SlideShare a Scribd company logo
1 of 8
Studetns :

Issam , Graciela
Business intelligence (BI) is a broad category of applications and
technologies for gathering, storing, analyzing, and providing access to data
to help enterprise users make better business decisions. BI applications
include the activities of decision support systems, query and reporting,
online analytical processing (OLAP), statistical analysis, forecasting, and
data mining.

Business intelligence applications can be:
•Mission-critical and integral to an enterprise's operations or occasional to
meet a special requirement
•Enterprise-wide or local to one division, department, or project
•Centrally initiated or driven by user demand
The crucial position that BI occupies in a company or an organization is dramatically
increasing everyday as new competitors are rising and new inventions are made.
the need for a new way of thinking to solve problems and face challenges is essential in order
for a company to survive in the market.
Studying the most important keys for a profitable decision to be made after speculative
analysis and supported knowledge driven by information of the existing market as well as its
new structure in the short future .
An immediate decisions must be made at the moment of facing a given problem with capacity
of being able to absolutely be ready in executing it.
BI opens the eyes on the advantage of new market opportunities by seeing things faster than
Their competitors and being able to act on them.
To achieve the benefits of analytical competition, IT
and business experts must tackle their data issues by
Answer some questions .
Which goes through sequence of stages :
 Extract information load of data ETL which is
based on saving and loading data from ODS which
stands for Operating Data store which is basically a
datawarehouse which job is to connect the source
system with the destination one , as well as not
allowing the servers to be fully saturated .
It is the name given to a type of data base dedicated to serve only one department
  In the enterprise , a DATAMART can be fed with data from the Datawarehouse
  And can also be used for analysis purposes in solving problems when found .

OLTP (On-line Transaction Processing) is characterized by a large
number of short on-line transactions (INSERT, UPDATE, DELETE). The
main emphasis for OLTP systems is put on very fast query processing,
maintaining data integrity in multi-access environments and an
effectiveness measured by number of transactions per second. In OLTP
database there is detailed and current data, and schema used to store
transactional databases is the entity model (usually 3NF).
OLAP (On-line Analytical Processing) is characterized by relatively low volume
of transactions. Queries are often very complex and involve aggregations. For OLAP
systems a response time is an effectiveness measure. OLAP applications are widely
used by Data Mining techniques. In OLAP database there is aggregated, historical
data, stored in multi-dimensional schemas (usually star schema).
Dashboards often provide at-a-glance views of KPIs relevant to a particular
objective or business process (e.g. sales, marketing, human resources, or
production).[2] The term dashboard originates from the automobile dashboard
where drivers monitor the major functions at a glance. Dashboards give signs
about a business letting you know something is wrong or something is right.
The corporate world has tried for years to come up with a solution that would
tell them if their business needed maintenance or if the temperature of their
business was running above normal. Dashboards typically are limited to show
summaries, key trends, comparisons, and exceptions. There are five Key
elements to a good dashboard:.[3]
1. Simple, communicates easily
2. Minimum distractions…it could cause confusion
3. Supports organize business with meaning and useful data
4. Applies human visual perception to visual presentation of information
5. Comforting to the eye
Business Intelligence is not about IT , it is about People .Improving their abilities to
 make better decisions ,intercommunications and negotiation .
It happens by collecting all possible information , store them call them when need to
make a rational connections which then we call knowledge. This information gives
 people the power to manage and maximize their opportunity of success .

More Related Content

What's hot

Introduction to Business Intelligence
Introduction to Business IntelligenceIntroduction to Business Intelligence
Introduction to Business IntelligenceRonan Soares
 
Business intelligence and big data
Business intelligence and big dataBusiness intelligence and big data
Business intelligence and big dataShäîl Rûlès
 
Business intelligence implementation case study
Business intelligence implementation case studyBusiness intelligence implementation case study
Business intelligence implementation case studyJennie Chen, CTP
 
Business Intelligence
Business IntelligenceBusiness Intelligence
Business IntelligenceSukirti Garg
 
Business Intelligence Presentation (1/2)
Business Intelligence Presentation (1/2)Business Intelligence Presentation (1/2)
Business Intelligence Presentation (1/2)Bernardo Najlis
 
Mis2013 chapter 12 business intelligence and knowledge management
Mis2013   chapter 12 business intelligence and knowledge managementMis2013   chapter 12 business intelligence and knowledge management
Mis2013 chapter 12 business intelligence and knowledge managementAndi Iswoyo
 
