How to Create Business Intelligence Solution, Data warehouse, Extract Transform Load Concept Using Microsoft Tools Set

1. Business Intelligence Solutions
JAKARTA | 9-13 DESEMBER 2019

2. Microsoft Data Platform MVP Since 2006
Founder SQL Server Indonesia User Group Community
Milis : sqlserver-indo@yahoogroups.com
https://www.facebook.com/groups/sqlserverindonesia
About Me
My Name : Kiki Rizki Noviandi
http://www.kwad5.com
https://mvp.microsoft.com/en-
us/PublicProfile/33869?fullName=Kiki%20Rizki%20Noviandi

3. Agenda
What is BI
Business
Intelligence &
Data
Warehouse
Lifecycle for
Decision
Support
Systems
The Need for
Business
Intelligence
The
Datawarehouse
Extract
Transform Load
(ETL)
Analysis (OLAP
Cube)
The 3 Layers Of
BI & Microsoft
Toolset
3

5. 5
What is BI?
Business intelligence (BI) is a set of theories, methodologies,
architectures, and technologies that transform raw data into meaningful
and useful information for business purposes.

6. Different systems
6Business Intelligence
Data repository
Reports

7. 7
Gartner is the world's leading information technology research and
advisory company.
“We deliver the technology-related insight necessary for our clients to
make the right decisions, every day”

8. TOP Strategic
8

9. 9

10. BIandanalytics
vendors
Magic Quadrant report for 10

11. Business management issues
“We have mountains of data in this company, but we can’t access it.”
“We need to slice and dice the data every which way.”
“You’ve got to make it easy for business people to get at the data
directly.”
“Just show me what is important.”
“It drives me crazy to have two people present the same business
metrics at a meeting, but with different numbers.”
“We want people to use information to support more fact-based decision
making.”
11

12. The Business Intelligence Lifecycle

14. The complaints:
“We need information but all we have is data!”
Why Companies Need Business Intelligence by Jose Allan Tans
“Need to make data manageable and actionable in a timely manner”
Need for Business Intelligence Grows by Diann Daniel (CIO Magazine)
“Information overload”
The Snake Oil selling points:
Surface performance & operational efficiencies and deficiencies
Reveal untapped opportunities
╶ Data Mining
╶ Forecasting & Trending
Democratization of the data
Decision Support System (DSS)
Balanced Scorecard
Key Performance Indicators (KPIs)
And if you call in the next 30 minutes…
The need for Business Intelligence

15. The need for Business Intelligence
…Reactive Manager
╸ Answer questions
╸ Solve issues
╸ Trending
╸ Make decisions
╸ Understand your customers
╸ Report
Proactive Manager…
╸ Propose new questions
╸ Identify future issues
╸ Forecasting
╸ Surface decision points
╸ Discover potential customers
╸ Gain insight:

17. - Bill Inmon
A data warehouse is a for all or
parts of the that an ‘s
various business systems .
central repository
significant data enterprise
collect
The Data Warehouse

18. Central repository for all significant data that an
enterprise collects.
The Data Warehouse

19. Small OLTP database

20. Business Issue:
A customer’s order was seriously delayed.
Simple Business Question:
Who was our product supplier?
Issue & Question

21. Small OLTP database

22. Large OLTP database

23. Data Warehouse
23
must make an
organization’s information
easily accessible
must present the
organization’s information
consistently
must be adaptive and
resilient to change
must be a secure bastion
that protects our
information assets
must serve as the
foundation for improved
decision making
the business community
must accept the data
warehouse if it is to be
deemed successful

25. Data Staging Area - ETL
25
EXTRACTION
• reading and
understanding the source
data and copying the
data needed for the data
warehouse into the
staging area for further
manipulation.
TRANSFORMATION
• cleansing, combining
data from multiple
sources, deduplicating
data, and assigning
warehouse keys
LOADING
• loading the data into the
data warehouse
presentation area

26. Basic Elements of the
Data Warehouse
26
Ralph Kimball, Margy Ross, The Data Warehouse Toolkit, 2nd Edition, 2002

27. Operational Source
Systems
27
capture the
transactions
of the
business
queries
against
source
systems are
narrow
stovepipe
application

28. Data Staging Area
╸ a storage area AND
╸ a set of ETL processes (extract-transform-load)
╸ it is off-limits to business users and does not provide
query and presentation services.
28

30. Fact:
37 Lemons were sold during April in our Chicago stores.
Measure: Units sold
Dimension:Product
Dimension: Time
CUBE

33. Data Warehouse: ETL
One or many
data marts
One or many
data sources
One or many
uses

34. Microsoft SQL Server
╸ SQL Server Integration Services (SSIS)
╶ tool for the ETL process
╸ SQL Server Analysis Services (SSAS)
╶ tool for multidimensional modeling
╸ SQL Server Reporting Services (SSRS)
╶ tool for reporting
34

35. Presentation
• SQL Server Reporting Services
• SharePoint
• Performance Point
• Excel
Analysis
• SQL Server Analysis Services
• PowerPivot
E.T.L
• SQL Server Integration Services
The Microsoft Toolset

36. QUESTION ?