Matakuliah : M0584 - Data Warehouse
Tahun
: Sep - 2009
Executive Information Systems and the Data
Warehouse
Pertemuan 8
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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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
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–University
Key Performance Indicator (KPI)
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A simple example
• See Figure 7.1
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A simple example
• See Figure 7.2
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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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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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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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Supporting the Drill-down Process
• See Figure 7.6.
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Supporting the Drill-down Process
• See Figure 7.7
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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)
–University
Management constantly changing its mind about what needs to be
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looked at next
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The Data Warehouse as a Basis for EIS
•
See figure 7.7
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Where to Turn
•
See figure 7.9
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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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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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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
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analyst can build