Ritme
The strategic partner of research teams
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Home Analysis
Specialised data analysis solutions.
These software packages are used to extract, process and explore complex structured or unstructured data with the aim of refining the interpretation of results and assisting in decision making
These are software packages designed with different specific statistical languages, but also more general applications that automate different data manipulation operations, from survey analysis to data visualisation. With these tools, we can efficiently generate useful information and many results from quantitative and qualitative analysis and data collection while combining visualisation, predictive analysis, deep learning and AI.
NVivo is the qualitative data analysis software designed to provide you with a workspace where you can organize, visualize, and analyze your unstructured and qualitative data. NVivo handles multiple data sources and formats such as interviews, survey results, images, audio or video interviews, newspaper articles, web page content and social networks.
EViews, the world’s leading econometric software company, offers companies, researchers and government organisations access to a powerful statistical modelling and forecasting tool with time series expertise.
GAUSS, the historical reference for statistical software, has been used for nearly 20 years by professionals in fields requiring large-scale statistical and mathematical processing.
Stat/Transfer is designed to simplify the transfer of statistical data between different programs.
Stat/Transfer seamlessly recognizes and converts over 30 data formats including R, Excel, MatLab, GAUSS, Stata, SAS, SPSS and all ODBC data sources (Oracle, Sybase, Informix…).
KaleidaGraph is the tool for 2D analysis and visualization of experimental data. It is designed for research, engineering and industry. User-friendly and powerful plotter, it transforms your data into a professional quality graph.
The Sphinx software suite is the reference for all your research projects, from data collection to analysis and communication of results. It allows you to design expert and interactive questionnaires to mobilize respondents and distribute surveys on all media (Web, Paper, Smartphone, QR Code, SMS…).
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Data governance is a fundamental step in the digitalization of your laboratory. When done properly, it brings clarity and quality to the management and valorization of your data.
This strategic notion helps to avoid the pitfalls related to poor data management and architecture. The stakes are multiple:
Our teams work with you at every step, from defining clear data management policies, to setting up secure collection and storage processes, defining roles and responsibilities for managing access to your data and ensuring regulatory compliance.
We intervene as part of the implementation of a laboratory management solution (ELN, LIMS…) or as part of a global reflection to better valorize your data while providing you a certain level of autonomy by the implementation of good practices.
Laboratories are increasingly concerned with the implementation of quality processes (such as GxP) to control processes and resource management. These obligations concern analysis and quality control laboratories, but also R&D laboratories, whose activities are increasingly regulated.
Contrary to some common beliefs, the implementation of an adapted quality process allows to gain in efficiency and productivity. This drastically reduces the margin of error in processes, the time of information research or the repetition of certain experiments due to bad manipulations. Laboratories implementing a Quality policy thus develop a strong competitive advantage and considerably reduce the time to market for new products or technologies.
Ritme proposes to put at your disposal its network of experts around two axes:
Do not hesitate to contact us to take advantage of our expertise and take your quality processes to the next level!
Every new project requires support. What does this involve?
First, it is not a magic recipe, but rather of making the stakeholders understand where we are going, how and why. The main point is therefore communication.
Communicating about change means creating a desire to participate by helping the teams concerned to appropriate the vision of the future.
It is also essential to adapt one’s actions according to their reactions. Generally speaking, any significant change goes through 4 phases: denial, resistance, exploration and commitment. To get everyone commited, it is crucial to be methodical and to focus on what makes the project move forward.
Change management is also a lot of psychology to deal with:
We intervene throughout the project to help your managers communicate well and adapt their transition action plan.
Born in the 1990’s, Agile Management corresponds to a management method for organizations that promotes values such as reactivity, flexibility and the collective intelligence of teams, while also encouraging collaborative work and interaction. This management approach aims to optimize project management and to strengthen the ability of organizations to react quickly, particularly in the face of change.
This revolution is slow to be adopted in the R&D environment, even though this environment calls for flexibility and adaptability in the context of frequently changing projects.
Ritme proposes to support laboratory managers in the implementation of Agile Management by tailoring a customized training and coaching program with you, to get teams on board with a more suitable approach to their constraints. The benefits are numerous:
A modernizing laboratory must not only digitalize its tools and processes but must also integrate the managerial dimension in its transformation: Ritme also supports research teams in the implementation of Agile methods applied to management in order to bring efficiency, adaptability and involvement on daily basis.