Business Intelligence Module 3
Business Intelligence Module 3Business Intelligence Module 3
Business Intelligence Module 3Home
 
Business Intelligence 101 for Business (BI 101)
Business Intelligence 101 for Business (BI 101)Business Intelligence 101 for Business (BI 101)
Business Intelligence 101 for Business (BI 101)ukdpe
 
Business Intelligence Module 1
Business Intelligence Module 1Business Intelligence Module 1
Business Intelligence Module 1Home
 
INTRODUCTION TO BUSINESS INTELLIGENCE and DATA MINING
INTRODUCTION TO BUSINESS INTELLIGENCE and DATA MININGINTRODUCTION TO BUSINESS INTELLIGENCE and DATA MINING
INTRODUCTION TO BUSINESS INTELLIGENCE and DATA MININGRajesh Math
 
Business intelligence 101
Business intelligence   101Business intelligence   101
Business intelligence 101Ashok Bhatla
 
Business Intelligence 3.0 Revolution
Business Intelligence 3.0 RevolutionBusiness Intelligence 3.0 Revolution
Business Intelligence 3.0 Revolutionwww.panorama.com
 
Business Intelligence & Technology_Pharmaceutical BI
Business Intelligence & Technology_Pharmaceutical BIBusiness Intelligence & Technology_Pharmaceutical BI
Business Intelligence & Technology_Pharmaceutical BIVikas Soni
 
Business Intelligence Module 2
Business Intelligence Module 2Business Intelligence Module 2
Business Intelligence Module 2Home
 
Business Intelligence Module 4
Business Intelligence Module 4Business Intelligence Module 4
Business Intelligence Module 4Home
 
Bi presentation Designing and Implementing Business Intelligence Systems
Bi presentation   Designing and Implementing Business Intelligence SystemsBi presentation   Designing and Implementing Business Intelligence Systems
Bi presentation Designing and Implementing Business Intelligence SystemsVispi Munshi
 

What's hot (20)

Introduction to Business Intelligence
Introduction to Business IntelligenceIntroduction to Business Intelligence
Introduction to Business Intelligence
 
Business intelligence and big data
Business intelligence and big dataBusiness intelligence and big data
Business intelligence and big data
 
BUSINESS INTELLIGENCE
BUSINESS INTELLIGENCEBUSINESS INTELLIGENCE
BUSINESS INTELLIGENCE
 
Business intelligence implementation case study
Business intelligence implementation case studyBusiness intelligence implementation case study
Business intelligence implementation case study
 
Business Intelligence - Conceptual Introduction
Business Intelligence - Conceptual IntroductionBusiness Intelligence - Conceptual Introduction
Business Intelligence - Conceptual Introduction
 
Business Intelligence
Business IntelligenceBusiness Intelligence
Business Intelligence
 
Business inteligence
Business inteligenceBusiness inteligence
Business inteligence
 
Business Intelligence Presentation (1/2)
Business Intelligence Presentation (1/2)Business Intelligence Presentation (1/2)
Business Intelligence Presentation (1/2)
 
Mis2013 chapter 12 business intelligence and knowledge management
Mis2013   chapter 12 business intelligence and knowledge managementMis2013   chapter 12 business intelligence and knowledge management
Mis2013 chapter 12 business intelligence and knowledge management
 
Business Intelligence Module 3
Business Intelligence Module 3Business Intelligence Module 3
Business Intelligence Module 3
 
Business Intelligence 101 for Business (BI 101)
Business Intelligence 101 for Business (BI 101)Business Intelligence 101 for Business (BI 101)
Business Intelligence 101 for Business (BI 101)
 
Business Intelligence Module 1
Business Intelligence Module 1Business Intelligence Module 1
Business Intelligence Module 1
 
INTRODUCTION TO BUSINESS INTELLIGENCE and DATA MINING
INTRODUCTION TO BUSINESS INTELLIGENCE and DATA MININGINTRODUCTION TO BUSINESS INTELLIGENCE and DATA MINING
INTRODUCTION TO BUSINESS INTELLIGENCE and DATA MINING
 
Business intelligence 101
Business intelligence   101Business intelligence   101
Business intelligence 101
 
Business Intelligence 3.0 Revolution
Business Intelligence 3.0 RevolutionBusiness Intelligence 3.0 Revolution
Business Intelligence 3.0 Revolution
 
Business Intelligence & Technology_Pharmaceutical BI
Business Intelligence & Technology_Pharmaceutical BIBusiness Intelligence & Technology_Pharmaceutical BI
Business Intelligence & Technology_Pharmaceutical BI
 
