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Architecting Business
Intelligence System
Slava Kokaev
Lead Business Intelligence Architect at
Industrial Defender
Email: vkokaev@bostonbi.org
Twitter: @SlavaKokaev
Agenda
• What is business intelligence?
• Business Intelligence Architecture
• Understanding Business Process and System
Architecture
• Modeling Business Processes
• Modeling Dataflow
• Modeling Dimensional Model
• Modeling Analytical System
• ETL Architecture
Tools And Technologies
• Microsoft SQL Server 2012 Database Engen
• Microsoft SQL Server 2012 Integration Services
• Microsoft SQL Server 2012 Analysis Services
• Microsoft SQL Server 2012 Reporting Services
• SQL Server Data Tools in Visual Studio 2012
• UML
• IDEF0 Notation
• SADT Methodology
What is Business Intelligence?
Business intelligence (BI) is a set of
theories, methodologies, processes, architectur
es, and technologies that transform raw data
into meaningful and useful information for
business purposes.
"Business Intelligence - enables more effective
strategic, tactical, and operational insights and
decision-making."
What is Business Intelligence
Technologies?
BI technologies provide historical, current and
predictive views of business operations.
Types of BI Systems
Batch processing Architecture
 Scheduled
 Large dataset size
Close to real time architecture
 Scheduled or triggered
 Small dataset size
Real Time architecture
 Data stream
 Messages
Business Processes
Enterprise Business Analysis
System
Customers
Business
partners
Vendors, Suppliers, Channel partners
IT providers Financial service providers
Monitoring Systems Analysis Systems
Business Processes and Operations
Controlling Systems
Strategy and Planning
Systems
Business Conceptual Framework
DataSources
DataIntegration
DataStorage
DataAnalytics
(logic)
Data
Visualization
Client
Application
ETL Data Warehouse Data
Presentation
Data Sources
Customer Web App Order Cloud
Web Service
FTP Server
Database
Server
Data
Sources
Customer Web App Order Cloud
Web Service
FTP Server
Database
Server
ETL
Web Service
FTP Server
Database
Server
ETL
Extract, Transform, Load
ETL
Data
Warehouse
ETL
Extract, Transform, Load
Web Service
FTP Server
Database
Server
ETL
Data
Warehouse
Data
Warehouse
Data
Warehouse
Data
Warehouse
OLAP Cube
Data
Mining
Structure
Data
Warehouse
Data
Warehouse
OLAP Cube
Data
Mining
Structure
Data
Presentation
OLAP Cube
Data
Mining
Structure
Data
Presentation
SharePoint
Server
Custom
Applicatio
n
Dashboard
s
Clients
Business
Logic
Power
User
Use Case
Reseller Sales
Amy
Jack
Mo Night Freight
Sales Quota $1000
Boss
Order Date Order # Reseller Sales Person Ship Date Product
06/17/2010 E223084 Jack Yo Amy Valdez 06/18/2010 Mountain Bike -200
Identifying System Boundary
Reseller
Sales Mager
Sales Person
Shipping Person
Browse
Product
Catalog
Get
Product
Quotes
Order
Product
Receive
Product
Analyze
Sales Create Sales
Plan
Sale
Product
Process
Order
Ship the
Product
Package
Product
Get
Processed
Order
Source System
Create KPI
Business Intelligence System
Business Process
Business Activity
Functional Structure
Plan
Act
Check
Do
Data Mining Reporting ServicesAnalysis ServicesSQL Server
Input Data
Resources
Plans, Business Rule and KPI
Result
Data
Process Output (Facts /Measures)
Feedback (Improvement)
Sales Business Process
Plan
Sales
Analyze
Sales
Monitor
Sales
Resellers
Sales
SQL Server DB
Sales ManagerSales Representative
Market Data
Reseller (Dimension)
Sales Quota and KPI
Sales
Result
Sale Orders (Facts /Measures)
Sales corrections and Improvement
Sales
Summary
Balance
Scorecards
Sales Transaction
Designing Dimensional Model
DimensionDimensionDimensionDimensionDimensionFact
8/12/2013
DateSK
8122013
Full Name
Amy
Valdes
EmployeeS
K
5
Full Name
John Doe
ResellerSK
20
ProductName
Bike-
200, Mnt, B
Product
SK
555
Date
Designing Dimensional Model
Order Date ResellerSales Person Product Price Order Qty
8/12/2013 John DoeAmy Valdes Bike-200, Mnt, B $150.00 20
Shipping Date
9/3/2013
Order
Date
Reseller
Sales
Person
Product
8/12/2013 John Doe
Amy
Valdes
Bike-
200, Mnt, B
DimDate
DimEmployee
DateSK
8122013
DateSK
932013
EmployeeSK
5
DimReseller
ResellerSK
20
DimProduct
ProductSK
555
FactResellerSales Measures
9/3/2013 932013
Analytical System of the Data
WarehouseBI Semantic Model
Data model
Business logic
and queries
Data access ROLAP MOLAP VertiPaqDirect
Query
MDX DAX
Multi-
dimensional
Tabular
Third-partyReporting Services Excel PowerPivot
Databas
es
LOB
Application
s
Files OData
Feeds
Cloud
Services
SharePoint
ETL Logical Architecture
Extract Data
Load Staging
Extract from
Staging
Transform
Data
Load
Dimensions
Load Facts
Process Cube
Log ETL
Process
Send
Notification
Batch Processing Architecture
Data Source Staging Table DWH Table
ETL
Truncate Table
Batch Processing Architecture
(Table Switch)
Data Source
Staging Table 1
DWH Table
ETL
Staging Table 2
Truncate Table
Presentation System
This is the End of the
presentation
But not the end of the way

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Architecting business intelligence system

Notas do Editor

  1. (Rud, Olivia (2009). Business Intelligence Success Factors: Tools for Aligning Your Business in the Global Economy. Hoboken, N.J: Wiley & Sons. ISBN 978-0-470-39240-9.) BI can handle large amounts of information to help identify and develop new opportunities. Making use of new opportunities and implementing an effective strategy can provide a competitive market advantage and long-term stability.
  2. Common functions of business intelligence technologies are reporting, online analytical processing, analytics, data mining, process mining, complex event processing, business performance management, benchmarking, text mining, predictive analytics and prescriptive analytics.When using this definition, business intelligence also includes technologies such as data integration, data quality, data warehousing, master data management, text and content analytics, and many others that the market sometimes lumps into the Information Management segment.