Business Intelligence (BI)
Business intelligence (BI) comprises the strategies and technologies used by enterprises for the data analysis of information. BI technologies can provide historical, current and predictive views of business and process operations.
Common functions of business intelligence technologies include reporting, data analytics, data mining, 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 opportunities.
Business intelligence can be used by enterprises to support a wide range of business decisions ranging from operational to strategic. Basic operating decisions include product positioning or pricing. Strategic business decisions involve priorities, goals and directions at the broadest level. In all cases, BI is most effective when it combines data derived from the market in which a company operates (external data) with data from company sources internal to the business such as financial and operations data (internal data).
Collection and automation
Skyinformics.biz uses and follows the same principles of business intelligence.
Service known as important to improve both BI technologies and prototypes project mainly use of the collection and improve overall user experience for all our maintainable projects. Early centralized prototype at pre-alfa stage, limits capacity and capabilities only to minimal diagnostics and metrics.
Our demos, seedings and data includes standard database open-source manageable technologies,
purpose of the collection allows to host a centralized cluster and exchange data with local and sustainable prototypes which interests to introduce both self-learning capabilities, regional support and costumer service to include use of server metrics and scalable solutions for our prototypes.