Business Intelligence Module 2
Business Intelligence Module 2Business Intelligence Module 2
Business Intelligence Module 2
 
Business Intelligence Module 4
Business Intelligence Module 4Business Intelligence Module 4
Business Intelligence Module 4
 
Business Analytics
Business AnalyticsBusiness Analytics
Business Analytics
 
Bi presentation Designing and Implementing Business Intelligence Systems
Bi presentation   Designing and Implementing Business Intelligence SystemsBi presentation   Designing and Implementing Business Intelligence Systems
Bi presentation Designing and Implementing Business Intelligence Systems
 

Viewers also liked

13 espace rn. limite et continuité des fonctions
13 espace rn. limite et continuité des fonctions13 espace rn. limite et continuité des fonctions
13 espace rn. limite et continuité des fonctionsAchraf Ourti
 
04 intégrale d'une fonction continue sur un segment et dérivation
04 intégrale d'une fonction continue sur un segment et dérivation04 intégrale d'une fonction continue sur un segment et dérivation
04 intégrale d'une fonction continue sur un segment et dérivationAchraf Ourti
 
01 fonctions convexes
01 fonctions convexes01 fonctions convexes
01 fonctions convexesAchraf Ourti
 
06 equations différentielles
06 equations différentielles06 equations différentielles
06 equations différentiellesAchraf Ourti
 
11 longueur et courbure d'un arc paramétré
11 longueur et courbure d'un arc paramétré11 longueur et courbure d'un arc paramétré
11 longueur et courbure d'un arc paramétréAchraf Ourti
 
35549307 capacitor-qbank
35549307 capacitor-qbank35549307 capacitor-qbank
35549307 capacitor-qbanknoracleguy
 
Documento tecnico norme_di_convivenza
Documento tecnico norme_di_convivenzaDocumento tecnico norme_di_convivenza
Documento tecnico norme_di_convivenzaittgiuseppemazzotti
 
03 propriétés de l'intégrale sur un segment d'une fonction continue
03 propriétés de l'intégrale sur un segment d'une fonction continue03 propriétés de l'intégrale sur un segment d'une fonction continue
03 propriétés de l'intégrale sur un segment d'une fonction continueAchraf Ourti
 
Choice architecture Part 1
Choice architecture Part 1Choice architecture Part 1
Choice architecture Part 1Putu Sundika
 
Share and Share Alike
Share and Share AlikeShare and Share Alike
Share and Share Alikeawebneck
 
10 courbes paramétrées planes
10 courbes paramétrées planes10 courbes paramétrées planes
10 courbes paramétrées planesAchraf Ourti
 
05 intégration sur un segment de fonctions à valeurs dans r
05 intégration sur un segment de fonctions à valeurs dans r05 intégration sur un segment de fonctions à valeurs dans r
05 intégration sur un segment de fonctions à valeurs dans rAchraf Ourti
 
12 courbes d'équation en coordonnées polaires
12 courbes d'équation en coordonnées polaires12 courbes d'équation en coordonnées polaires
12 courbes d'équation en coordonnées polairesAchraf Ourti
 

Viewers also liked (20)

20131102 rel grollo_13nov13
20131102 rel grollo_13nov1320131102 rel grollo_13nov13
20131102 rel grollo_13nov13
 
Sony ptz 25
Sony ptz 25Sony ptz 25
Sony ptz 25
 
13 espace rn. limite et continuité des fonctions
13 espace rn. limite et continuité des fonctions13 espace rn. limite et continuité des fonctions
13 espace rn. limite et continuité des fonctions
 
06
0606
06
 
02
0202
02
 
07 coniques
07 coniques07 coniques
07 coniques
 
04 intégrale d'une fonction continue sur un segment et dérivation
04 intégrale d'une fonction continue sur un segment et dérivation04 intégrale d'une fonction continue sur un segment et dérivation
04 intégrale d'une fonction continue sur un segment et dérivation
 
Baabul
BaabulBaabul
Baabul
 
01 fonctions convexes
01 fonctions convexes01 fonctions convexes
01 fonctions convexes
 
06 equations différentielles
06 equations différentielles06 equations différentielles
06 equations différentielles
 
11 longueur et courbure d'un arc paramétré
11 longueur et courbure d'un arc paramétré11 longueur et courbure d'un arc paramétré
11 longueur et courbure d'un arc paramétré
 
35549307 capacitor-qbank
35549307 capacitor-qbank35549307 capacitor-qbank
35549307 capacitor-qbank
 
