Take advantage of the potential of your company analytical reports with Axional OLAP VLDB
The OLAP client allows users to quickly analyze multidimensional data in a flattened, two-dimensional grid format or in specific graphs or maps, thus quickly finding hidden issues, opportunities, and trends. Let’s get started.
Key Features
Drill Down
The OLAP cube keeps track of the dimension’s position in the hierarchy, so when the analyst issues a command to drill down, the cube can present the next level of data.
Slice/Dice
The user can navigate easily across the cube by adding, moving, or altering the order of dimensions and measurements in the rows and columns. With filtering, the user can restrict the view of the database objects to a specified subset.
Pivot
This function rotates the data axis, providing a different perspective to view data. The user can simply swap the rows and columns with a single click.
Nesting
This technique allows the user to see the results of a multidimensional query that returns a subcube, i.e., more than a two-dimensional slice or page. The row/column labels will display the output dimensions by nesting each dimension member labels.
Roll-up
It takes the current aggregation level of the data values and adds one or more of the dimensions. Dimensions rely on hierarchies or upon formula-based data relationships, within each dimension.
Sorting
The OLAP client offers sophisticated filtering capabilities, allowing the user to preselect a set of values for one or more members of a dimension.
Business Agility
It gives users the ability to define spreadsheets’ dimensions and measures, and resolve pressing business questions.
Office mobility
It provides a simple graphical user interface, which can be accessed easily from any device or mobile device.
Generate Ideas
Consolidated data can be reviewed and analyzed within seconds, offering you valuable insight into your business.
Usability
Multi-select lists and drag-and-drop tools allow you to customize the data displayed in interactive charts.
Big Data Project
The key to planning a successful Big Data project is to determine the why, where, what, and how of the project.
Generate Ideas
Understanding the business or activity of your data project is the main key to ensure success and the first phase of any strong project for data analytics.
Collect Data
Once a clear insight is achieved, it is time to start looking after your data. That means, the second phase of a data analysis project.
Create Design
The next data science step is the challenging data preparation process. This typically takes up to 80% of the time dedicated to a data project.
Launch Project
At this moment, a nice dataset becomes information, so this is a good time to start exploring it by building graphs.
innovations
Our Expertise
We can offer you all the services for the design, implementation and deployment of solutions for OLAP analysis.
Projects successfully completed with our clients.
Companies that did not know how to analyze their data.
