By Keystonemab B.V.
Dynamic Reports: An advanced data visualization and analytics tool presenting big data as interactive knowledge graphs. Enables timely, data-driven decision-making, offering deeper insights and revealing previously unknown links, unlocking data's full potential for pharma., Nutra. and F&B industry stakeholders.
Dynamic reports present a compelling business case for Pharma R&D decision-makers, offering interactive data visualization for digital twin representation, thereby enhancing drug discovery processes. Real-time data updates and analytics facilitate well-informed decisions. Moreover, the tool empowers dedicated marketing and business intelligence teams in the pharma industry to effectively analyze and present critical R&D data, accelerating research outcomes and driving strategic advancements.
Interactive Data Visualization
Interactive data visualization is one of the standout features of Dynamic reports, making it an indispensable tool for data analysis and decision-making. With Dynamic reports interactive data visualization, data is no longer presented in static charts or tables but rather in dynamic and visually appealing formats.
Real-time Data Updates
Dynamic reports provide real-time data updates, ensuring that users have access to the latest information as soon as it becomes available. This feature is especially valuable for industries that rely on up-to-date data for decision-making, such as pharmaceuticals and nutraceuticals.
Security and Audience Control
The tool allows businesses to define user access levels, granting specific permissions based on roles. This ensures that the right individuals have access to the appropriate data and reports.
Dynamic report includes user analytics, which allows businesses to track how users interact with the data and reports. This feature provides valuable information on user behavior, preferences, and engagement, aiding in the optimization of data presentation.
Digital Twin Representation
Dynamic reports cater to organizations involved in digital twin representation, especially in the pharmaceutical and nutraceutical domains. It enables them to visualize and analyze data related to their digital twin models, facilitating efficient monitoring and decision-making.