Officially releases "Randeft," an R&D data management SaaS that serves as a stepping stone to data-driven R&D
Randeft, a product that solves the data management and sharing issues that 98% of researchers in universities and private companies are dissatisfied with, from a different perspective than existing products for R&D and analysis departments. Randeft is a product that solves the data management and sharing issues that frustrate 98% of researchers in universities and private companies from a different perspective than existing products for R&D and analysis departments. Randeft is not limited to R&D, but can be used in any department or industry that handles measurement data to manage data assets in anticipation of data utilization.
Randeft is a cloud-based SaaS product that centrally manages measurement targets and results, something that has long been lacking in R&D and analytical fields that handle measurement data. By giving context to data that previously could only be grasped and used by the measurer, and sharing it within the group, Randeft significantly reduces the frequent and unproductive tasks of finding data, requesting sharing, and re-measuring, allowing members of the organization to allocate their resources to higher value-added tasks. In addition, by storing metadata in a usable form, it establishes a data management system that can adopt a data-driven approach at any time.
Key Features and Value We Can Provide
The main Randeft features available at this time are
Stores measurement results and information about the sample to be measured in relation to the results.
Interactive graphs displaying measurement results with a single click
Viewing privileges can be set for each research project
Sample and measurement metadata management
These features provide the following values that are difficult to achieve with traditional file-centric R&D data management
Faster searching eliminates the need to dig through deep folder structures and open files one by one to see their contents.
Easier visualization Eliminates the tedious work time on spreadsheets that used to occur each time measurement data was visualized.
More secure sharing Easily control permissions that were not possible with email attachments or file servers.
You can more easily adopt a data-driven approach. You no longer need to spend an inordinate amount of time organizing and pre-processing data.
The sample and measurement management functions provided by Randeft solve a variety of problems caused by inadequate data management that are faced by departments that handle measurement data, such as laboratories, business development groups, and cross-organizational dedicated analysis departments. For example, the following use cases are possible
The prime nature of the data left behind by the predecessor can be understood. The retention of context that can be understood by others besides the person in charge facilitates the use of data, including data-driven approaches.
You can learn business knowledge from past data. You can keep past data useful for OJT in a form that is easy to refer to when needed.
Try out data-driven methods that could not be realized. Data collection and preprocessing time is greatly reduced, making it easier to implement machine learning and statistical processing ideas.
You can present product analysis data in a flexible manner at business meetings. You can immediately present information that is not in the catalog according to their interests and gain their trust.
Discussions can be held with data that was not included in the materials during the meeting. Data that is suddenly needed during a discussion can be presented immediately, allowing decisions to be made on the spot.
It becomes easier for the analysis department to refer to past requests from the same business unit. By looking back at past data, it becomes easier to verify the reliability of measurement results and examine measurement conditions.
Standard data collections are easier to share. Standard data in each measuring device can be shared among members in a form that is easy to utilize, eliminating duplicate measurements.
Comparison with existing products
There are two existing product categories in the R&D data management market: LIMS (Laboratory Information Management System), which excels at recording large amounts of routine data, and ELN (Electronic Laboratory Notebook), which is designed to digitize experimental notes. Randeft is a new category of product that was created to solve the problems of materials research sites that do not fit into either of these categories. Randeft is a new category of product that was created to solve the problems of material research sites that do not fit into either of these categories. Randeft is a new category of product that was created to solve the challenges of materials research, where neither of these solutions fits. Randeft is an unprecedented product that falls between these existing products and tailor-made, in-house systems.
Test User Testimonials
Users who are using Randeft on a test basis have given positive feedbacks, such as "I no longer have to ask students to visualize data, which saves me the trouble of checking progress, and I feel more at ease because I no longer have to stress about making others go through the trouble of doing what I ask them to do. (Faculty member, Materials Science Laboratory, National University of Japan).
In addition to eliminating friction related to data input, such as linkage with a wide range of measuring instruments, and improving the convenience of data retrieval and display, we will improve existing functions based on user feedback and develop data utilization functions specialized for specific methods. Development will continue with the aim of making the system an indispensable data storage and utilization infrastructure for R&D and analytical work in industry and academia.
If you are interested in our products, please contact us through the inquiry page on our website.