Man-hour management plays a crucial role in the pharmaceutical R&D project management process. For example, in CRO (Contract Research Organizations) services, charges are typically calculated based on the number of hours spent by project personnel multiplied by an hourly rate. Effective man-hour management directly impacts project costs. Additionally, accurate and scientific management of man-hours helps determine if resources are allocated efficiently, providing the necessary insights to optimize resource distribution, ultimately leading to cost reductions and increased efficiency.
CRO enterprises manage multiple R&D projects simultaneously, often introducing new projects along the way. The data formats and standards of these projects can vary significantly. Traditional project management software, due to its limited flexibility, struggles to handle the complex task of man-hour statistics. As a result, many companies are forced to regularly export man-hour data and manually clean and organize numerous data sets—a labor-intensive process. Project managers often find themselves overwhelmed by the workload, leading to delayed data updates and compromised decision-making support. Furthermore, manual processing increases the risk of data tampering, making it difficult to trace changes and complicating data verification for regulatory purposes.
The SDH Scientific Data Genome Platform provides an efficient, streamlined, and secure solution to these labor management challenges.
▶ Automatic Data Cleaning, Conversion, and Seamless Integration of New Data Tables
On the SDH platform, users can begin by selecting “File Connection & Management” under the Data Connection section and upload the monthly man-hour statistics to SDH.
Upon accessing the data editing page, a range of data cleaning and conversion tools, such as “Delete Empty Rows” and “Inverse Pivot,” can be employed to clean and organize the man-hour data. Additionally, the platform automatically generates “conversion rules” during the cleaning process, which can be saved for future one-click cleaning of similar data tables.
By customizing and saving the cleaned data, users can merge man-hour statistics from multiple months into a single dataset, enabling the quick splicing of multi-month data. Future project hour tables can also be seamlessly integrated with a single step.
▶ Multi-dimensional Reports with One-click Data Synchronization and Updates
Once data cleaning is complete, the platform’s BI reporting function enables comprehensive data analysis. The generated statistical reports can be saved, and subsequent updates to the man-hour data are reflected with a single click, allowing users to quickly access the latest analysis for informed decision-making.
Additionally, the SDH platform can integrate data from other systems, such as project management and material (reagent) management, enabling a comprehensive view of project costs, budgets, and expenditures.
▶ Robust Audit Trails and Permission Management for Data Security and Traceability
The SDH platform ensures that no data modifications can be made, and it includes strict audit trail and permission management features. Every operation is transparent, ensuring data security and traceability, providing multiple layers of protection.