Next Level Decisions Through Business Intelligence

Business intelligence (BI) comprises the strategies and technologies used by enterprises for the data analysis of business information. BI technologies provide historical, current, and predictive views of business operations. Common functions of business intelligence technologies include reporting, online analytical processing, analytics, data mining, process mining, complex event processing, business performance management, benchmarking, text mining, predictive analytics, and prescriptive analytics. BI technologies can handle large amounts of structured and sometimes unstructured data to help identify, develop, and otherwise create new strategic business opportunities. They aim to allow for the easy interpretation of these big data. Identifying new opportunities and implementing an effective strategy based on insights can provide businesses with a competitive market advantage and long-term stability.



SAMPLE ARCHITECTURE

  • In this basic example, the BI pipeline begins with source data, in this case, an on-premises SQL database.

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  • The data is securely ingested into an intermediary, inexpensive data store to enable connectivity to cloud services.

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  • As the data is loaded into the main data store, it is transformed to clean and filter the data through a analytical storage instance.

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  • The prepared data is then run through a service that will model the data to provide the custom business insights.

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  • Finally, the models are sent to the visualization service to create reports and dashboards that update in real-time and accessible through the web.

This architecture is only meant to outline a basic BI pipeline. We understand that your small business will require a custom solution to find the balance between cost and performance.

 

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