2. Executive Information Systems and the Data Warehouse Pertemuan 8
Matakuliah : M Data Warehouse
Tahun : Sep
Executive Information Systems and the Data Warehouse Pertemuan 8

3. Executive Information Systems and the Data Warehouse
Prior to data warehousing, there were Executive Information System (EIS). EIS was a notion that computation should be available to everyone, not just the clerical community doing day-to-day transactions. EIS presented the executive with a set of appealing screens. The idea was that the elegance of the screen presentation would beguile the executive.
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4. EIS – The Promise
EIS is one of the most potent forms of computing. Through EIS, the executive analyst can pinpoint problems and detect trends that are vital importance to management. In sense, EIS represents one of the most sophisticated applications of computer technology.
Some of the typical uses of EIS are:
Trend analysis and detection
Key ratio indicator measurement and tracking
Drill-down analysis
Problem monitoring
Competitive analysis
Key Performance Indicator (KPI)
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5. A simple example
See Figure 7.1
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6. A simple example
See Figure 7.2
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7. Drill-down Analysis
To do slicing and dicing, it is necessary to be able to “drill-down” on data. Drilling down refers to the ability to start at a summary number and to break that summary into a successively finer set of summarizations.
By being able to get at the detail beneath a summary number, the manager can get a feel for what is happening, especially where the summary number is surprising.
See figure 7.4
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8. Drill-down Analysis
Yet, another important aspect of EIS is the ability to track key performance indicators. Although each corporation has its own set, typical key performance indicators are:
Cash on Hand
Customer Pipeline
Length of Sales Cycle
Collection Time
New Product Channel
Competitive Products
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9. Supporting the Drill-down Process
Creating the basis of data on which to perform drill-down analysis, then, is the major obstacle to successfully implementing the drill-down process, as seen in Figure 7.6.
Exacerbating the problem is the fact that the executive is constantly changing his or her mind about what is of interest, as shown in Figure 7.7
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10. Supporting the Drill-down Process
See Figure 7.6.
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11. Supporting the Drill-down Process
See Figure 7.7
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12. The Data Warehouse as a Basis for EIS
It is in the EIS environment that the data warehouse operates in its most effective state.
The data warehouse is tailor-made for the needs of the EIS analyst.
With a data warehouse, the EIS analyst does not have to worry about the following:
Searching for the definitive source of data
Creating special extract programs from existing systems
Dealing with unintegrated data
Compiling and linking detailed and summary data and the linkage between the two
Finding an appropriate time basis of data (i.e., does not have to worry about finding historical data)
Management constantly changing its mind about what needs to be looked at next
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13. The Data Warehouse as a Basis for EIS
See figure 7.7
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14. Where to Turn
See figure 7.9
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15. Event Mapping
A useful technique in using the data warehouse for EIS processing is event mapping. The simplest way to depict event mapping is to start with a simple trend line.
See figure 7.12, 7.13 and 7.14
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16. Detailed Data and EIS
A useful technique in using the data warehouse for EIS processing is event mapping. The simplest way to depict event mapping is to start with a simple trend line.
See figure 7.12, 7.13 and 7.14
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17. Summary
There is a very strong affinity between the needs of the EIS analyst and the data warehouse. The data warehouse explicitly supports all of the EIS analyst’s needs. With a data warehouse in place, the EIS analyst can be in a proactive rather than a reactive position.
The data warehouse enables the EIS analyst to deal with the following management needs:
Accessing the information quickly
Changing their minds (i.e. flexibility)
Looking at integrated data
Analyzing data over a spectrum of time
Drilling down
The Data warehouse provides an infrastructure on which the EIS analyst can build
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