STATISTICAL SOFTWARE

STATISTICAL SOFTWARE

1. SAS STATISTICAL SOFTWARE

   • Program for the manipulation and analysis of quantitative information, the number of users is large and with very varied interests, which has allowed the program to grow in different directions. Many of the users meet periodically to comment on their experiences with the use of the product.
   • FEATURES
     • It is composed of modules that have specific tasks and which are sold separately by the SAS institute, allows data manipulation and get some basic tables and measurements, operations research, quality control and time series analysis.
   • ADVANTAGES
     • It includes wide possibilities of statistical procedures (multivariate methods, multiple regression with diagnostic possibilities, survival analysis with proportional hazards and logistic regression) and allows exact calculations for r x c tables and contains powerful graphical possibilities

2. SPSS SOFTWARE

   • SPSS is a format offered by IBM for complete analysis. There are other different products in the suite, each of them offering its own unique characteristics, it is used to perform data capture and analysis to create tables and graphs with complex data, ability to manage large volumes of data and is capable of carrying out text analysis among other formats more
   • ADVANTAGES
     • It has a wide set of statistical methods multivariate, time series, logistic regression and survival analysis, some procedures have multiple options so the manual should be carefully examined before selecting the desired option, it is a cheap product, yes it is profitable.
   • FEATURES
     • If the user has no previous experience using SPSS or if his knowledge of statistics is not up to date, it is difficult to discern which options he selects and most of the results reports contain an excessive level of information that often confuses the user

3. SPAD SOTFWARE

   • It is a solution that integrates predictive analytics and machine learning recommendation models to analyze your data and improve the global response capacity of companies. It includes great datamining features with various predictive models and meets all your business needs, regardless of the type of business or industry you are in (banking, insurance, retail, industry, marketing, customer service, sales, etc. )
   • FEATURES
     • Not having the adequate information and quality would not give efficient results, also does not provide the results expected in time expected
   • ADVANTAGES
     • Linking the objectives to the needs of the company, perfect coupling to a plan of well-formulated research, carefully analyzes the variables involved in the investigation, ease of handling and programming and get information from the database of data