Our experience and technical skills
Our development team has wide technical skills and experience in OLAP and BI solutions and custom made applications. Applied areas: Business Intelligence. Decision support system, Balanced scorecards. Finance management, planning, budgeting. Projects management. Production planning. OLAP systems, data integration. Data Extracting, Transformation and Loading (ETL). Experience: Enterprise Application Integration. Functional requirements analysis. Definition and estimation of project boundaries and scope of work. Design and development of ERP-systems. Design and development of RIA...
read moreMDX Designer – new version
New version MDX Designer includs: New Pivot Grid (Report) – in New Tab Control Active Filter Area and much more
read moreTechnology
Ranet OLAP was developed from the ground up using Microsoft’s .NET application development framework. Ranet OLAP was written in C# using Microsoft Visual Studio as the integrated development environment. Ranet OLAP is pure Silverlight and was written specifically for SQL Server Analysis Services with support for SQL Server. Ranet OLAP supports SQL Server 2005 and 2008. Ranet OLAP is also flexible when it comes to accessing your data. Generating its own MDX code, Ranet.OLAP can display data from SQL Server Analysis Services cubes, whether these are MOLAP, ROLAP, or HOLAP...
read moreRanet OLAP Visual Controls
Ranet OLAP is a set of data visualization controls – powered by Microsoft Silverlight for the Microsoft SQL Server platform. Ranet OLAP includes Visual Controls: PIVOT GRID- control shows a summary table which is a result of running the MDX query Sorting – Ascending and Descending sorting can be applied to a row area, column area, or data area in the pivot grid table Members group – grouping data in the row area and column area are in the pivot grid table Show Properties – It can display the property of the dimension member in the table Properties, Custom...
read moreRanet OLAP Solution Overview
Why Use OLAP? OLAP (On Line Analytical Processing) is widely used in business intelligence, data mining and reporting applications that provide complex analysis of data in a short period of time. What makes OLAP such a powerful data analysis tool, and why would you want to use it are question that most people ponder when they are first introduced to this technology. Using OLAP lets you find out: Why one month’s sales were better than another month’s sales? Which product your Sales department selling the most of? The number of employees by department? Where your...
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