2. Slava Kokaev
Lead Business Intelligence Architect at
Industrial Defender
Email: vkokaev@bostonbi.org
Twitter: @SlavaKokaev
3. 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
4. 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
5. 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."
6. What is Business Intelligence
Technologies?
BI technologies provide historical, current and
predictive views of business operations.
7. 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
18. 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
19. 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
21. 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)
24. 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
25. 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
26. ETL Logical Architecture
Extract Data
Load Staging
Extract from
Staging
Transform
Data
Load
Dimensions
Load Facts
Process Cube
Log ETL
Process
Send
Notification
30. This is the End of the
presentation
But not the end of the way
Notes de l'éditeur
(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.
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.