9 Faktor Penentu Kualitas Software Analytic Indonesia

Now, Indonesian analytic software that is used to analyze statistical data is now widely used. In the business world, the use of analytic software itself is widely used to analyze data related to corporate finance, such as profit predictions, loss predictions, company prospects, and also all matters relating to the numerical elements in a company.

All data relating to matters that can support the progress of the company can be done quickly and easily just by using the software. The results of the company's data processing which is done using the software becomes more valid and can be trusted because it uses computing in processing existing data. This can reduce the risk of miscalculation in a company's statistical analysis. But before choosing a good software to process statistical data, the following will be explained in determining the quality of Indonesian analytic software.

1. Functionality
Functionality is one of the determinants of the quality of Indonesian analytic software that can be used to assist you in analyzing a data. A software that will be used must function properly as described by the software developer. Although the look of the software is very beautiful, but if it doesn't work as expected, it can be said that the quality of the software is not good enough.

2. Low Resource
Code optimization and also the algorithm that will be used to create a software will be influenced by resource requirements. Therefore, good software is one that has a low resource. The resources referred to here can be in the form of processor, memory, storage media, bandwidth requirements, and also battery integrity. When going to use software that is used to process statistical data, choose analytic software that has a low resource.

3. Speed
The speed factor can also affect the quality of a software. Quality software must be fast or responsive in providing output. Choose analytic software that prioritizes speed in responding to the entered statistical data.

4. Multi platforms
Good quality software must be able to be used and accessed anywhere and anytime. In addition, the software must be accessible to a variety of devices that the user likes.

5. Multi languages
Multilingualism is one of the determinants of good software quality. In analyzing statistical data, sometimes beginners are still confused using software that does not use Indonesian. Therefore, software that provides an interface according to the user's location and language used will greatly assist you in processing or analyzing statistical data.

6. Multi User
If in the past it was possible that standalone software was still widely used, now such software is no longer relevant to user needs. Therefore, use analytic software that can be used simultaneously by several users at once to make the process of analyzing statistical data easier to do.

7. Intuitive Display
Good analytic software must be intuitive. Intuitive means that the user will immediately be able to know the function of each toolbar button, menu, or display contained in the software. Intuitive software will be easy to use so that data processing jobs will be completed more quickly.

8. Community
The community is also a determining factor in the quality of analytic software that will be used. More and more users of the software indicate that the software is good to use. Things that indicate the number of users of the software are mailing lists, groups, and also forums on the internet that discuss the software.

9. Support
The quality of the software is also determined by the support of the developer company. In choosing Indonesian analytic software, use software that has the support of the developer company. One sign of support from the developer is a software update. The more often the developer updates the software, it can be assured that the software will be more functional, safe, and stable.

These are some of the factors that can affect the quality of Indonesian analytic software that you can use to process and analyze statistical data in various fields, especially those related to the business world. With quality analytic software, the statistical data needed to support business progress in a company will be even easier to process. Thus, the results of the analysis will be easy for you to use for decision making related to corporate finance.

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