable records, sales and invoicing systems, customer relationship management (CRM), financial statements, cash flow statements, payment remittance and bank statements, credit and collection reports, customer communication and correspondence

Quality control and assurance

Compliance with quality standards such as Good Manufacturing Practices (GMP) is paramount in medical treatment.

Data products enable pharmaceutical companies to ensure the safety of their products by supporting and simplifying the monitoring of quality standards with reliable data.

Data sources:
Batch and lot, storage facility data and requirements, historical shelf life

Data sources:
Batch and lot, raw materials, equipment used, processing steps, quality control testing outcomes

Data sources:
Compliance KPIs and indicators, monitoring metrics and quality benchmarks

Data sources:
Compliance monitoring data, data quality management, internal audit records

Safety and pharmacovigilance

Pharma companies must identify and correct adverse drug reactions as quickly as possible.

This is the only way to ensure patient safety. Data products enable quick and accurate monitoring of drug safety.

Data sources:
Adverse health reports, customer surveys, complaints and support tickets, patient safety databases, customer feedback channels, product labeling and information, regulatory compliance reports, safety communication records

Data sources:
Sales and transactions, prescriptions, electronic health records (HER), patient monitoring devices, clinical trials, patient reported outcomes (PROs), pharmacovigilance reporting systems, customer support interactions, social media monitoring

Data sources:
Customer support systems, call center integrations, email correspondence, chat logs, social media monitoring, product return and refund records, pharmacovigilance reporting systems, regulatory compliance records

Intellectual property protection

Pharmaceutical companies have a huge responsibility to protect sensitive patient information while ensuring their intellectual property is protected.

Data products help prevent information breaches and safeguard the rights of over their creations and inventions.

Data sources:
Sales and transactions, point of sale (POS), order management systems, invoice and billing, e-commerce platforms, distribution channels, contract and licensing agreements, financial systems, market research, trade secret data

Data sources:
Manufacturing systems, inventory management systems, purchase orders and invoices, financial systems, vendor and supplier contracts, bill of materials (BOM), labor and payroll systems, quality control systems, production yield and scrap data

Data sources:
Market trends, consumer behavior, consumer demographics, competitive data and product data, compete market penetration and market cap

Common systems:

AllScripts, Anaqua, Anaplan, Apriso MES, ARISg, Apttus, BioClinica CTMS, Brandwatch, Cerner, Cerner Millennium Pharmacy, ComplaintPro, Conga Contracts, CPA Global, Empirica Signal, Epic, Epic Willow, Florence eBinders, Fishbowl, Freshdesk, GlobalData, Hootsuite, Icertis, Intuit QuickBooks, IQVIA, Jira Service Management, Medidata Rave, Microsoft Dynamics, Microsoft Excel, Microsoft Project, Microsoft Teams, Model N Revenue Cloud, NetSuite, OpenClinica, Oracle AERS, Oracle Argus Safety, Oracle Clinical Trial Management System, Oracle ERP, Oracle Financials, Oracle Health Sciences, Oracle Sales Cloud, Oracle Supply Chain Management, PAS-X, Pure, QuickBooks, REDCap, Revitas, Salesforce, SAP, SAP Inventory Management, SAP S/4HANA, SAP Supply Chain Management, ServiceNow, SharePoint, Siemens SIMATIC IT, Slack, SurveyMonkey, Sympletic Elements, Veeva CRM, VigiFlow, Xero, Zendesk.

Improving patient outcomes by putting data to workBenefits of One Data

Build, manage and share data products



Accelerate data-led projects focused on drug development and market impact. Effectively link disconnected data sources for a more holistic view of your data to drive better analysis and patient outcomes.



Improve your data management practices using quality assurance, traceability, and data product lifecycle notifications and alerts to monitor and safeguard the development of drugs.



Advance secure access and use of pharmaceutical data in a centralized Data Product Marketplace to further your R&D initiatives to clinical trials to market acceptance, furthering innovation tied to survival.



Apply available data products to everyday work and repurpose them to progress critical patient outcomes to the next stage of development as you provide better patient care.

Frequently asked questions

Data products streamline the management of regulatory documentation and compliance processes. They enable early identification of potential compliance issues, ensuring adherence to standards set by agencies like BafArM, EMA, and FDA, crucial for clinical trials and drug approvals. This proactive approach safeguards drug safety and effective development while mitigating financial risks.

In R&D, data products are vital for efficiently processing vast research data. They assist in evaluating the profitability potential of new drugs, analyzing costs, and speeding up the development process. This leads to faster market delivery of critical medicines, ultimately benefiting patient care.

Data products are essential in managing sensitive data from clinical trials, ensuring confidentiality, data security, and regulatory compliance. They provide a comprehensive view of patient safety, drug efficacy, and treatment impact, thereby accelerating trial processes and improving the effectiveness of drug interventions.

Yes, data products significantly enhance supply chain management in pharmaceuticals. They aid in inventory management, demand forecasting, and improving operational efficiencies. This is especially crucial for handling temperature-sensitive products and ensuring time-critical drug delivery.

Data products play a crucial role in maintaining compliance with quality standards like Good Manufacturing Practices (GMP). They support the monitoring of product stability, batch recording, and quality risk management, ensuring the safety and efficacy of pharmaceutical products. This thorough approach helps prevent quality deviations and maintains high standards throughout the product lifecycle.

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