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IBM Data Science
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IBM Data Science Pros and Cons: Top Advantages and Disadvantages

Quick AI Summary Based on G2 Reviews

Generated from real user reviews

Users commend the great support team of IBM Data Science, enhancing their overall experience and usage efficiency. (1 mentions)
Users appreciate the ease of use of IBM Data Science, complemented by excellent support for seamless integration. (1 mentions)
Users value the certification and practice notebooks provided by IBM Data Science, enhancing their learning experience. (1 mentions)
Users value the integration of multiple tools in IBM Data Science, enhancing ease of processing and usability. (1 mentions)
Users believe that reducing the cost of IBM Data Science could enhance its overall usage and accessibility. (1 mentions)

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4.1 out of 5

400 IBM Data Science Reviews

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400 IBM Data Science Reviews
4.1 out of 5
400 IBM Data Science Reviews
4.1 out of 5

IBM Data Science Pros and Cons

How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Cons
G2 reviews are authentic and verified.
Devyani G.
DG
QA Engineer
Enterprise (> 1000 emp.)
"Code less models"
Product Reviewed: IBM SPSS Modeler
What do you like best about IBM SPSS Modeler?

Best way to contribute to machine learning world without any code. In few click without touching keyboard we can make our models ready in few minutes, which is the best part I like in this software. Easy to use when we get familier with its tool. Review collected by and hosted on G2.com.

What do you dislike about IBM SPSS Modeler?

Worst interface and its to complex in stating and don't give guidance on how to use it. Its license is also so much expensive as not everyone can buy it. Its technical support replying time is also late as we have to wait for days to get a response form their technical team. Review collected by and hosted on G2.com.

GS
Data Scientist
Mid-Market (51-1000 emp.)
"IBM Watson Studio for End to end data science delivery"
Product Reviewed: IBM Watson Studio
What do you like best about IBM Watson Studio?

The best thing about IBM Watson Studio is the Quicker installation of a massive complex setup in a couple of hours. This provides great UI for developing the Machine learning models for business users as well, no need to know the technology in details. Review collected by and hosted on G2.com.

What do you dislike about IBM Watson Studio?

What I don't like about IBM Watson is the data Acquisition phase from other sources, like real-time data collection is challenging in IBM Watson, may be that feature is critical and needed. Review collected by and hosted on G2.com.

Anil K.
AK
Manager - Statistics (Data Science)
Enterprise (> 1000 emp.)
"Standard software to perform Statistical modeling and Analysis"
Product Reviewed: IBM SPSS Modeler
What do you like best about IBM SPSS Modeler?

Intrectional visualization is based on both drop-down and scripting. This feature makes it very strong Review collected by and hosted on G2.com.

What do you dislike about IBM SPSS Modeler?

Slow process while preparing complex tabulation. It should be more user friendly and fast Review collected by and hosted on G2.com.

Samrat S.
SS
QA Specialist
Enterprise (> 1000 emp.)
"IBM Cloud Private Review"
Product Reviewed: IBM Cloud Pak for Data
VN
Software Developer
Enterprise (> 1000 emp.)
"Best drag and drop software to organize machine learning models"
Product Reviewed: IBM SPSS Modeler
What do you like best about IBM SPSS Modeler?

1. One the best part which make it more valuable is its drag and drop system. Just search for the object we need in our model select it drag it to workspace and drop it.

2. Easiest way to execute our code ,ust connect the models with each other and press run button our model is ready.

3. Fastest way to make our model ready to represent to anybody.

4. Easy output representation help the user to understand the result easy and in best way possible. Review collected by and hosted on G2.com.

What do you dislike about IBM SPSS Modeler?

SPSS modeler is the best software for machine learning but sometimes during execution our file gets corrupted resulting in model crashing. And one more thing which is don't like its high cost which makes it more difficult to access for some developer. Review collected by and hosted on G2.com.

PS
S
Mid-Market (51-1000 emp.)
Business partner of the seller or seller's competitor, not included in G2 scores.
"Excellent Tool to track the outcome of intelligent AI"
Product Reviewed: IBM Watson Studio
What do you like best about IBM Watson Studio?

It has excellent NLP capabilities for Bot Building.

The bot building process is simple, and conversions are more engaging.

The team behind the tool is more active and giving more good features.

Bot performance is excellent.

Better API reference and good documentation. Review collected by and hosted on G2.com.

What do you dislike about IBM Watson Studio?

It is taking more time to load in IBM Cloud.

Dialogues take more time to get active.

More features need to use AI capabilities. Review collected by and hosted on G2.com.

SK
Software Developer
Small-Business (50 or fewer emp.)
"Best way to train Machine"
Product Reviewed: IBM SPSS Modeler
What do you like best about IBM SPSS Modeler?

Best way to train your machine as we only need the mouse to drag and drop which is the best part i like. And one more thing is like is we don't need to write any code to do or work Review collected by and hosted on G2.com.

What do you dislike about IBM SPSS Modeler?

I dont likes its interface too messy and hard to understand. It should be more organized and in some cases it don't accept files too Review collected by and hosted on G2.com.

Verified User in Education Management
UE
Enterprise (> 1000 emp.)
"Excellent for Beginners"
Product Reviewed: IBM SPSS Modeler
What do you like best about IBM SPSS Modeler?

IBM SPSS Modeler is an excellent platform for beginners to data analytics. It offers intermediate data modeling and processing tools, along with graphical representations. Review collected by and hosted on G2.com.

What do you dislike about IBM SPSS Modeler?

The software can be overwhelming for newbies. A beginners' guide or a how-to-use manual or walkthrough videos would be appreciated. Review collected by and hosted on G2.com.

Sai M.
SM
Student
Enterprise (> 1000 emp.)
"Has lot of potential but difficult UI"
Product Reviewed: IBM SPSS Modeler
What do you like best about IBM SPSS Modeler?

Very good tool for predicative analytics. Has all the features needed for the analysis of any data set. Additional has a very robust nature allowing it to be applicable for various needs. Review collected by and hosted on G2.com.

What do you dislike about IBM SPSS Modeler?

Main issue is the UI. The program looks and feels very dated. It is difficult for new users to be able to conduct simple regression models. The overall feel is not intuitive and will take a reasonable amount of practice to get the hang of. Additionally models produced with the program are lackluster and fail in comparison to other visualization tools, such as tableau. Review collected by and hosted on G2.com.

SP
Technical Architect
Enterprise (> 1000 emp.)
Business partner of the seller or seller's competitor, not included in G2 scores.
"A good framework for data analytics and more"
Product Reviewed: IBM Cloud Pak for Data
What do you like best about IBM Cloud Pak for Data?

Rich with many features like data virtualization, integrations with many tools, unique way of data processing, etc. Not only that CPD has integrations with many external tools it as it runs on kubernetes we can bring in any kind of process or tool into the cluster with some work.

Also IBM team supported very well throughout the process. They even let us use their sandbox for while until we get comfortable with the system. Review collected by and hosted on G2.com.

What do you dislike about IBM Cloud Pak for Data?

Cost of the tool is not that approachable for smaller companies. I guess just like other IBM tools even this comes with certain cost. Another important factor to consider is its complexity. As there are many feature it brings in more complexity to the tool. It will take some time/training to understand all the aspects of this tool. Review collected by and hosted on G2.com.

Pricing Insights

Averages based on real user reviews.

Time to Implement

6 months

Return on Investment

21 months

Average Discount

13%

Perceived Cost

$$$$$
IBM Data Science