[frame style=”modern” image_path=”http://www.hybridstat.gr/wp-content/uploads/2012/07/softwaredesign_bg.jpg” link_to_page=”” target=”” description=”” size=”two_col_small”]
[h1]Specialized software design[/h1]
Statistical software plays an important role across many real world and academic applications. The many types of statistical software allow users to quickly compute and display calculations that researchers previously computed by hand. During the past decade, complete statistical software solutions and individual libraries have matured and can now cover most of the everyday needs of academic and industrial analysts. However, this maturation has also led to overwhelming sets of features which are shipped together with each statistical package, leaving the simple end-user to navigate among endless menus and options in order to perform a simple cross-correlation.
In some cases, these features are welcomed. One such example is in scientific applications and basic research. In this case, users are often supposed to make progress through trial-and-error techniques, thus the availability of many features and techiques is essential. In addition, scientific applications often include massive data exploration and integration of data derived from different sources. In this case too, a rich set of statistical techniques is welcome. However, when it comes to prototyping a successful workflow and presenting work done, the availability of endless software features may render the prototype confusing. Thus, specialized statistical software that performs very specific tasks and optimizes performance becomes essential.
The need for specialized statistical software tools possibly coupled with a backend database hosting data from specific sources becomes even more essential in industrial applications┬á(e.g. the customers of a bank institution and their consuming habits or the sales trends of an e-shop specializing in car accessories). In such cases, the use of generalized statistical packages (e.g. SPSS, SAS, Minitab) or even worse, the use of statistical languages (e.g. R, S-PLUS) becomes prohibited, as the software users, either require special computational skills, or costly and long-period training.
Whatever your needs are, either your case falls in the aforementioned two (scientific, industrial) or you belong to another, more specialized category, HybridStat can help you optimize your project by providing customized software solutions. Specifically, HybridStat can:
- Design and implement statistical software fitting to specific needs after careful planning in collaboration with the customer
- Design and implement customer need-specific databases, optimized to interact with the custom software
- Specialized on demand custom functions in existing statistical software (R, MATLAB, SPSS) that is currently used by the customer