TrustRadius: an HG Insights company

IBM SPSS Statistics

Score8 out of 10

415 Reviews and Ratings

What is IBM SPSS Statistics?

SPSS Statistics is a software package used for statistical analysis. It is now officially named "IBM SPSS Statistics". Companion products in the same family are used for survey authoring and deployment (IBM SPSS Data Collection), data mining (IBM SPSS Modeler), text analytics, and collaboration and deployment (batch and automated scoring services).

Media

SPSS Statistics Forecasting. This enables users to build time-series forecasts regardless of their skill level.
SPSS Statistics Regression. These predict categorical outcomes and apply nonlinear regression procedures.
IBM SPSS Statistics Neural Networks. These can discover complex relationships and improve predictive models.
IBM SPSS Statistics Curated Help. These can interpret correlation output.
IBM SPSS Statistics AI Output Assistant interprets statistical output in easy to consume language

1 / 5

IBM SPSS Statistics scientific pioneer

Use Cases and Deployment Scope

For scientific paperwork's.

Pros

  • Data Analyze
  • regression analyze
  • statistics

Cons

  • autosave function
  • more attractive gui
  • free for academic community
  • more output formats

Return on Investment

  • time saving
  • money saving

Other Software Used

IBM Watson Discovery, IBM Watson Language Translator (discontinued)

well decided product to buy

Use Cases and Deployment Scope

We are using IBM SPSS Statistics for our employee fraud module we developed to check and find unexpected actions taken place by our employees

Pros

  • data clearance
  • reaching data in a simple way
  • getting expected data in expected way

Cons

  • make it more user friendly

Return on Investment

  • time saving from automating manual data processing
  • staff saving from processing data manually and save from relying on them to do their job without missing any details

Alternatives Considered

IBM API Connect and IBM App Connect

Other Software Used

IBM App Connect, IBM API Connect

IBM SPSS Statistics

Use Cases and Deployment Scope

We use IBM SPSS Statistics in our research studies for Quantitative data. The feature set is very easy to learn. The training that is given on the product is also very well done and accessible. I have used it in several studies for the university and plan to use in several of my future studies.

Pros

  • User Interface
  • The variety of feature sets
  • Ease of Use

Cons

  • Use of Delphi
  • Ai feature sets
  • .

Return on Investment

  • For research, it is the best product that I have worked with

SPSS Overview

Use Cases and Deployment Scope

We use SPSS Stats to gain insights into our data and customers data. With customers data, we help them gain insights about customer problems such as: 1) Customer acquisition. 2) Marketing campaigns. 3) Predictive Analysts.

Pros

  • Predictive Analytics
  • Prescriptive Analytics

Cons

  • Would like to see SPSS Analytics & Modeler together.
  • User Interface

Return on Investment

  • SPSS Stat helps our company gain insights into our data
  • Better overall decision making
  • Purging data.

Alternatives Considered

SAS Analytics Pro

Other Software Used

IBM Cognos Analytics, IBM Planning Analytics

IBM SPSS Statistics Review

Use Cases and Deployment Scope

I use IBM SPSS Statistics for: Access to data in different formats (Excel, Oracle, Csv. etc) Transformation and creation of various indicators. I currently use IBM SPSS Statistics software to make sales forecasts with external variables that help me identify which variables impact the sales. Also used to perform Churn analyzes using logistic regression and decision making techniques. Great ease of interpretation and no need for programming by doing everything through the menu and saving the program with a single button.

Utilizo IBM SPSS Statistics para: Acesso a dados em diversos formatos (Excel, Oracle, Csv. etc) Transformação e criação de variáveis ​​e indicadores. Atualmente utilizo o software IBM SPSS Statistics para realizar previsões de vendas com variáveis ​​externas que me ajudam a identificar quais variáveis ​​impactam as vendas. Também o utilizo para realizar análises de Churn usando regressão logística e técnicas de árvore de decisão. Grande facilidade de interpretação e sem necessidade de programação realizando tudo através do menu e salvando a programação com um único botão.

Pros

  • Access to various databases
  • Data transformation and works very well with dates
  • Creation of visualization tables with different levels
  • Ease of creating different models with different techniques

Cons

  • Add button that transforms IBM SPSS Statistics syntax into python
  • Outputs results in format like Cognos
  • Place the mouse on the column and it will show a distribution graph

Return on Investment

  • Reduction in working time, 75% reduction in time.
  • Increase in sales by 25%. More accurate forecasts and inventory reduction
  • Churn reduction and retention of the best customers and customer satisfaction with an 80% reduction rate.
  • Speed in creating and implementing models increasing productivity by around 60% agility.

Alternatives Considered

IBM SPSS Modeler

Other Software Used

IBM SPSS Modeler, IBM SPSS Statistics, Python Package Index (CheeseShop)