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Why I love Dataiku as a Data Analyst
What do you like best about the product?
My first real analytics role began with me using Dataiku. I knew how to write SQL, but the platform gave me multiple options in terms of how to execute queries. Visual recipes were easy, and I of course had thr option to write the actual code too. Being able to track my transformations through the data flow made it easy for me to understand what was going on!
What do you dislike about the product?
I wish there were capabilities to do further excel like formatting within Dataiku. I typically have to export it and then work on the file to make it look pretty.
What problems is the product solving and how is that benefiting you?
Dataiku helps me obtain insights into our NBA tool used by Financial Advisors. NBA Measurement is a huge initiative for us, and as the lead analyst I'm responsible for doing many queries and understanding what are our trends.
Data ai
What do you like best about the product?
Dataiku is solid for a bunch of reasons, especially if you're working on data science or analytics projects with collaboration in mind. Here’s what makes it good:
What do you dislike about the product?
Nothing so farSteep Learning Curve (Initially): Despite being low-code friendly, the platform can feel overwhelming at first—lots of menus, concepts (projects, flows, scenarios), and configuration options.
What problems is the product solving and how is that benefiting you?
Data and ai
Awesome tool to get going with AI Agents!
What do you like best about the product?
Allows you to think about solving the problem and not get bogged down with figuring out the coding.
What do you dislike about the product?
A lot of places to look to find the correct tool
What problems is the product solving and how is that benefiting you?
Used by our manufacturing folks to probe a lot of data
Great Product With Tons of Potential
What do you like best about the product?
I like the ability to easily view data in numerous ways.
What do you dislike about the product?
Dataiku makes frequent updates that can sometimes cause issues to existing workflows.
What problems is the product solving and how is that benefiting you?
It helps to quickly and effectively transform data into useful reports and end uses.
Review of Dataiku DSS
What do you like best about the product?
Dataiku stands out for its user-friendly interface, collaboration features, seamless integration with various data sources, automation of repetitive tasks, and scalability for handling large datasets and complex workflows. It's a versatile tool suitable for both beginners and experienced data scientists, I primarily like it for citizen data scientists.
What do you dislike about the product?
It would be more helpful if Dataiku had auto-scaling virtual machines as part of their infrastructure. This will minimize overhead as an administrator for the application.
What problems is the product solving and how is that benefiting you?
Data preparation, data science, and limited ML ops cases
Great tool for performing Everyday Data Science & AI
What do you like best about the product?
The features and capabilities of the Dataiku. I find Dataiku as a one stop shop for doing everyday analytics, data science and AI.
What do you dislike about the product?
The infrastructure setup to host Dataiku stack on-premise was very painful. It took over 2 months just to setup the infrastructure to get Dataiku running on our cloud.
What problems is the product solving and how is that benefiting you?
1) It provides access to some of the most challenging to implement ML algorithms with just a click.
2) Helps fast track our journey through Data Science and ML use cases.
3) The low code and no code capabilities helps non programmers to get started with ML development and deployment quickly and efficiently.
2) Helps fast track our journey through Data Science and ML use cases.
3) The low code and no code capabilities helps non programmers to get started with ML development and deployment quickly and efficiently.
Great tool for anyone
What do you like best about the product?
You can do a lot with just drag-and-drop components, easy to use for people from non technical background. You can bring in your own models, connect to huge data sources, and even integrate with most of the tools.
What do you dislike about the product?
For large datasets, processing might slow down if it's not well-optimized or errors in joins can lead to recipes running forever. Could prompt some warning to handle such cases
What problems is the product solving and how is that benefiting you?
Dataiku solves the problem of siloed workflows by uniting data prep, modeling, and deployment in one platform. For me, that means I can prototype a model, share it with stakeholders, and automate retraining
Coder who loves dataiku
What do you like best about the product?
Visual capabilities, seeing my projects in a flow as well as the prepare recipe
What do you dislike about the product?
I wish there was a way to display images in a data frame without building an app or dashboard
What problems is the product solving and how is that benefiting you?
Building models, preparing data
Dataiku has empower my customer to take advantage of their data converting them in business value
What do you like best about the product?
Unique platform from access and clean the data upto realize value for the business
What do you dislike about the product?
Trying to setup the security path to dataiku (sas version) it was a little tricky because a lot of restriction from my customer. It was hard to stablish a vpn conexion among the points
What problems is the product solving and how is that benefiting you?
Analyze the underlying reasons for customer calls expressing dissatisfaction with service response times.
Enablement for non technical people
What do you like best about the product?
I like
How user friendly and easy it is for my tea
To learn
How user friendly and easy it is for my tea
To learn
What do you dislike about the product?
I wish there were better visualizations. I’m taking a lot of information from there and then using other tools to visualize
What problems is the product solving and how is that benefiting you?
I have engineered data between 5+ systems
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