Business intelligence (BI) provides timely insights into business performance by analyzing operational data. It extracts raw data, transforms it, and loads it into data warehouses and data marts for analysis. The BI architecture includes extraction, transformation, and loading (ETL) processes; data warehouses for unified enterprise data storage; and data marts tailored for specific business needs like reporting and analysis. Common BI platforms are IBM Cognos, SAP BO, Oracle BI, and Microsoft SQL Server.

1. Business Intelligence
What is Business Intelligence?
Business Intelligence Architecture
Business Intelligence Platforms

2. What is business intelligence (BI)?
BI is a term for extracting the row data from operational data
stores and combining, correlating and summering those data for
analysis of business trends and conditions and to make
business-related decisions.
Business intelligence lets you keep track of what’s going on in
your company. It provides you with timely and pertinent insight
so you can measure your performance against your company’s
established goals, and take action at a time when it is still
possible for you to influence the outcome. Best of all, it lets you
do it all yourself, rather than having to depend on IT
professionals to provide you with the data you need at a time
that suits their schedule.
Put simply, BI lets you make better business decisions because
it gives you access to the right information at the right time.

3. Enterprise apps
O CRM Customer Relationship Management
O ERP Enterprise Resource Planning
O Health care
O Sales
O Insurance

4. What is BI?
A developer perspective
O Data integration
O Analysis
O Reporting
O Data mining

5. SQL Server BI Platform
Reporting Services
Development Tools
Management Tools
Analysis Services
OLAP & Data Mining
Integration
Services
ETL
SQL Server
Relational Engine

6. BI Architecture

8. ETL process
 Extract
 Transform
 Load

9. Staging Area
O One or more database schema(s) or file stores
used to “stage” data extracted from the
source systems prior to being published to the
“warehouse” where it is visible to end users.
O Volatile
O Bulk load
O Validation against Data Contracts

10. Data warehouse
O A data warehouse is a repository of an
organization's electronically stored data.
• A data warehouse provides a common data
model for all data of interest regardless of the
data's source
• Data warehouses are designed to facilitate
reporting and analysis
O Unified Enterprise Model
O Stores history
O Relational model
O Integrity validation (look up)

11. Data Vault
O A data modeling technique for Data Warehouse
developed by Dan Linstedt.
O A set of normalized tables:
- detail oriented
- historical tracking
- supports one or more functional area of
business
- flexible, scalable, consistent and adaptable
design
- ready for incremental development
- allows huge amount of data

12. Data Vault Architecture
vs.

13. Data vault in five steps
1. Establish the Business Keys -> Hubs
2. Establish the relationships between the Business Keys-> Links
3. Establish description around the Business Keys -> Satellites
4. Add Standalone components like Calendars and
code/descriptions
5. Tune for query optimization

14. HUB
O Hub Entities, or Hubs, are a single table
carrying at a minimum a unique list of
business keys.
O A Hub represents only one independent business
entity.
- A Hub is loaded only once.
- Other attributes in the Hub include:
• Surrogate Key
• Load Date Time Stamp
• Record Source

15. LINK
O Link Entities or Links, are a physical representation
of a many-to-many relationship.
O The Link represents the relationship or transaction
between two or more business components .
- A Link is loaded only once.
- Attributes in the Link include:
• Surrogate Key
• Natural key
• Hub 1 Key to Hub N Key
• Load Date Time Stamp
• Record Source

16. SATELLITE
O Satellite Entities or Satellites, are Hub/Link key context
(descriptive) information.
O - All of its information is subject to change over time;
therefore the structure must be capable of storing new or
altered data at the granular level.
- Thus, a Satellite is loaded more than once.
- Attributes in the Satellite include:
• Satellite Primary Key composed of
• Hub/Link primary key
• Load Date Time Stamp (Slow Changing
Dimension)
• Sequence Surrogate Number
• Load Date Time Stamp
• Record Source

17. Data Mart
O A data mart is a subset of an organizational data store,
usually oriented to a specific purpose or major data
subject, that may be distributed to support business
needs.
- Measures – numeric facts which are recognized
by dimensions
- Fact table – usually the primary table that
contains measurements
- Dimension – structural attribute of a cube
describing the data
- Each of the elements of a dimension could be
summarized using a hierarchy. The hierarchy is a
series of parent-child relationships.

18. Data mart

19. Data Mart Design
O Design schemas: Star schema, snowflake
schema. The star schema is the simplest
style of data mart schema. The star schema
consists a few fact tables referencing any
number of dimension tables
O The facts tables are holding the main data,
together with a keys of the relevant
dimensions.
O The dimension tables represent only one
entity, and they a usually holding a primary
key(used in the facts) and some attributes
describing the entity.

20. The fathers of DWH
Ralph Kimball
Data Bill Inmon
Mart
Data
Data Mart
warehouse
Source
Systems
Source
Systems

21. Balanced Scorecards

22. Dashboards

23. BI Platforms
O IBM (Cognos)
O SAP BOXI(Data Services, Universe
Designer, WEBI)
O Oracle BI Suite(Data Integrator, BI
Administrator, Oracle Presentation)
O Microsoft SQL Server
(SSIS, SSAS, SSRS, ProClarity, Dundas)
O Open Source(Jasper, Pentaho)

24. V-Model Software Engineering
Process

25. Integration services
• SSIS is a platform for building high performance
data integration solutions, including the
extraction, transformation, and loading (ETL) of
packages for data warehousing.
• Packages for both task-flow and data-flow can be
easily defined with a help of Visual Studio’s plug in
for BI Projects.
• SQL Server is able to execute these packages either
on users requests, either as part as a scheduled job.

26. Analysis services
• SSAS delivers online analytical processing (OLAP) and
data mining functionality for BI applications.
• SSAS allows you design, create, and manage
multidimensional structures that contain data
aggregated from other data sources, such as relational
databases.

27. Reporting services
• SSRS is a server-based report generation
software system.
• The same Visual Studio plug in for BI Projects
allow us to define the reports: data sources to
retrieve the data to be displayed and the layout of
the report.
• By means of web services or a web application
(ReportManager) , allows the user to see these
reports either in a custom made application either
directly via web interface.

28. Thank you