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month ##, 2002filename.ppt © 2002

Business CockpitControlling the digital

enterprise

Fabio CasatiHewlett-Packard

UC Berkeley, Oct 4, 2002


Managing Operational Systems

Develop a platform for the semantic management of operational systems.

• Definition

• Analysis

• Monitoring

• Prediction

• Optimization

• Assurance

Simplicity

Packaged, configurable solution

Domain independent


History

Initial goal: Business Process Analysis

• Semantic analysis (qualitative behaviors)

• Process data warehousing and mining

Extend to Web Services

• Blurred distinction between processes and web services

• Similar approach

Make it generic – applicable to ANY business context

• Whatever your business is

• Whatever you want to assess

• Whatever you want to monitor


Reporting Model

Definition of the perspectives under which we want to analyze the metrics

Domain model

Definition of the business context to which the cockpit is applied

Metric Model

Definition of the metrics of interest and of how to measure them

Visualization Model

Definition of the techniques through which a report can be visualized


Domain Model

Cockpit is not targeted for a specific business domain

• Applied to several different scenarios

“hard” part is how to make it easy, quick to configure the cockpit for a new domain

• Horizontal, but easily “verticalizable”

Need information on

• Entities (e.g., “process”, “event”, “action”, “service”)

• Attributes and Relationships (an “event” has a “priority”)

Two pages of SQL

• Its definition can be automated as well as facilitated through GUIs


Domain Configuration

Domain schema+ Domain-specific

solution=Cockpit shell (horizontal)


Metric Model: Metric

A measurable property of an entity

• The quality of a process execution, the cost of an event

It has a definition and an implementation part

• Definition: name, type

• Implementation: which function should be used to compute this metric for a certain element


Metric Model: Metric


Metric Model: Mapping functions

v Code that computes values out of business data

v Can be numeric or Boolean

• the value of an event attribute

• the duration of a process

• whether the duration was more than the average

v SQL, Java, whatever

• Automatically generated for the most part

v Generic, reusable

• Parametric

• Context-independent

• Can be used to compute different metrics (optimized)


Metric Model: Mapping functions


Reporting Model

v Can look at metric data from many different perspectives

• By time

• By domain aggregations

• Correlations

v Examples

• Weekly cost trends

• Distribution of the event quality by category

• Cost/quality correlation

v Reports are automatically, immediately available once a metric is defined

v Maintained and refreshed automatically


Reporting Model


Visualization Model

v Can view reports in different ways

• Bar charts, pie charts, dials, double-dials, etc…

v Built-in tool or off-the-shelf

• Can use Excel, Crystal reports, whatever

v Drill-downs

• To a report, a URL, a Java class, a query


Visualization Model


Technology


Architecture (overview)

Cockpit engine

Measures, reports

warehouseD-ETLdata source

Cockpit definer

metric schema

Business Managers

IT Manager

Built-in console Your favorite reporting tool

MS excel, Crystal, Brio,

Note: dashed components are optional



compute measures (“smart” refresh)

garbage collectionmeasures

BC definitions

Staging data

BC-ETL

reports

compute reports (“smart” refresh)

Note: dashed components are optional. BC can function without a WH, but if present it can provide more accurate data and faster performances



compute measures (“smart” refresh)

garbage collectionmeasures

BC definitions

Staging data

BC-ETL

reports

compute reports (“smart” refresh)

intelligence


warehouse

data source

Staging data

reports

measures

data streams

Business Managers

live reports?

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