Post on 15-Nov-2014
description
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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