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Business Intelligence

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Definition of Business Intelligence

“BI is the cornerstone of a learning organization, one that uses facts to validate intuitions and make steady progress towards achieving strategic objectives.”

—Wayne W. Eckerson, Director of Research and Services, TDWI

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Business Intelligence

• What it is– Process for gathering, processing and disseminating

decision-making information to stakeholders – Turning data into information– Analytics

• What it isn’t– Only reporting– Clandestine, Business Espionage– Oxymoron ???

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Evolution of Business Intelligence

Running Canned Reports Directly Against Operational DB

Running Reports Against Nightly Copy of Operational DB(Reporting Server)

Running Reports Against Real-time Copy of Operational DB (ODS)

Composing and Running Ad hoc Reports Against Dimensionally Integrated Data(Relational Data Warehouse)

Free Form Analysis Using Dimensionally Integrated and Pre-Aggregated Data (OLAP Data Mart)

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BI Infrastructure Is About Data

Data Quality

Business Rules

ETL Processes

Analyzing Data Sources

User TrainingBI Tools and RolloutDW Schema

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DW Foundation

33 1/3 %

33 1/3 %

33 1/3 %

Business Intelligence Infrastructure

Normal Distribution

Integrated Longitudinal Data Set

Data Warehouse

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Data Warehouse Lifecycle

OD

S

Dat

a W

areh

ouse

Requirements GatheringSource System Analysis

Data Quality Analysis

StagingODS

Change Data Capture

MetaData

Data WarehouseData Marts

Cubes

ReportsDashboardsScorecards

P-1 P-2 P-3

Sou

rce

Sys

tem

s

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DW Bus Matrix

Dimensional Modeling

Sales

Customer

Product

Time Store

Dimensional Model

Transaction Type

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Demo

• OLTP

• Physical DW Model

• Facts & Dimensions

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Multidimensional Databases

Multidimensional Databases are like Rubik’s cubes

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Drilling into Detail

Pro

du

ct

Time

Lumber

Tools

Hardware

JUL

AUG

SEP

Multidimensional Databases are like Rubik’s cubes

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Demo

• Cubes

• KPIs & Metrics

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Data Mining & Predictive Analytics

• Classification: The act of distributing objects into predefined classes or categories.

• Estimation: A prediction of the value of an unknown, continuous variable.

• Clustering: Identifying logical groups in which to place similar objects.

• Prediction: Classification, estimation or clustering about a value or behavior which has yet to occur.

• Affinity Analysis: Determine which objects can be expected to co-occur with other objects.

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Demo

• Data Mining

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Who’s Who

• Bill Inmon– “Father” of Data Warehousing– Corporate Information Factory

• Ralph Kimball– Dimensional Modeling– www.kimballgroup.com

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Vendors

• RDBMS– Microsoft SQL Server– Oracle 10g– IBM DB2

• ETL (Extract, Transform, & Load)– Integration Services (Microsoft)– Warehouse Builder (Oracle)– DataStage (IBM)– Informatica

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Vendors (Continued)

• Profiling & Data Quality– ProfileStage (IBM)– Trillium– DataFlux (SAS)– First Logic (Business Objects)

• Reporting & Analytics– Reporting Services & Analysis Services (Microsoft) &

ProClarity or Panorama– Cognos– Business Objects– Hyperion

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Presenter Information

• Karl Lacher– (612) 998 - 1590– karlpl@comcast.net

• Michael Dalton– (612) 203 – 8548– mdaltona@comcast.net