however it cannot meet the demands of our age – the analysts just cannot react properly to the constantly changed situation. It is here where interactive analysis stands out as the mean to better and faster derive insight to the data and thus make better and timely decisions. The basic idea of data analysis is to represent information in a human-friendly way 副教授剽窃论文 朴槿惠穿凉鞋受审

Computers-and-Technology The information overload is the fact that we have today – computers get more powerful and storage capacity just soars up every year, so data is produced at an awful rate. However, it is growing much faster that our ability to analyze it. And still the analysis of the data (often inconsistent and messy) is a crucial in every field. Today there are many tools available to help analysts organize their data, and in many cases it greatly helps, however it cannot meet the demands of our age – the analysts just cannot react properly to the constantly changed situation. It is here where interactive analysis stands out as the mean to better and faster derive insight to the data and thus make better and timely decisions. The basic idea of data analysis is to represent information in a human-friendly way, highlighting useful information, suggesting conclusions and ultimately supporting decision making. Data analysis assumes many techniques that can be used to analyze business information: OLAP, data mining, business intelligence, visual analysis, etc. The final part of any data analysis technique is producing reports answering questions of interest. There are many report generating systems that help people get their data in most easy way, but many of them only represent information in a one-time slice form, and so the analysts may only see what they are given, possibly missing all-important recent info. And here comes the idea of interactive reporting. The key to the success in decision making is in having right and complete information when you need it. And here is the list of "must have" requirements for a report generator to make this possible. First, it must be able to take data from different data sources and combine them in a single report. So even if the data is located in different places the user must get them all in one place, combined and prepared as the author defined. Then it should always provide "fresh" data. It means the report must be always actual and contain up-to-date information. Practically it means that the author should be able to define the way how and the time when the data in the report is refreshed. The end user simply does not have to know about it. What he needs is always having fresh data at hand. Another point is different controls or widgets in the report. These controls can be placed in any order and contain different or the same information from different or the same data sources. It is always good to display different aspects or representations of the same data next to each other, so the whole report gets somewhat comprehensive and reliable. For example we might want to display the same sales data in two forms: the sorted grid with absolute sale values and the chart displaying changes of the same values over time. Evidently, the controls must be connected to the same data source but display different information. Also the report should contain "active" or "live" widgets like OLAP grid and OLAP chart to provide interactivity to the report viewer. For example, in OLAP Grid you can choose the data slice in view, "drill down" to more details, "drill through" the selected cell, and more. The main idea is that the report should not be still and static, instead it must react to the user’s activity. In other words, the user should not put up with what he is given – if he needs more info, he must be able to get it without generating another report. And finally the report should allow different extents of freedom to different users. Depending on the viewer the report should give different levels of access to the data, different data sources, different widgets available, and different interactivity levels. As a result the users get the full range of info they are really interested in, and they can actively use it to analyze in many possible aspects. If allowed, analysts can access more information as they go. The same report can be used by many users with different access levels. The levels can be controlled by the author of the report to address different audience. All this takes the analysis process to the next level of productivity and ultimately helps decision making. About the Author: 相关的主题文章:

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