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BUSINESS
INTELLIEGENCE
MOHD.AIRIL SOLEHAN BIN JOHARI
MUHAMMAD AIMAN BIN ABD GHANI
MUHAMMAD NAUFAL BIN FARID
MUHAMMAD NURAZRUL AMRI BIN NOOR AZLAN
MUHAMMAD NUR ATHARI BI SHAFIEE
043911
043959
043953
044416
044439
LECTURE NAME : MOHD KHALID BIN AWANG
GROUP NAME :
DEFINITION BUSINESS INTELLIEGENCE
Business Intelligence is the processes, technologies,
and tools that help us change data into information,
information into knowledge and knowledge into plans
that guide organization.
Technologies for gathering, storing, analyzing and
providing access to data to help enterprise users
make better business Decisions
2
MAIN COMPONENT
BUSINESS INTELLIEGENCE
1. Data sources
2. ETL
3. Enterprise Data Warehouse
4. BI analytic
5. User Access
3
Place your screenshot here
4
MAIN
COMPONENT
BUSINESS
INTELLIEGENCE
Component 1 : Data Source 5
DATA SOURCE
Set of field that provide
the data for a business
unit for data transfer
into Business
Intelligence
SAP (System, Application and Product in data process)
• Use to provide a organization with flexible route to sharing
information for entire organization.
RDBMS (Relational database management system)
• Enable the IT team to create, update, administer and otherwise
interact with a relational database.
File
• Access = refer to software and activities related to soring, retrieving or
acting on data housed in database.
• Text = include word processing documents, log files and saved email
messages.
• Excel = sample data that can be used to create test files and build
Excel tables and pivot tables
Component 2 : ETL
Extraction, Transformation and loading
1. Extracting data from source operational or archive
systems which are the primary source of data for the
data warehouse.
2. Transforming the data which may involve cleaning,
filtering, validating and applying business rules.
3. Loading the data into a data warehouse or any other
database or application that houses data.
6
Component 3:
Enterprise Data Warehousing
1. Pinpoint the important data from various source for analysis
and access.
2. Support online analytical processing (OLAP).
3. Help the business executives in planning strategy and decision
making.
4. From IT view is separating the analytical process from
operational process can enhance the performance of both
areas.
5. Form the business view is Data Warehouse platform enables
to view the past without affecting daily operation of business.
7
Component 4:
Business Intelligence Analytics
 Google Analytics
 Looker
 Microsoft power BI
 Sisense
 Flexter
 Woopra
 Citibeats
8
Software that used to retrieve an analyst data for business intelligence. The software can read
that was stored in data warehouse.
Component 4:
Business Intelligence Analytics
Info Delivery
 Info delivery is a function that use
analytics application use in order to
improve on now data can be
presented to a users in order satisfy
users information needs.
 One of the info delivery capabilities is
dash boards or reports.
Business Intelligence
Dashboard
 Business Intelligence dashboard or
report is a visualize data tools that
display the real –time data and
KPI(Key Performance indicators).
 Dashboard is usually display data
with visual such as pie chart or graph.
 Dashboard interface can be
customize and has the ability to
retrieve real-time data from multiple
sources
9
Component 5: User Access
Information Portal – (Intranet/Extranet)
1. User need to be able to utilize the business intelligence (BI)
which can add value to the organization.
2. User need to know how they can access the system and give
their feedback to improve the system.
10
Definition Information Portal
 A portal which provide a way authorised people to add, edit, and
update their information held on a larger secure system.
 A portal also need to focus on functionality that suit to the
organization.
 A portal need to be user-friendly and easy to understand and not
confusing the user.
11
Component 5 :
Intranet
 A private website which can
only be access by certain
member of organization that
run it.
 Designed to communicate
and share knowledge more
effectively across business.
Extranet
 Essentially an intranet but
with secure access added for
specific, authorised people
outside the organization.
 The authorised people need
to have certain criteria which
allow them to use the
system/portal
12
Component 5:
Definition Intranet and Extranet
13
THE IMPORTANCE OF
BUSINESS
INTELLIGENCES
Better
decision
making by
eliminating
guesswork
Fast answers to
any business
query
A reduction in
cost
Enable real-
time analysis
with quick
navigation
Know the
business with
key matric report
Help identify
opportunity
and up scale
the business
Coordination
of data model
Access to
reliable and
improved
information
The challenges in implementing
Business Intelligence
1. To get good quality data is hard
2. Business intelligence is costly
3. A large time investment is needed
4. Business Intelligence with unstructed data
5. Lack of training & execution
14
Example on real implementation of
Business Intelligence
1.Plantronics
used dashboards to give a better and graphical view of their opportunity
pipeline and help managers by suggesting better allocations of sales
resources.
15
2.Connotate
delves into more detail in the same article saying that the dashboards inside
business intelligence systems allowed them to focus on more profitable
business, saving them time and money whilst also boosting customer
satisfaction rates.
3.Hello Fresh
A centralized business intelligence solution saved the marketing
analytics team 10-20 working hours per day by automating reporting
processes. It also empowered the larger marketing team to craft
regional, individualized digital marketing campaigns.
