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…
Related
Reading
Interactive
Analysis and Related Tools - Part I
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