Mangabey’s Post

Advanced analytics can greatly improve your pharmaceutical company's forecasting abilities. How do you implement it? The implementation is a multistage process with three key stages. It's important not to skip these stages as this can lead to inaccurate forecasting later down the line. These are: 1. Data integration: All your data sets should be aggregated into one data pool for reliable analysis. 2. Model development: Without predictive models, you'll struggle to make predictions using your data. 3. Continuous refinement: Technology is constantly evolving, and so is your data. Regularly reviewing and updating your algorithms and data will help you maintain accurate forecasting abilities. Learn more from our blog: https://lnkd.in/e2cJDqeY #PredictiveAnalysis #Pharma #DataAnalytics #Forecasting

Life science and pharmaceutical industries collect and leverage vast amounts of data. The technologies behind this complex data are extremely powerful and getting smarter by the day. It is sometimes easy to forget that real users will need to handle this information. Interfaces and user experience act as the conduit between technologies and the user. A user-focused approach to understanding users’ needs leads to informed decision-making about what data needs to be shown and the best ways to display that information.

Within Blue Matter, our Blue Matter Insights team integrates data, analytics, primary research, & consulting to help clients make important decisions. Over the next few weeks, we'll share profiles of some of our Insights team members. First up is Sepp Saljoughi! Learn more about Sepp below. Learn more about Blue Matter Insights here: https://lnkd.in/ek6UJ9F9 #pharmaceutical #biotech #data #analytics #marketresearch #consulting

In the pharmaceutical industry, data is the backbone of innovation, strategy, and patient outcomes. Data silos are a common yet significant challenge that all life science companies encounter. 𝐖𝐡𝐚𝐭 𝐚𝐫𝐞 𝐝𝐚𝐭𝐚 𝐬𝐢𝐥𝐨𝐬? Data silos may be described as isolated data that is controlled/accessible or restricted to one department of an organisation. While data silos naturally occur within an organisation, it is also indicative of a lack of a well planned data management strategy.  Data silos can severely hinder productivity and decision-making in the pharmaceutical industry. 𝐇𝐞𝐫𝐞 𝐚𝐫𝐞 𝐟𝐢𝐯𝐞 𝐞𝐟𝐟𝐞𝐜𝐭𝐢𝐯𝐞 𝐰𝐚𝐲𝐬 𝐭𝐨 𝐞𝐥𝐢𝐦𝐢𝐧𝐚𝐭𝐞 𝐨𝐫 𝐦𝐚𝐧𝐚𝐠𝐞 𝐝𝐚𝐭𝐚 𝐬𝐢𝐥𝐨𝐬 𝐚𝐧𝐝 𝐮𝐧𝐥𝐨𝐜𝐤 𝐭𝐡𝐞 𝐟𝐮𝐥𝐥 𝐩𝐨𝐭𝐞𝐧𝐭𝐢𝐚𝐥 𝐨𝐟 𝐲𝐨𝐮𝐫 𝐝𝐚𝐭𝐚 👉 #Xcellen #SFE #dataefficiency #datasilos #strategies #datawarehousing #dataintegration #salesforceeffectiveness #dataquality #datamanagement #commercialexcellence #technology #pharma #business #process

Unlocking the potential of pharmaceutical data digitization: streamlined processes, reduced errors, and quicker access to critical information. It's not just about efficiency; it's about delivering quality care. Learn more: https://bit.ly/3QKXNsW #HealthcareInnovation #DataDigitization #DigitalHealth #MedTech #PatientEngagement #EHRIntegration Data Analytics PharmaSuisse Laboratories Data Document Digitizing

What if AI and process analytical technology (PAT) are combined? Can we expect it to upend drug manufacturing? https://lnkd.in/eVSe2XNH Think offices converted to pharmaceutical hubs and profitable small scale sites in remote locations. Rui Dinis, MBA, PEAT, CEng, MCIBSE of Deerns considers the potential for new drug manufacturing models. #LifeSciences #pharmaceuticalmanufacturing #AI

Every step of the biopharmaceutical process generates data – from development to manufacture to distribution. Capturing and centralizing that data can help the industry create and deliver medicines and treatments more quickly and efficiently. In this article published in Biopharma Dive, David Fitzgerald, Associate Director of Engineering, Life Sciences Manufacturing at Cognizant, and Ajit Yeole, Senior Director of Life Sciences Manufacturing at Cognizant, share their insights into how data historian technology can deliver multiple-system and cross-site data collection, storage, and analysis to drive business innovation and efficiencies. They also discuss the importance of developing a strong and robust data strategy so that companies can optimize their manufacturing sites and get the most value from their data. Read the full article here: https://lnkd.in/exgf8WYx #datainfrastructure #datahistorian #datatoinsights

Data 📈: Businesses rely on buying, analyzing and understanding data. In Life Sciences, some of the largest costs are due to data. Many organizations spend too much 💵 with companies to aggregate & analyze patient data. RoadMap Technologies optimizes companies' spending to get more & pay less. Experience faster turnarounds from a strategic data partner and contact us today. #dataaggregation #datawarehouse #partner #data #patientdata #save #spendless #getmore #news #dataaggregator #lifesciences #pharma #biotech #pharmaceutical #biotechnology #HITRUST #HIPAA #APLD

🔬🌱 We are setting new benchmarks by integrating smart life science technologies with digitalization and data-driven services. This strategic fusion is not just about innovation—it's about reshaping the future of healthcare and pharmaceutical industries globally. Our latest paper explores 4 transformative solutions that: -Optimize Project Timelines -Scale Up Production -Support Certification Efforts -Rapid Market Introduction We understand the challenges of modernizing production while adhering to regulations & environmental considerations, that's why we developed this paper. Read more in our paper: https://sie.ag/5iqix9 #SiemensInnovates #LifeSciences #SustainableTech #DigitalTransformation

Attention #Pharma R&D and Commercial #PortfolioManagement leaders Below is a scenario where i2e Consulting added value with technology services to enable a unified view of #portfolioperformance and #revenueforecasting