Data warehouses allow for data analysis, including data from a dozen or so years back. The collected data is arranged and archived in a central database which facilitates control over access to data, thereby ensuring the security of the stored data.
As time goes by, IT needs arise as a natural result of the company’s development, which is why Data Warehouse end-users should maintain constant contact with BI specialists to verify current business needs.
There are several ways to analyze the collected data, depending on actual business needs, however the most common ones are:
JCommerce has been honoured with the title of Gold Microsoft Partner in the Data Platform field, which confirms our competences in one of the following areas:
Business Intelligence specialists from JCommerce have implemented numerous data warehouses, which is why we know how helpful it is for users to have ordered and archived data.
Online Analytical Processing (OLAP) is an approach which provides swift responses to multi-dimensional analytical (MDA) queries. It presents a multidimensional structure of the company. This technique constitutes a fast, consistent and interactive way to provide key information for the company.
OLAP tools enable users to interactively analyze data complexity from multiple perspectives. Databases configured for OLAP use a multidimensional data model, allowing for complex analytical and ad-hoc queries with a rapid execution time, due to which the results are transparent and clear. Furthermore, OLAP tools allow for smooth navigation through database structures as OLAP functions enable a user to create cross-sections of particular dimensions and move them using pivot tables. The user also benefits from the possibility of creating queries, presentations and visualizing results in the form of diagrams and charts.
The following operations make it possible to provide the highest quality information:
A data mart is the access layer of the data warehouse environment which is used to deliver data to the users. It is usually oriented to a specific business line or team, i.e. marketing or accounting.
The data should comply with the main warehouse, which is relevant as this makes the warehouse a trustworthy source for data marts. This is where ETL processes play a key role, since they allow for the integration of data from different sources, data transformation and loading it to the due database.
Separation of areas in the warehouse lets users:
