17 anos ajudando empresas
a escolher o melhor software
IBM SPSS Statistics
Conheça IBM SPSS Statistics
As organizações têm mais dados do que nunca, mas as planilhas e as ferramentas básicas de análise estatística limitam sua utilidade. O software IBM SPSS Statistics pode ajudar a encontrar novos relacionamentos nos dados e prever o que provavelmente acontecerá a seguir. Assista à demonstração em vídeo gratuita de estatística da IBM para saber como acessar, gerenciar e analisar facilmente os conjuntos de dados sem ter experiência anterior em estatística, eliminar a demorada preparação de dados e criar, manipular e distribuir informações para tomada de decisão.
Quem usa IBM SPSS Statistics?
Solução estatística no local que ajuda empresas de todos os tamanhos a melhorar a eficiência e gerenciar riscos por meio de análise preditiva, implantação de big data e biblioteca de algoritmos de aprendizado de máquina.
Está em dúvida sobre o IBM SPSS Statistics?
Compare com uma alternativa popular
IBM SPSS Statistics
Outras ótimas alternativas ao IBM SPSS Statistics
Avaliações do IBM SPSS Statistics
IBM SPSS TOOL : A great statistical tool for all statisticians and scholars to have
Utilização SPSS para análise de dados
Comentários: Para a realização de estudos, o software é bastante útil, permitindo uma maior rapidez na obtenção dos resultados.
Vantagens:
a facilidade em colocar os dados no software e a realização dos testes necessários para obter os resultados concretos.
Desvantagens:
As atualizações são constantes por isso, quando há uma nova temos que saber ler as novas aplicações de forma a compreender o sistema novo.
Alternativas consideradas anteriormente:
Timeless IBM
Comentários: IBM's predictive analytics and data SPSS statistics are among the most advanced statistical tools available on the market. With its powerful algorithms and intuitive user interface, it allows businesses to make informed decisions based on predictive analysis, trend forecasting and statistical modeling. IBM's software offers a comprehensive approach to data analysis that includes descriptive, predictive and prescriptive analytics, which can help businesses streamline their operations, reduce costs and gain insights into customer behavior. Overall, IBM's predictive analytics and data SPSS statistics is a powerful platform that can help businesses gain a deeper understanding of their data and make better decisions based on fact-driven insights.
Vantagens:
IBM's Predictive Analytics and Data SPAS Statistics Pro are powerful tools for businesses to harness the power of data and make informed decisions. With predictive analytics, companies can analyze historical data to identify trends and generate forecasts, allowing them to anticipate future market conditions and make appropriate strategic adjustments. Meanwhile, SPAS Statistics Pro provides powerful tools for data analysis, allowing users to rapidly uncover insights and generate actionable recommendations. By leveraging these solutions, businesses can gain a significant competitive advantage, enhancing their ability to make data-driven decisions and achieve their strategic objectives.
Desvantagens:
IBM’s predictive analytics and data SPSS statistics flaw has recently come to light as concerns have been raised about the tool's ability to produce inaccurate results. This has caused businesses and organizations to doubt the usefulness of the technology, as it may lead to incorrect decisions being made based on the data produced by the software. IBM is working to address the issue and improve the accuracy of its predictive analytics and data SPSS statistics, but in the meantime, it is important for users to be aware of this potential flaw and approach their data analysis with caution.
The history of statistics
Comentários: This is the software that I use the most for my work and, even if at times I have to struggle a little to perform "new things", I always find a way. I managed to automate many many tasks and I have reached a very high level of productivity, meaning that I can click a button, let the computer run all nights, and the morning after I find all the jobs done.
Vantagens:
The ability to perform almost all easy and complex statistical analysys without writing code AND the possibility to automate simple and complex tasks by actually writing code. This software is huge and it supports a very large set of feautures.
Desvantagens:
This software is a milestone for statisticians of all over the world. I've been using it for more than 30 years. This means that this software is aging more and more, and perhaps it needs a faster modernization cycle than the current.
Being in the field of Social Sciences is almost a requirement to get a complet analysis.
Comentários:
With SPSS it is possible to collect data, create statistics, analyze management decisions and much more. Gives the opportunity of doing complex analysis and take on prediction models.
The capacity of solving problems of applied statistics by brute force or by trying thousands of combinations to finally stay with what is believed to be the best for use.
Vantagens:
The importance of capture and analyze data to create tables and graphs with complex data. Its ability to manage large volumes of data and carrying out text analysis amog other formats. Being able to use the statistical software, with descriptive statistics such as tabulation and crossover frequencies, and correlation tests. The program allows you to take your data and easily create a wide variety of visual effects such as radial boxplots and density graphs.
Desvantagens:
In more complex programs you need to have programming knowledge, as well as to make the most laborious calculations. In statistics, often contradictory results can be obtained between different tests. It does not provide the expected results in the expected time. It sometimes leads to unnecessary sophistication by allowing the use of complex techniques to answer simple questions. If the user does not have previous experience using SPSS or if their statistical knowledge is not up to date, it is difficult to understand which options to select. The results reports contain an excessive level of information.
Alternativas consideradas anteriormente:
IBM SPSS for fast analysis
Comentários: IBM is good for academic research and analysis.
Vantagens:
Can provide accurate analysis without coding. There are range of analysis options to choose from. Light weight. You can integrate python programming language with IBM SPSS.
Desvantagens:
The User Interface is not modern. Mostly for academic research and analysis. Cannot embed charts. Charts are not interractive but static images.
