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Dataiku in my company
What do you like best about the product?
It makes our lives easier and it helps us detect opportunities and risks.
What do you dislike about the product?
Lack of information when getting new updates
What problems is the product solving and how is that benefiting you?
It's helping us solve optimization problems as well as demand prediction in the short and long term.
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Easy to use Data Analytics Platform
What do you like best about the product?
The UI is easy to use, it just take me small amount of time to learn and understand the concept related to Dataiku and can create my own flow. The CS is very responsive, the reply to my question very fast.
What do you dislike about the product?
I think Dataiku is already working with the latest trend of Ai, but I think it would be better if It include feature like the integrate between copilot & VS code, which allow seamless generation of code by AI
What problems is the product solving and how is that benefiting you?
Dataiku solves problems like complex data pipeline management, collaboration within teams, and automating repetitive AI/ML tasks. It benefits me by simplifying workflows with a visual interface, also me and my teammate could collaborate more easier in the platform.
Influencial
What do you like best about the product?
Approach to Agentic AI, presented during the demos
What do you dislike about the product?
Lack of Hands On Labs on the website. For developers its useful to try the Agentic approach in identifying areas of innovation
What problems is the product solving and how is that benefiting you?
We do not use Data Iku for now
Good
What do you like best about the product?
click and go approaches are easy and efficient
What do you dislike about the product?
I want to extract the code for the click and go operation that we conduct.
What problems is the product solving and how is that benefiting you?
increasing efficiency
Data science for non data scientists
What do you like best about the product?
Very intuitive interface, easy to configure and build intelligent models with.
What do you dislike about the product?
It sometimes just doesn’t work when you are executing models.
What problems is the product solving and how is that benefiting you?
Improving marketplace approvals
Platform suitable for both - Advanced Data Scientists and Analysts as well as Beginners
What do you like best about the product?
The capability to use custom code besides its built-in features that help augment the outcome. Also, the timely response from its Customer Support to address questions and blockers is a huge plus.
What do you dislike about the product?
The use of inferred data-types in several of its built-in recipes - that may cause downstream issues when the original data type mismatches the inferred type.
What problems is the product solving and how is that benefiting you?
Custom coding in modular form augmented by its built-in features
Very organized and informative
What do you like best about the product?
Elastic and agnostic to supplemental technology.
What do you dislike about the product?
Dataiku is still not as well known in the technology sector.
What problems is the product solving and how is that benefiting you?
Predictive models and customer segmentation.
Great product with many flexibility and plug-ins
What do you like best about the product?
End-to-end platform: From data ingestion and preparation to model deployment and monitoring, Dataiku covers the entire lifecycle of a data project. This eliminates the need for disparate tools and streamlines the entire workflow.
Collaborative environment: The platform fosters seamless collaboration through shared projects, commenting, and version control. This ensures everyone is on the same page and contributes their unique expertise. My coworkers share their projects with each other and work together on some projects.
Extensive integrations: Dataiku integrates seamlessly with a wide range of databases, cloud platforms, and machine learning libraries. This flexibility allows us to leverage our existing infrastructure and resources. I just learned that a new R library was added recently which could make our life easier on data manipulation.
Robust model management: The platform provides comprehensive tools for tracking model performance, managing versions, and ensuring compliance. This is critical for maintaining the accuracy and reliability of our data-driven decisions.
Collaborative environment: The platform fosters seamless collaboration through shared projects, commenting, and version control. This ensures everyone is on the same page and contributes their unique expertise. My coworkers share their projects with each other and work together on some projects.
Extensive integrations: Dataiku integrates seamlessly with a wide range of databases, cloud platforms, and machine learning libraries. This flexibility allows us to leverage our existing infrastructure and resources. I just learned that a new R library was added recently which could make our life easier on data manipulation.
Robust model management: The platform provides comprehensive tools for tracking model performance, managing versions, and ensuring compliance. This is critical for maintaining the accuracy and reliability of our data-driven decisions.
What do you dislike about the product?
The running engine could be tricky, there is no one engine can run it all. Sometimes I have to try different engines to make it work.
What problems is the product solving and how is that benefiting you?
We have data lives in different platforms, such as Google Cloud BigQuery, Helix, Microsoft Excel etc. Our team need to get data from those different data sources and run the ETL process, manipulate the data and generate a single analytical data file for different uses. Dataiku can help use to achieve that goal by the visualized receipts.
Another problems is our team has different Data Science skillsets, such as Python and R. Each member created their piece of logic using their preferred coding language. We need to put all their pieces of logic together and generated a unified logic to generate an analytical dataset. We can use Dataiku as a single platform to incorporate Python and R codes together.
Another problems is our team has different Data Science skillsets, such as Python and R. Each member created their piece of logic using their preferred coding language. We need to put all their pieces of logic together and generated a unified logic to generate an analytical dataset. We can use Dataiku as a single platform to incorporate Python and R codes together.
An innovative approach to data analytics
What do you like best about the product?
The platform seems very user friendly. The data visualizations are easy to select and implement using the data.
What do you dislike about the product?
although it is user friendly for the beginner data analyst, it is clear that a basic or fundamental understanding of programming and data analytics is important for full benefit of the product.
What problems is the product solving and how is that benefiting you?
Text analysis from scanned documents and converting to data to be analyzed, predicting values given a set of conditions, creating data visualizations / dashboards
great analytics and data science tool!
What do you like best about the product?
The software is very easy to use and has great learning materials
What do you dislike about the product?
Some of the user interfaces are a bit unintuitive, but can quickly be learned.
What problems is the product solving and how is that benefiting you?
Exploratory analytics, streamlining workflows and automating manual efforts
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