Lecture - Executive Information Systems and the Data Warehouse

7/29/2019 Lecture - Executive Information Systems and the Data Warehouse

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Chapter 7: Executive Information Systems and the DataWarehouse

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Agenda

1. Introduction

2. EIS The Promise

3. A Simple Example

4. Drill-Down Analysis

5. Supporting the Drill-Down Process6. The Data Warehouse as a Basic for EIS

7. Where to Turn

8. Event Mapping

9. Detailed Data and EIS10. Keeping Only Summary Data in the EIS

11. Summary



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7.1 Introduction

Prior to data warehousing, there were Executive Information

Systems (EIS).

EIS was a notion that computation should be available to everyone

in the corporation, not just the clerical community doing day-to-daytransactions.

EIS presented the executive with a set of appealing screens.

The entire idea behind EIS was presentation of information with no

real understanding of the infrastructure needed to create that

information in the first place. EIS has reappeared in many forms todaysuch as OLAP

processing and DSS applications like customer relationship

management (CRM).


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7.2 EIS The Promise

EIS is one of the most potent forms of computing.

EIS processing is designed to help the executive

make decisions.

EIS becomes the executives window into the corporation.

Some of the typical uses of EIS are these : Trend analysis and detection

Key ratio indicator measurement and tracking

Drill-down analysis

Problem monitoring

Competitive analysis

Key performance indicator monitoring



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7.3 A Simple Example


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7.3 A Simple Example (Cont)


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7.3 A Simple Example (Cont)

Figure 7-3 shows a comparison that might be found in an EIS

analysis.

The few approachs that

the manager can use EIS

effectively :

Trend analysis andcomparison

To do slicing and

dicing


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7.4 Drill-Down Analysis

Drilling down refers to the ability to start at asummary numberand to break that summary into a

successively finer set of summarizations.


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(Cont)Another important aspect of EIS is the ability to

track key performance indicators.

Although each corporation has its own set, typical

key performance indicators might be the following:

Cash on hand

Customer pipeline

Length of sales cycle

Collection time

New product channelCompetitive products


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(Cont) The difficult part of EIS is not in the graphical

presentation, but in discovering and preparing the

numbers accurately, completely, and integrated

that go into the graphics, as shown in Figure 7-5.


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7.5 Supporting the Drill-Down

ProcessCreating the basis of data on which to perform drill-

down analysis, then, is the major obstacle to

successfully implementing the drill-down process,

as shown in Figure 7-6.


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7.5 Supporting the Drill-Down

Process (Cont)


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7.6 The Data WareHouse as a

Basic for EIS It is in the EIS environment that the data warehouse operates

in its most effective state.

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 (finding historicaldata)

Management constantly changing its mind about what

needs to be looked at next


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7.6 The Data WareHouse as a

Basic for EIS (cont)


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7.7 Where to Turn

The EIS analyst can turn to various places in thearchitecture to get data.


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7.7 Where to Turn (Cont)

There is a very good reason for the order shown,as indicated in Figure 7-10.


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The ways that EIS is supported by the datawarehouse are illustrated in Figure 7-11.


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The EIS function uses the following :The data warehouse for a readily available supply of

summary data.

The structure of the data warehouse to support the drill-

down process.

Data warehouse metadata for the DSS analyst to plan how

the EIS system is built.

The historical content of the data warehouse to support

the trend analysis that management wishes to see.

The integrated data found throughout the data warehouse

to look at data across the corporation


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7.8 Event Mapping

A useful technique in using the data warehouse forEIS processing is event mapping.

The simplest way to depict event mapping is to

start with a simple trend line.


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7.8 Event Mapping (cont)

Figure 7-12 shows that corporate revenues havevaried by month, as expected.


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Misleading conclusions can be drawn, though, bylooking at correlative information. It often helps to

look at more than one set of trends that relate to

the events at hand.


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7.9 Detailed Data and EIS

The following question must be answer : How much detailed data do you need to run your EIS/DSS

environment?

What, then, is so wrong with keeping all the detail in the

world around when you are building an EIS/DSS

environment?

Summary data is an integral part of the EIS/DDS

environment.


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7.10 Keeping Only Summary Data

in the EIS

Some very real problems become evident withkeeping just summary data.

First, summary data implies a process

It may or may not be at the appropriate level of granularity

for the analytical purpose at hand.


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7.11 Summary

There is a very strong affinity between the needs of the EIS analystand the data warehouse.

The data warehouse explicitly supports all of the EIS analysts

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 thefollowing management needs:

Accessing information quickly

Changing their minds (that is, 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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Lecture - Executive Information Systems and the Data Warehouse

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