A cornerstone of business intelligence is the data that can be gathered from customer interaction. Gathering data and processing it for relevant information can provide better-informed decisions for business operations. AWS provides tools that can not only automate this process, but make data much more legible and process data more efficiently.
business intelligence
Business intelligence 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.
AWS Think Big for Small Business, Data Analytics, and Business Intelligence
The AWS Think Big for Small Business Program is an outreach program designed to provide small and/or minority-owned public sector organizations support in the form of business intelligence, technical expertise, and marketing strategies. With cloud-based solutions and experience, various public institutions globally have seen continued success in government, educational, and nonprofit sectors. While the funding provided can help significantly to meet business objectives, the expertise on navigating the cloud and how to extend outwards towards customers is just as critical.
AWS QuickSight vs. Power BI
Business Intelligence is important to a firm in order to understand the data gathered from its various operations. Amazon does provide a service called QuickSight which is more tailored to use-by-use cases. By comparison, Microsoft has Power BI on offer with a much more universally applied pricing model but extensive customizability and modularity. Both do have a lot to offer on top of their compatibility to their respective organizations.
Getting Started with Data Analytics on AWS
AWS offers a wide range of analytics services for a variety of needs, all in one place, and you can use them to gain better insight for business improvement.
Data Lake vs Data Warehouse on AWS
Processing raw data involves several challenges and investments. Firstly, a significant investment in the right skills and experience is crucial. Professionals with expertise in data processing techniques and tools are needed to effectively handle and...