THE END

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Business Intelligence

  • 1. BUSINESS INTELLIEGENCE MOHD.AIRIL SOLEHAN BIN JOHARI MUHAMMAD AIMAN BIN ABD GHANI MUHAMMAD NAUFAL BIN FARID MUHAMMAD NURAZRUL AMRI BIN NOOR AZLAN MUHAMMAD NUR ATHARI BI SHAFIEE 043911 043959 043953 044416 044439 LECTURE NAME : MOHD KHALID BIN AWANG GROUP NAME :
  • 2. DEFINITION BUSINESS INTELLIEGENCE Business Intelligence is the processes, technologies, and tools that help us change data into information, information into knowledge and knowledge into plans that guide organization. Technologies for gathering, storing, analyzing and providing access to data to help enterprise users make better business Decisions 2
  • 3. MAIN COMPONENT BUSINESS INTELLIEGENCE 1. Data sources 2. ETL 3. Enterprise Data Warehouse 4. BI analytic 5. User Access 3
  • 4. Place your screenshot here 4 MAIN COMPONENT BUSINESS INTELLIEGENCE
  • 5. Component 1 : Data Source 5 DATA SOURCE Set of field that provide the data for a business unit for data transfer into Business Intelligence SAP (System, Application and Product in data process) • Use to provide a organization with flexible route to sharing information for entire organization. RDBMS (Relational database management system) • Enable the IT team to create, update, administer and otherwise interact with a relational database. File • Access = refer to software and activities related to soring, retrieving or acting on data housed in database. • Text = include word processing documents, log files and saved email messages. • Excel = sample data that can be used to create test files and build Excel tables and pivot tables
  • 6. Component 2 : ETL Extraction, Transformation and loading 1. Extracting data from source operational or archive systems which are the primary source of data for the data warehouse. 2. Transforming the data which may involve cleaning, filtering, validating and applying business rules. 3. Loading the data into a data warehouse or any other database or application that houses data. 6
  • 7. Component 3: Enterprise Data Warehousing 1. Pinpoint the important data from various source for analysis and access. 2. Support online analytical processing (OLAP). 3. Help the business executives in planning strategy and decision making. 4. From IT view is separating the analytical process from operational process can enhance the performance of both areas. 5. Form the business view is Data Warehouse platform enables to view the past without affecting daily operation of business. 7
  • 8. Component 4: Business Intelligence Analytics  Google Analytics  Looker  Microsoft power BI  Sisense  Flexter  Woopra  Citibeats 8 Software that used to retrieve an analyst data for business intelligence. The software can read that was stored in data warehouse.
  • 9. Component 4: Business Intelligence Analytics Info Delivery  Info delivery is a function that use analytics application use in order to improve on now data can be presented to a users in order satisfy users information needs.  One of the info delivery capabilities is dash boards or reports. Business Intelligence Dashboard  Business Intelligence dashboard or report is a visualize data tools that display the real –time data and KPI(Key Performance indicators).  Dashboard is usually display data with visual such as pie chart or graph.  Dashboard interface can be customize and has the ability to retrieve real-time data from multiple sources 9
  • 10. Component 5: User Access Information Portal – (Intranet/Extranet) 1. User need to be able to utilize the business intelligence (BI) which can add value to the organization. 2. User need to know how they can access the system and give their feedback to improve the system. 10
  • 11. Definition Information Portal  A portal which provide a way authorised people to add, edit, and update their information held on a larger secure system.  A portal also need to focus on functionality that suit to the organization.  A portal need to be user-friendly and easy to understand and not confusing the user. 11 Component 5 :
  • 12. Intranet  A private website which can only be access by certain member of organization that run it.  Designed to communicate and share knowledge more effectively across business. Extranet  Essentially an intranet but with secure access added for specific, authorised people outside the organization.  The authorised people need to have certain criteria which allow them to use the system/portal 12 Component 5: Definition Intranet and Extranet
  • 13. 13 THE IMPORTANCE OF BUSINESS INTELLIGENCES Better decision making by eliminating guesswork Fast answers to any business query A reduction in cost Enable real- time analysis with quick navigation Know the business with key matric report Help identify opportunity and up scale the business Coordination of data model Access to reliable and improved information
  • 14. The challenges in implementing Business Intelligence 1. To get good quality data is hard 2. Business intelligence is costly 3. A large time investment is needed 4. Business Intelligence with unstructed data 5. Lack of training & execution 14
  • 15. Example on real implementation of Business Intelligence 1.Plantronics used dashboards to give a better and graphical view of their opportunity pipeline and help managers by suggesting better allocations of sales resources. 15 2.Connotate delves into more detail in the same article saying that the dashboards inside business intelligence systems allowed them to focus on more profitable business, saving them time and money whilst also boosting customer satisfaction rates. 3.Hello Fresh A centralized business intelligence solution saved the marketing analytics team 10-20 working hours per day by automating reporting processes. It also empowered the larger marketing team to craft regional, individualized digital marketing campaigns.