Moving Forward with the On Demand Real-time Enterprise

54 Moving Forward with the On Demand Real-time Enterprise

Figure 2-14 Closing the loop between applications

Note the line from the Event Notification and Propagation Services boxes –

events can flow to the application for action too, instead of just the operational

systems themselves. This is an example of closing the loop at the application

level.

2.5 Industry examples

In this section we discuss businesses in a number of industry segments, their

requirements for real-time business intelligence, and their evolution towards

becoming real-time enterprises.

In general, leveraging low-latency information provides value to these

businesses by enabling immediate, and proactive, knowledge based

decision-making. We understand that not all areas of all businesses have a

requirement for real-time information. But that does not inhibit them from

becoming a real-time enterprise. The key is to get started in the evolution.

IBM can help get that evolution moving faster by providing industry specific

oriented data models. An example of those data models is depicted in

Figure 2-15.

• Dashboards

• Alerts

• Analytic Apps

EDW

ODS

Operational

Applications

ETL / EAI

Stream/Batch

Predict UDFs

Stored Procs

Triggers

MQs

Enterprise Bus

Service Brokers

EAI Message / Event Bus

EAI

Propagation

Services

(WBI)

Event

Notification

Services

(WBI)

OLTP

Stream Batch

EAI

Event Notify

OLTP

Event

Event

Event

Application

Application

Chapter 2. The real-time enterprise 55

Figure 2-15 IBM Industry Data Models

These models are used as a base for the industry data warehousing

environments. The information from the industry core systems are stored in the

data warehouse, queried, and used to populate any required data marts.

Banking data model

The core systems in this model are:

– Mortgages

– Demand Deposits

– Investments

– Term Deposits

– Trading

–Credit Cards

– Portfolio Management

– Loans

Examples of banking data marts are:

– Relationship Marketing

– Profitability

– Risk Management

– Asset Management

Telecommunications

Retail Insurance

Banking

Banking

Data

Warehouse

Core

Systems

Insurance

Information

Warehouse

Telco

Data

Warehouse

IBM Retail Enterprise

Data Warehouse