Analysis

Non-linear development and increased complexity of business information brings the need for powerful interpretation capabilities. The ability to perform complex analyses and relevant interpretations is one of the main advantages in the area of performance management.

Multi-dimensionality

A powerful analysis typically derives from a multi-dimensional data cube (OLAP) which provides an in-context answer to what is driving the business. Data is organized into logical categories such as fiscal periods, customer segment, sales regions, and product groups. Hierarchical organization from summary level to transaction level helps to ascertain the precise information to deliver the right answer. Sophisticated time trending and gap calculations allow for the analysis of that which has changed over previous periods or the gap against budget.

Complex business logic

A well designed data cube can integrate complex business logic, and links together various business perspectives and details. It relates to detailed structures which can be combined together without limitations, as well as various business calculations and allocations. Therefore application is limitless and analysis can support any area, such as

Complex business logic

Well designed data cube can integrate complex business logic and link together various business perspectives and details. It relates not only to detailed structures which can be combined together without limitations. Also various business calculations and allocations can be used. Therefore there is no limit and analysis can support any area, like

• financial analysis or sales performance
• product profitability and activity based costing
• efficiency of processes or people performance

Data exploration

Managers and business specialists can use the cube for freeform exploration of data. Thanks to this, important answers can be found in minutes. Multi-dimensional data can be reviewed at the highest summary level, and based on current need drill down to low data categories is only a click away. Further details are available in the respective dimensions which a user can simply drag and add next to the current data item.

Business practices

Analytical solutions can be used in progressive ways. For example, charts are able to highlight the most important categories. All shown items can be active and possible to drill down to further detail or flexibly change desired views.
For gap analyses of achieved performance against expectations, bridge charts can be used. In this way it can show those categories which significantly contribute to gaps - either positively or negatively.
Or if a company chooses to focus on strategic measurements via selected KPIs, the multi-dimensional analysis can provide a broader insight.

Should you require further information or a free assessment and solution concept contact us.