3. About Me
Slava Kokaev – Lead Business Intelligence
Architect
at Industrial Defender
Boston BI USER GROUP leader
email:
vkokaev@boston
bi.org
web:
4. Enterprise BI Strategy and Vision
Optimize Business Processes and Operations
Analyze BP and Operations
Control BP and Operations
Monitor BP and Operations
6. 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
7. SharePoint Server
Reports Dashboards Excel
Workbooks
Analytic
Views Scorecards Plans
Microsoft’s BI platform
END USER TOOLS & PERFORMANCE MANAGEMENT APPS
Excel Power Pivot
BI PLATFORM
SQL Server
Reporting Services
SQL Server
Analysis Services
SQL Server DBMS
SQL Server Integration Services
10. Business Process Driven BI System Design
and Project Lifecycle
Project Planning and Management
Defining
Business
Process
Model
&
Requirements
Technical
Architectural
Design
Relational
Database
Design &
Development
ETL System
Design &
Development
OLAP
Database
Design &
Development
BI Application Design & Development
11. Bike Factory
Tires FactorySteel Factory
Color Factory
Warehouse Resellers
Accessory Factory
Plastic Factory
AdventureWorks
Headquarter
13. Abstract Functional Business Model
Plan
Act
Check
Do
Input Data
Resources
Plans, Business Rule and KPI
Result Data
Process Output (Facts /Measures)
Feedback (Improvement)
14. Sales Business Process
Plan Sales
Analyze Sales
Monitor
Sales
Resellers
Sales
Stock Data
Reseller (Dimension)
Sales Quota and KPI
Sales
Result
Sale Orders (Facts /Measures)
Sales Summary
Balance Scorecards
Sales Transaction
15. Business 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
Notas del editor
Data warehousing and business intelligence are fundamentally about providing business people with the information and tools they need to make both operational and strategic business decisions.Whether the decision making is strategic or operational, from a technical perspective, you need to provide the information necessary to make decisions. Any given decision will likely require a unique subset of information. You'll need to build an information infrastructure that pulls data from across the organization, and potentially from outside the organization, and then cleans, aligns, and restructures the data to make it as flexible and usable as possible. DW/BI system requires technically sophisticated data gathering and management.Finally, you need to provide the business decision makers with the tools they need to make use of the data. In this context, "tools" means much more than just software. It means everything the business users need to understand what information is available, find the subsets they need, and structure the data to illuminate the underlying business dynamics. Therefore, "tools" means training, documentation, and support, along with ad hoc query tools, reports, and analytic applications.
Developing Project Data Sources and Package ConnectionsBecause the main purpose of SSIS is to move data from sources to destinations, the nextmost important step is to add the pointers to these sources and destinations. These pointersare called data sources and connections. Data sources are stored at the project level and arefound in Solution Explorer under the logical folder named Data Sources. Connections, on theother hand, are defined within packages and are found in the Connection Managers pane atthe bottom of the Control Flow or Data Flow tab. Connections can be based on project datasources or can stand alone within packages. The next sections walk you through the uses andimplementation of project data sources and package connections.
Developing Project Data Sources and Package ConnectionsBecause the main purpose of SSIS is to move data from sources to destinations, the nextmost important step is to add the pointers to these sources and destinations. These pointersare called data sources and connections. Data sources are stored at the project level and arefound in Solution Explorer under the logical folder named Data Sources. Connections, on theother hand, are defined within packages and are found in the Connection Managers pane atthe bottom of the Control Flow or Data Flow tab. Connections can be based on project datasources or can stand alone within packages. The next sections walk you through the uses andimplementation of project data sources and package connections.