DataBuck
Big Data Quality must always be verified to ensure that data is safe, accurate, and complete. Data is moved through multiple IT platforms or stored in Data Lakes. The Big Data Challenge: Data often loses its trustworthiness because of (i) Undiscovered errors in incoming data (iii). Multiple data sources that get out-of-synchrony over time (iii). Structural changes to data in downstream processes not expected downstream and (iv) multiple IT platforms (Hadoop DW, Cloud). Unexpected errors can occur when data moves between systems, such as from a Data Warehouse to a Hadoop environment, NoSQL database, or the Cloud. Data can change unexpectedly due to poor processes, ad-hoc data policies, poor data storage and control, and lack of control over certain data sources (e.g., external providers). DataBuck is an autonomous, self-learning, Big Data Quality validation tool and Data Matching tool.
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D&B Risk Analytics
Globally, teams in risk, procurement, and compliance are under pressure to manage geopolitical risks and business risks. Third-party risks are impacted by the complexity of domestic and international businesses, as well as complex and diverse regulations. It is crucial that companies proactively manage third-party relationships. This cutting-edge platform, powered by D&B Data Cloud's 520M+ Global Business Records with 2B+ annual updates for third-party risks, is an AI-powered solution that mitigates and monitors counterparty risk on a continual basis. D&B Risk Analytics uses best-in class risk data, including alerts for high-risk purchases and match points of more than a billion. This helps to drive informed decisions. Intelligent workflows allow for quick and thorough screening. Receive alerts on key business indicators.
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Cenduit IRT
Modern Interactive Response Technology (IRT) systems are becoming more intricate. The significance of flexible and customizable IRT cannot be overstated, as this technology serves as the primary source for essential data, including recruitment metrics, clinical trial attrition rates, patient attendance, and more. It is vital to select a platform that is intuitive, optimized for mobile use, and all-encompassing—underpinned by high standards of quality, adaptability, and expertise. Embrace a partnership that offers profound therapeutic knowledge tailored to the contemporary risk-based eClinical landscape. By merging advanced technology with specialized knowledge and a dedication to exceptional service, we enhance clinical trials to achieve favorable patient results. Our extensive understanding of clinical processes and supply chain dynamics fosters innovation, granting clients greater control over their Randomization and Trial Supply Management (RTSM) protocols. Our cutting-edge tools elevate quality assurance, improve site productivity, and enhance patient adherence significantly. Furthermore, our IRT platform is adaptable enough to cater to a wide array of studies, with the capability for full validation and deployment in just 30 days, ensuring efficiency in clinical trial operations. This swift implementation can lead to more timely data collection and improved overall trial management.
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Saama
Harnessing actionable insights from the leading AI-driven clinical analytics platform allows your teams to effectively manage risk and enhance performance throughout studies, systems, sites, and vendor relationships. The cutting-edge technology from Saama is specifically crafted to optimize workflows, automate labor-intensive tasks, and foster improved collaboration among various clinical functions such as operations, medical review, data management, biostatistics, and pharmacovigilance. Both sponsors and CROs depend on Saama's capabilities for data aggregation and AI solutions, which facilitate superior decision-making, minimize delays, and drastically reduce costs and timelines associated with drug development. By leveraging Saama's tools, you can accelerate the pace of clinical trial innovation. When your clinical data is centralized and continuously updated, it simplifies the lives of your ClinOps and medical review teams considerably. Furthermore, Data Managers, often undervalued, can shift their focus from repetitive tasks to the critical data points that truly drive project success, ensuring that their expertise is fully utilized in the process. This transformation not only enhances efficiency but also contributes to the overall quality of clinical outcomes.
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