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Clean user experience and easy to use
What do you like best about the product?
Dataiku provides tutorials on its many aspects. For example, there is a tutorial for building and training models for your dataset.
What do you dislike about the product?
The free version does not come with a basic server to keep your datasets/flows on.
What problems is the product solving and how is that benefiting you?
As part of work, we are solving social analytics and how social media can help us drive our decisions for the people
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Perfect tool in the market for data workflow
What do you like best about the product?
This software is very helpful in attracting multiple users, the analyses it does are excellent, the interface it offers is very clean and easy to use for data engineering, data analysis and data visualization, innovation and constant improvements of the platform, such as its latest integration with GitHub, for example, make the tool a great added value, the perfect tool to gather data and expertise on the subject throughout the company and to ensure security. It also has a great collaboration environment and complete parameterization of Predictive and Machine Learning algorithms, with full access to its source code.
What do you dislike about the product?
I wish there was a free version of dataiku elements", plus it doesn't do tasks on its own, but they're just small things.
What problems is the product solving and how is that benefiting you?
It helps us a lot with email, retail, automotive, marketing, tourism, etc. It is perfect for predictive maintenance, demand forecasting, dynamic pricing and more.
Recommendations to others considering the product:
This software is highly recommended. I would say you can trust it.
Best tool for both data scientists and data engineers
What do you like best about the product?
Easy of use,We are using it to build data pipeline for our data lake.It takes care of all the configuration things ,engineers just need to concentrate on scripting
What do you dislike about the product?
Some of the restrictions on the platform,a better scheduler would be a good one
What problems is the product solving and how is that benefiting you?
Data pipelining made simple
Excellent Technology to Drive Self-Service Data at Enterprise Scale
What do you like best about the product?
Dataiku Data Science Studio is a great technology for engaging users through multiple parts of the analytics life cycle across all skill levels in any division of the business. This makes it an excellent tool for bringing together data and subject matter expertise across the company and for ensuring governance and security.
Additionally, Dataiku has many strong technologists in it's organization that ensure that the tool continues to evolved and stay contemporary in a fast moving space.
Additionally, Dataiku has many strong technologists in it's organization that ensure that the tool continues to evolved and stay contemporary in a fast moving space.
What do you dislike about the product?
Licensing negotiations can be difficult and pricing is high enough that it can make stakeholders shy away.
What problems is the product solving and how is that benefiting you?
Enabling Self-Service Data at an enterprise scale. Specifically for data engineering and data science work. Benefits have included multi-million dollars of savings and democratization of data and analytics across the business.
Recommendations to others considering the product:
Do a careful analysis of the vendors in this space and make sure you focus on technical capability. Many of the easier evaluation methods (especially quadrants) can be misleading because they do not weigh technical capability and enterprise capability as heavily as they should.
Dataiku is the best data workflow tool in the market!
What do you like best about the product?
Dataiku offers a very clean, intuitive and user-friendly interface with functionality for data engineering, data analytics and data visualization. The visual recipes specifically and the ability to transform data without writing code is the best feature of the tool. The ability to easily schedule jobs inside the tool itself is a great feature as well. Unlike most of it's competitors, allowing in database execution is what sets Dataiku apart from the rest. The innovation and constant improvements to the platform such as their latest integration with GitHub for example make the tool a huge value add. Lastly, the user friendly staff that is dedicated to customer success is simply phenomenal to work with.
What do you dislike about the product?
The tool lacks good data visualization functionality. It does not offer drill down functionality in visualizations or interactive charts that work together. Additionally, the license cost is definitely on the higher end.
What problems is the product solving and how is that benefiting you?
Beyond supporting projects in every organization of the business such as Engineering, Supply Chain, Finance, Marketing, etc. the tool has enabled non-technical business users to build their own sustainable data products in our shared data lake environment. It has played a key role in our digital transformation.
Recommendations to others considering the product:
Definitely go for it! It's a great tool and a very innovative company.
It help me as a data scientist to explore multiple fields on a single platform
What do you like best about the product?
It's a single platform to compute possibly everything and very user friendly.
Supports all the programming languages that are in market today. Very robust and adaptive to new processes and technologies
Supports all the programming languages that are in market today. Very robust and adaptive to new processes and technologies
What do you dislike about the product?
NoIt performs tasks on its own so we get less chances to explore our knowledge
What problems is the product solving and how is that benefiting you?
Using dataiku to implement NLP on a dataset consisting publications in the university business school. Performing data manipulation activities using regression and cleaning
Recommendations to others considering the product:
It's a need of the hour to invest time n learn this amazing tool as it's used in is really growing in most of the industries
Fully collaborative, high ROI and productivity-oriented data science platform
What do you like best about the product?
- very intuitive yet complete data science platform
- connecting to any kind of data bases (SQL, NOSQL, HADOOP, Cloud, Internet Server, FTP, etc)
- all the data-transformation, ML and scoring workflow can be exported to Python, R or other script
- possibility to plug-in pre-existing scripts in Python, R,
- collaborative environment
- full parametrization of the Predictive and Machine Learning algorithms, with full access to their source code
- beautiful interface that allows the data science user to increase productivity and get the things done, with absolutely no time wasted on struggling with the software
- connecting to any kind of data bases (SQL, NOSQL, HADOOP, Cloud, Internet Server, FTP, etc)
- all the data-transformation, ML and scoring workflow can be exported to Python, R or other script
- possibility to plug-in pre-existing scripts in Python, R,
- collaborative environment
- full parametrization of the Predictive and Machine Learning algorithms, with full access to their source code
- beautiful interface that allows the data science user to increase productivity and get the things done, with absolutely no time wasted on struggling with the software
What do you dislike about the product?
- data visualization could be improved
- a free "dataiku elements" version would be awesome
- a free "dataiku elements" version would be awesome
What problems is the product solving and how is that benefiting you?
Many succesful applications for Oil and Gas industry, fin-tech, e-commerce, retail, automotive, marketing, tourism, etc.
Especially useful for the following workflows:
> Predictive Maintenance
> Dynamic Segmentation
> Churn detection and minimization
> Customer Lifetime value prediction
> Demand Forecast
> Dynamic Pricing
Especially useful for the following workflows:
> Predictive Maintenance
> Dynamic Segmentation
> Churn detection and minimization
> Customer Lifetime value prediction
> Demand Forecast
> Dynamic Pricing
Best Data Analysis Software
What do you like best about the product?
The setup process was really easy and clear. I was able to start using the functions very quickly. I like the User Interface and the ease of using the controls. I would definitely recommend this software to anyone looking for full fledged data science abilities.
What do you dislike about the product?
I just wish that there should be a FREE light version.
What problems is the product solving and how is that benefiting you?
Trend analysis and root cause analysis
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