Data Science that makes
an impact without
Datenea is the tool that makes your job and managing projects easier: minimize costs and time, reuse your code and processes and boost cooperation between teams. On top of that, you can channel all your data knowledge into a single asset thanks to standardization.
Save time from development and focus on data analysis for your company.
Break down complex analysis into flexible step-by-step processes where you can add or remove any part.
Share your progress with the rest of your team.
Keep your developing tools (Jupyter, Rstudio, etc.) thanks to an intuitive API with built-in libraries.
Access all your data at once and simplify management of data sources.
Monitor performance from a single dashboard, regardless of the project.
Validate, reject, improve or comment development and results from your team in a fast and straightforward way.
Focus on what’s important: analyze results and create value for your business.
Funnel your projects into assets for your company by reusing them through cloning or abstraction.
Relieve your data scientists from the complex management of data sources.
Dynamize the management of resources assigned to projects.
Datenea helps you create and manage your Data Science projects: resources, tasks, assignments, task status, time planning, etc. A fast-code development environment that helps you focus on analysis and shared knowledge.
Datenea lets you uncover tasks in order to share them with your team. You can also execute them remotely through Kubernetes or register each execution and its results. Datenea also provides peer review tools to validate results and minimize dragged-on errors.
Submit for Validation
Edit your code directly through Datenea and automatically synchronize with your usual repository, using the same developing tools thanks to the built-in SDK (available for Python and R).
Prepare Tournament Seeds data. No need for processing. Check the format and generate a KPI from the number of seasons and the register number per season.
Execute Data Quality and Profiling
Datenea has built-in Python and R libraries for working in local environments. These libraries let us access project data in a simple way, as well as registering results.
You have two options:
Contact us to learn more about each option.
Datenea is tailor-made to the needs and particularities of each client. Contact us to describe your case and we will provide an estimate.
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