Business Analytics Architecture

The advantages of a business intelligence architecture. High scalability in terms of data volume and user growth.

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It includes the it systems and software tools that are used to collect integrate store and analyze bi data and then present information on business operations and trends to corporate executives and other business users.

Business analytics architecture. Data mining is a general term for the function that a business analytics system provides. A new business analytics architecture in recent weeks we have been engaged in similar conversations with existing and potentially new customers on the subject of analytics architecture. The data mining must reach across the silos of data in order to correlate and then apply analysis tools.

Analytics architecture refers to the systems protocols and technology used to collect store and analyze data. Cohesion between the various components for a better overview. In order to analyze the activity and performance of the enterprise functions a business intelligence system will pull data from many sources.

A business intelligence architecture is the framework for the various technologies an organization deploys to run business intelligence and analytics applications. In particular how can we provide an architecture that allows business users to increase their analytics capability while. Flexible reporting and analyzing using bi to its full potential.

The concept is an umbrella term for a variety of technical layers that allow organizations to more effectively collect organize and parse the multiple data streams they utilize.

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