Microsoft (SSAS)

Analyze & Visualize Your Data

Microsoft uses SSAS to facilitate you in analysis of data.

Microsoft SQL Server Analysis Services (SSAS)

Microsoft uses SSAS to facilitate you in analysis of data. Nowadays SSAS is the best OLAP cube available in the market. It is the only one of its kind that delivers both Online Analytical Processing and Data Mining.

Our SSAS
Service Offerings

Dashboards and Scorecards

Dashboards and scorecards provide you the whole picture of your business. They deliver the insight of your business to help you in making better and timely decisions. We develop innovative and interactive dashboards that can help organizations to manage enterprise performance, discover opportunities and threats, and monitor the current direction of business.

Cubes Modeling

You can choose MOLAP, ROLAP or HOLAP data storage models according to your needs. If you are not clear with this we also provide assistance in choosing the best solution for you. Also partitioning multiple dimension and cube provides you flexibility in modeling data as per your needs.

Data Mining

Data mining help you to find patterns, clusters and develop decision trees in Microsoft SSAS. It will be very helpful in making future predictions and boost your business decision making. We can develop different data mining models specific to your needs. We provide complete, integrated and extensible solutions of data mining.

MDX Scripts

In SSAS we use MDX scripts to define calculated members, named-sets, and cell calculations. The capability to directly access MDX in SSAS is a strong point when it comes to precision tailoring the solution to a specific environment, as well as from the perspective of tuning and optimization.

Scalable and Extensible Architecture

Microsoft SQL Server Analysis Services (SSAS) provides more sophistication and greater scalability than its counterparts available. An Analysis Services instance can have one or more databases that contain one or more cubes and plus shared dimensions. The SSAS cubes are extensible and can have large amount of data commonly (300-400 GB) in size. We always consider the future needs of customers and build the architecture in such a way that it facilitates extensibility and scalability in future.