Speaking of data analysis, many small partners may immediately think of complex algorithms, huge data, and even dazzling codes. But in fact, operations do not need to understand these for data analysis. The key is your understanding of business processes and the thinking of using data to solve problems. This article will introduce the indispensable big data analysis tool that is frequently used in some fields, and the use of acceptable data analysis tools .
1、Excel
Excel is a spreadsheet software, I believe many people have used this software in the process of work and study. Needless to say how convenient and easy to use Excel is, easy to operate, even a computer novice can easily use it. For practitioners of big data analysis, Excel is powerful and provides many function calculation methods, so it is widely used. But at the same time, it also has its own limitations. For example, it is only suitable for simple statistics, and once the amount of data is too large, Excel cannot meet everyone's needs.
2 、 SPSS
SPSS is the general term for a series of software products and related services for statistical analysis operations, data mining, predictive analysis, and decision support tasks launched by IBM. There are Windows and Mac OS X versions. It integrates data entry, data editing, data management, statistical analysis, report making, and graph drawing. In theory, as long as the computer's hard disk and memory are large enough, SPSS can handle data files of any size, no matter how many variables are contained in the file, and no matter how many cases are contained in the data. SPSS is a software only used in business statistics. It provides us with classic statistical analysis and processing, allowing us to better deal with business problems. At the same time, while SPSS is easy to use, it has relatively few functions.
3 、 SAS
SAS is currently the most popular large-scale statistical analysis system in the world. It is known as the standard software for statistical analysis, and it is the software only used in commercial statistics. SAS is a data management and analysis software package that can complete various statistical analysis, matrix operations, and graphics. The functions of SAS will be a bit richer. The various functions of SAS are completed by functional modules. Powerful, complete and new statistical methods. It is easy to use, flexible to operate, and can provide online help. In addition, it will be difficult to identify the drive, but it can help reduce manufacturing costs.
4 、 Smartbi
Smartbi is a domestic business intelligence software, an industry-level business intelligence application platform. After years of continuous development, it has gathered many years of business intelligence best practice experience and integrated the functional requirements, product and technical strength of data analysis and decision support in various industries. There is no doubt.
Of course, business intelligence software is indispensable for data analysis , especially for business personnel. Smartbi provides a self-service analysis platform, visualized operations to establish data association models, and provides ETL tools to process data into independent data models, providing a full range of data analysis functions. On the C/S side, those who are familiar with Excel tools can directly perform multi-dimensional data analysis in Excel. The WEB side provides WYSIWYG dashboard design and rich icon interaction. Support ad hoc query, quick data query. Support multi-dimensional data analysis. The operation is simple and the function is rich, which is very suitable for business personnel to operate.
Data has become the most important valuable resource in modern enterprises. All decisions, strategies or methods need to rely on the analysis of data. As "big data analysis" gradually replaces its previous version, that is, "business intelligence", enterprises are facing a new era of more complex and larger scale of business intelligence. Hope these data analysis tools can help you!