In my last article, I have talk about interactive analysis from the definition and explains with an example, and today we will discuss the characteristics of interactive analytics.
In my last article, I have talk about interactive analysis from the definition and explains with an example, and today we will discuss the characteristics of interactive analytics.
As we can see from the above examples, the real world business data analysis is far more complex than the theory. The commercial opportunity changes unpredictably and comes and goes in a moment of doze. In fact, the computation on the business activities is usually fuzzy. There are few model algorithms from textbook that can be used to solve the real business situation. The interactive analysis computation is to solve the problem in the real world. Business intelligence tools should be more simple, and most importantly, interactive analysis should be simplied. Let’s check the characteristics of interactive analysis.
Fixed algorithm as bottom layer
Interactive analysis can be always resolved to the fixed algorithm. For example, ranking algorithm is usually used to compute the “Appearance of Large Order”; grouping algorithm is usually used to compute the “which sector sees the intensive procurement by clients”.
Focus on the interactive procedure
The bottom layer of interactive analysis is the fixed algorithm though, the human intervention is necessary. How to break down the target? How to set the priority of branches? Whether to carry on the mining or not? Is the existing result enough to support the decision-making? Is the further computation necessary? Theoretically speaking, the power enough computer programs can implement the above network-like branches, and thus turn it into the fixed algorithm. However, before the The Matrix and Neo born, the analyzers will have to take great effort in it.
Focus on the business expert
Interactive analysis is to solve the problem in the real world. The assumption will have to make on the basis of business status, and the next step computation will be decided on the current data and business experiences. To do this, the abundant business knowledge is required. The qualified analyzer is usually the business expert. The database administer and programmer are more fit to seek the solutions to the fixed algorithm and they are able to provide the assistance in computation but hard to make the most important business decision.
Take massive structured data as the primary goal
The massive structured data is the data capable to be represented with a 2-dimention structure. Of the massive structural data, the typical examples are the data from database and spreadsheet, and text file. In the business activities of real world, these data are the most common and fundamental, acting as the base of business calculation.
This is the End of Part II for interactive analysis. In the next part, I will talk about the related tools for interactive analysis.
To be continued…
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