Modern information and computing technologies are reshaping the ways of people living, shopping, working, and thinking. These rapid changes are largely contributed from Big Data Analytics and Intelligent Business tools. In recent decade, large and medium size corporations have already used data analytics and BI tools in decision making and business operations at various levels. However, dynamic markets and complex businesses require continuously add and update data analysis methods and applications to address new problems and improve efficiencies. We provide big data analysis services and custom BI applications to help efficient operations and smart decisions. We work for turning massive data into business tools, insights, strategies, and intelligence.
In this digit era, any activities associated with device could be recorded as data. Data is massive and messy in various forms. Unstructured data has little value to businesses. Well-structured and deeply analyzed data can be very valuable for business operations, strategic planning, and smart actions. Big Data Analytics is not only data preparation and aggregation and display, but also involves advanced statistical techniques to reveal tangible relationship and detect insights of data, and predict future from data. Many businesses have been benefited from big data analysis in identifying problems and opportunities, and developing better solutions based on various scenarios, and taking quick and strategic actions.
Predictive Modeling is the technology which applies advanced statistical models to predict future events and uncover relationships among factors. There are two types of predictive models, linear and non-linear models. Linear models are used to predict numerical data such as future sales, number of clinic visits, or temperatures. Non-linear models are used to predict probabilities of certain event occurrences, such as coupon responses, loan defaults or credit card frauds, and disease occurrences. In addition, predictive models have been widely used to detect what factors result in other things happening, so they are considered as intelligent tools in improving marketing efficiency, and preventing credit and loan defaults. As modeling embedding with business rules are computing and processing to produce outcomes for business uses, data is continuously fed and parameters are automatically adjusted so models are continuously refined to produce better outcomes. That actually falls into the machine learning area. Machine learning is relatively new term coming from merging statistical technologies with modern information technologies.
Business reports and dashboards are essential tools in corporation operation and management. With IT technology evolution, modern reporting has moved from Excel on desktop to online web pages which have been greatly improved work efficiency. Today's reporting is mainly web-based which can be reviewed remotely. Reporting data is stored in databases and processed in servers. Modern reports can be automatically updated, and tables and charts can be interactive. We provide services to build custom reports such as transaction reports, summary reports, analytical reports, key performance reports, and dashboards.
Business Intelligence Applications are similar to business reports. However, they have different focuses. Business apps are more focused on being as tools to help achieving certain goals or generating solutions. For example, customer loyalty management system can be a BI application. Some BI apps are simple such as product search and lookup systems. On another hand, there are some complicated BI apps which can be used to identify consumer shopping patterns and market opportunities, or predict loan default probabilities and provide prevention actions. The apps automatically detecting patterns and provide actionable recommendations are actually AI apps. Smart BI or AI apps are generated from very complicated algorithms to transfer data into insights, recommendations, and actions.
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