data-architecture-a
Chapter 1.5 Corporate Data Analysis Abstract Corporate data include everything found in the corporation in the way of data. The ...
Fig. 1.5.1 Examining the details. As is the case with all data analysis, the first consideration of analysis is whether the anal ...
Fig. 1.5.2 Diverse sources of textual data. In many cases, the sources of data are automated, so physically gathering data is no ...
MANY problems with the logical resolution of corporate data. Some of the many problems are as follows: Resolving key structures— ...
Fig. 1.5.3 Integration of data. Once data are integrated (or at least once as much data as can be integrated are in fact integra ...
Fig. 1.5.4 Normalized data. The result of normalization is that data can be placed into flat file records. Once data are placed ...
Fig. 1.5.5 Normalized records of data. Once the data are structured into a granular state, the data can then be analyzed in many ...
Fig. 1.5.6 Categorization of data. Once data are categorized, many sorts of analysis can ensue. One of the typical forms of anal ...
Fig. 1.5.7 Exceptions analysis. Another simple form of analysis is that of categorizing data and counting the data. Fig. 1.5.8 s ...
Fig. 1.5.9 Comparisons of different records. Another typical form of analysis is that of comparing information over time, as see ...
Fig. 1.5.11 Key performance indicators (KPIs). Chapter 1.5: Corporate Data Analysis ...
Chapter 1.6 The Life Cycle of Data: Understanding Data Over Time Abstract Corporate data include everything found in the corpora ...
The life cycle of data shows that raw data enter the corporate information systems. The entry of raw data can be made in many wa ...
Fig. 1.6.3 From raw data to summarized data. The life cycle for most summarized or aggregated data begins the same way that raw ...
Fig. 1.6.4 Distinctive pattern of usage of data. As data age in the corporate information infrastructure, the probability of acc ...
The phenomenon of data becoming dormant is not quite as true for structured online data. There are certain types of business whe ...
Fig. 1.6.6 The declining curve of usefulness for detailed data and summary data. Fig. 1.6.6 shows that the declining curve of us ...
accelerates. This phenomenon is pretty much true for every organization. Another way to look at this accumulation curve is shown ...
When it comes to looking at data over time, there is another interesting phenomenon that occurs. That phenomenon is that over lo ...
drastically changed. Given enough time, the very definition of values and data changes. That is why degradation of the definitio ...
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