|
Читайте также: |
| Description | Online analytical processing (OLAP) software performs multidimensional analysis of business data and provides the capability for complex calculations, trend analysis, and sophisticated data modeling. |
| List of functionalities | FT06.01.01 - Ability to seamlessly integrate with industry leading RDBMS FT06.01.02 - Ability to perform slice and dice of data sets FT06.01.03 - Ability to perform arithmetic functions, statistical functions FT06.01.04 - Ability to perform trend analysis FT06.01.05 - Availability of ready to use template and layouts for report FT06.01.06 - Provide wizard-driven query capabilities FT06.01.07 - Facility to create ad hoc queries through use of simple business terms FT06.01.08 - Ability to drill-down across and drill-across dimensions FT06.01.09 - Facility to save and export the generated reports |
| Implementation Notes | On - line analytical processing (OLAP) software is used to swiftly answer multi - dimensional analytical queries. Examples of popular OLAP tools are Business Objects, Cognos Business Intelligence, etc. Functionalities of OLAP software are also mentioned under the domains FD04 – Detection of new targets and FD05- Operational analysis. |
FT06.02 - Data mining software
| Description | Data mining is the process of extracting patterns from large data sets by combining methods from statistics and artificial intelligence with database management. |
| List of functionalities | FT06.02.01 - Ability to identify defined patterns in the dataset (trained patterns) FT06.02.02 - Ability to identify groups of records that are similar between themselves but different from the rest of the data using algorithms like clustering techniques (such as K-means), neural networks, self organized maps FT06.02.03 - Ability to discover new patterns in the dataset (detect untrained patterns) and identify defined patterns in the dataset (trained patterns) FT06.02.04 - Ability to detect patterns from time series transactional data set over a defined time period for particular individuals / groups FT06.02.05 - Ability to learn a pattern from examples and using the developed model to predict future values of the target variable using algorithms like regression analysis, neural networks, K-nearest neighbours |
| Implementation Notes | Data Mining software is used to discover patterns and relationships in data. Examples of data mining tools are: SPSS, SPSS Clementine, SAS Enterprise Miner, Angoss KnowledgeStudio, etc. Functionalities of data mining software are also mentioned under the domain FD04 – Detection of new targets. |
Дата добавления: 2015-11-14; просмотров: 67 | Нарушение авторских прав
| <== предыдущая страница | | | следующая страница ==> |
| FD06 - Strategic analysis | | | FT06.04 - Geographic information software |