Anaconda vs IBM SPSS

Anaconda

Anaconda is the best solution when you need to make more basic algorithm training. However, when the client necessity if completely new or there're poor libraries, anaconda is too basic.When designing algorithms, I find ai-one to be very useful. Other tools that more suitable than Anaconda for more complex tasks are protege, biffblue and Nervana Neon

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Mauricio Quiroga-Pascal Ortega

Senior Cognitive Solutions Consultant

Cognitiva IBM Watson Strategic PartnerComputer Software, 51-200 employees

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IBM SPSS

SPSS is useful in analyzing quantitative data to evaluate relationships among variables or groups of variables, to evaluate group differences in individual variables or groups of variables, to evaluate the psychometric properties of a measure or item, to manipulate and process data for use in reports and articles, to document analytical processes, and creating easily digestible analysis output. I use it in studies with thousands of participants responding to hundreds of questions. It enhances my ability to manage and use data.

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Mark Jackson

Research Strategist

The Church of Jesus Christ of Latter-day SaintsResearch, 10,001+ employees

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Feature Rating Comparison

Anaconda

7.5

IBM SPSS

—

Visualization

7.0

—

Interactive Data Analysis

8.0

—

Anaconda

7.0

IBM SPSS

—

Interactive Data Cleaning and Enrichment

7.0

—

Data Transformations

8.0

—

Data Encryption

6.0

—

Built-in Processors

7.0

—

Anaconda

5.7

IBM SPSS

—

Automated Machine Learning

4.0

—

Single platform for multiple model development

7.0

—

Self-Service Model Delivery

6.0

—

Anaconda

4.5

IBM SPSS

—

Flexible Model Publishing Options

5.0

—

Security, Governance, and Cost Controls

4.0

—

Pros

Integration of the most popular and useful Python packages
Managing multiple execution environments
Management of package dependencies

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Daniel Blazquez

Product Marketing Manager (technical)

Hdiv SecurityConsumer Electronics, 1001-5000 employees

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SPSS creates helpful output that can be adapted for producing report and presentation content.
SPSS allows the novice to use drop-down menus and the expert to use syntax. It also helps novices become experts by allowing you to paste and adapt syntax to meet needs.
SPSS has a wide variety of analytical techniques that are available in the statistical package. It is user-friendly.

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Mark Jackson

Research Strategist

The Church of Jesus Christ of Latter-day SaintsResearch, 10,001+ employees

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Cons

User Interface could be a little bit more clearer.
Error messaging can definitely be improved

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Verified User

Team Lead in Engineering

Computer Games Company, 51-200 employees

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A visual presentation of output in SPSS is lacking. I would never use graphs and charts as they appear in SPSS output unless I had no other alternative.
If I am working from a file that is located on a networked drive and I leave the network, SPSS frequently crashes.
SPSS is a large application that consumes significant resources. Especially if certain errors are present in complex and lengthy syntax, SPSS can take several minutes to process, even on a top-tier computer system.

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Mark Jackson

Research Strategist

The Church of Jesus Christ of Latter-day SaintsResearch, 10,001+ employees

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Likelihood to Renew

No score

No answers yet

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IBM SPSS9.1

Based on 14 answers

Tested, reliable, straight-forward to use.

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Verified User

C-Level Executive in Corporate

Pharmaceuticals Company, 11-50 employees

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Usability

No score

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IBM SPSS7.8

Based on 8 answers

Probably because I have been using it for so long that I have used all of the modules, or at least almost all of the modules, and the way SPSS works is second nature to me, like fish to swimming.

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Lance Huntley

Market Research Principal

HussmannSupermarkets, 1001-5000 employees

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Support

No score

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IBM SPSS6.3

Based on 4 answers

I have not contacted IBM SPSS for support myself. However, our IT staff has for trying to get SPSS Text Analytics Module to work. The issue was never resolved, but I'm not sure if it was on the IT's end or on SPSS's end

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Verified User

Analyst in Research & Development

Research Company, 11-50 employees

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Implementation

No score

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IBM SPSS6.8

Based on 3 answers

Have a plan for managing the yearly upgrade cycle. Most users work in the desktop version, so there needs to be a mechanism for either pushing out new versions of the software or a key manager to deal with updated licensing keys. If you have a lot of users this needs to be planned for in advance.

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Rebecca T Barber, MBA, PHD

Senior Director, Management Analysis

Arizona State UniversityHigher Education, 10,001+ employees

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Alternatives Considered

Anaconda is the best Python environment because you have all the things you need all in one places, at the reach of your hand. You can download and manage libraries as you wish and is very easy to create new projects and API's for all your stuff.It's Multiplatform so you don't have to take care to use your stuff in another computer. I think it is the best characteristic.

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Alejandro Daniel Copati

Desarrollador

Xavia IOTInternet, 1-10 employees

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IBM SPSS is the easiest to use program of various statistical software packages. It may not be able to run the most complex models (e.g., hierarchical modeling or modeling in groups) as easily, but for someone who just needs to run basic stats (e.g., t-tests, regressions, ANOVAs), it is the most user-friendly with great drop-down menus and a great graphical user interface (GUI).

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Elizabeth Minton

Assistant Professor of Marketing

University of WyomingHigher Education, 10,001+ employees

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Return on Investment

We save a lot of programming time, since all the add-ons are in the same environment.
Being multiplatform, Anaconda is perfect for work teams with many people, since it supports all operating systems.
The only negative thing that can happen is that at first, the way of working in Anaconda can be a bit confusing. Once passed the learning period, its daily use is very comfortable.

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Alejandro Daniel Copati

Desarrollador

Xavia IOTInternet, 1-10 employees

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This is difficult to quantify, but the results helped shift the approach from descriptive-based statistics reporting to inferential. This was particularly useful in judging the impact of CRO/UX changes made on the website and their likely benefits.
It's been used as a portfolio of arguments for where to place channel investment based on predictive regression models and this was seen as one of the most persuasive parts of an argument which then went on to prove effective.
Analysis carried out using SPSS in conjunction with a CRO package has led to an estimated 12% increase in online conversion.

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Verified User

Analyst in Marketing

Building Materials Company, 1001-5000 employees

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