Business Intelligence (BI) offered by Numerics includes various methods of data analysis and data presentation allowing for fact-based decisions across the company. Numerics provides a variety of ways such as query tools for reports, dashboards, or management cockpits in order to make relevant information available. More important are data discovery systems for visual analysis of data. Thereby users are enabled to recognize trends or forecasts of relevant outcomes in real time. By an explorative approach new relationships and patterns can be revealed even in complex data and thereby literally new insights can be gained. Numerics supports companies by providing operational and strategic information quicker and more streamlined, and in making their processes smarter and more efficient, allowing for evidence-based decisions.
Official statistics, financial reports, and other routine reports are mostly processed in periodic time intervals (i.e., monthly, quarterly, etc.) and often being structured with respect to geographical distribution. The automated reporting enables producing these reports in a standardized process, taking account of these dimensions- either batch-wise or increasingly interactively by means of a customized user interface. Thereby repeated analyses are being produced efficiently and with consistent quality- yielding custom specific results in a timely manner.
Applications which are run and parameterized via GUIs (Graphical User Interface) allow for selection of the results according to specific hierarchy levels (drill-down). Numerics realizes applications with respect to increase the usability both of automated reports and for exploratory data analysis (see section “visualization”). The main advantages are central navigation and faster access to results, which in turn results in a more efficient handling of information.
Big data is characterized by very large amounts of data that are generated at a high pace and high heterogeneity, respectively. This imposes special requirements with regard to cost-effective, innovative forms of information processing. Based on the in-memory technology large amounts of data can be processed and displayed in real time these days. Numerics is working primarily with SAS Visual Analytics Software with the aim to provide analytical methods for forecasting. Increasingly important is the visualization of data in real time. Thanks to new insights into relationships and patterns thereby questions can be answered in an instant manner.
Directed “Data Mining” is characterized by creating models based on large databases, so as to enable predictions about expected behavior such as customer preferences with known specific criteria. In contrast “Exploratory Data Mining” aims to segment data due to similarities in subgroups or clusters hereby dividing people with similar behavior into customer segments. Specific statistical methods such as multiple regression analysis, decision trees, or neural networks are the toolset. In the explorative, context visualization gains importance: intelligent graphs are often capable of expressing much more information than abstract association rules, with the welcome side effect of improving professional communication.