Documento tecnico norme_di_convivenza
Documento tecnico norme_di_convivenzaDocumento tecnico norme_di_convivenza
Documento tecnico norme_di_convivenza
 
03 propriétés de l'intégrale sur un segment d'une fonction continue
03 propriétés de l'intégrale sur un segment d'une fonction continue03 propriétés de l'intégrale sur un segment d'une fonction continue
03 propriétés de l'intégrale sur un segment d'une fonction continue
 
04
0404
04
 
Choice architecture Part 1
Choice architecture Part 1Choice architecture Part 1
Choice architecture Part 1
 
Share and Share Alike
Share and Share AlikeShare and Share Alike
Share and Share Alike
 
10 courbes paramétrées planes
10 courbes paramétrées planes10 courbes paramétrées planes
10 courbes paramétrées planes
 
05 intégration sur un segment de fonctions à valeurs dans r
05 intégration sur un segment de fonctions à valeurs dans r05 intégration sur un segment de fonctions à valeurs dans r
05 intégration sur un segment de fonctions à valeurs dans r
 
12 courbes d'équation en coordonnées polaires
12 courbes d'équation en coordonnées polaires12 courbes d'équation en coordonnées polaires
12 courbes d'équation en coordonnées polaires
 

Similar to Business inteligince

Guide to Business Intelligence
Guide to Business IntelligenceGuide to Business Intelligence
Guide to Business IntelligenceTechnologyAdvice
 
Dw & etl concepts
Dw & etl conceptsDw & etl concepts
Dw & etl conceptsjeshocarme
 
White paper making an-operational_data_store_(ods)_the_center_of_your_data_...
White paper   making an-operational_data_store_(ods)_the_center_of_your_data_...White paper   making an-operational_data_store_(ods)_the_center_of_your_data_...
White paper making an-operational_data_store_(ods)_the_center_of_your_data_...Eric Javier Espino Man
 
The principles of the business data lake
The principles of the business data lakeThe principles of the business data lake
The principles of the business data lakeCapgemini
 
Incorta 5_eBook.pdf
Incorta 5_eBook.pdfIncorta 5_eBook.pdf
Incorta 5_eBook.pdfVishYrdy
 
Information systems
Information systemsInformation systems
Information systemsmzedan
 
Business Intelligence ( Bi )
Business Intelligence ( Bi )Business Intelligence ( Bi )
Business Intelligence ( Bi )Kim Moore
 
MBA 5401, Management Information Systems 1 Course Le.docx
MBA 5401, Management Information Systems  1  Course Le.docxMBA 5401, Management Information Systems  1  Course Le.docx
MBA 5401, Management Information Systems 1 Course Le.docxandreecapon
 
Information-Systems-and-Technology.pptx
Information-Systems-and-Technology.pptxInformation-Systems-and-Technology.pptx
Information-Systems-and-Technology.pptxAhimsaBhardwaj
 
Business Intelligence and decision support system
Business Intelligence and decision support system Business Intelligence and decision support system
Business Intelligence and decision support system Shrihari Shrihari
 
Business Intelligence and Analytics Capability
Business Intelligence and Analytics CapabilityBusiness Intelligence and Analytics Capability
Business Intelligence and Analytics CapabilityALTEN Calsoft Labs
 
Data Science And Analytics Outsourcing – Vendors, Models, Steps by Ravi Kalak...
Data Science And Analytics Outsourcing – Vendors, Models, Steps by Ravi Kalak...Data Science And Analytics Outsourcing – Vendors, Models, Steps by Ravi Kalak...
Data Science And Analytics Outsourcing – Vendors, Models, Steps by Ravi Kalak...Tommy Toy
 
Business intelligence- Components, Tools, Need and Applications
Business intelligence- Components, Tools, Need and ApplicationsBusiness intelligence- Components, Tools, Need and Applications
Business intelligence- Components, Tools, Need and Applicationsraj
 

Similar to Business inteligince (20)

Guide to Business Intelligence
Guide to Business IntelligenceGuide to Business Intelligence
Guide to Business Intelligence
 
Business intelligence
Business intelligenceBusiness intelligence
Business intelligence
 
Dw & etl concepts
Dw & etl conceptsDw & etl concepts
Dw & etl concepts
 
White paper making an-operational_data_store_(ods)_the_center_of_your_data_...
White paper   making an-operational_data_store_(ods)_the_center_of_your_data_...White paper   making an-operational_data_store_(ods)_the_center_of_your_data_...
White paper making an-operational_data_store_(ods)_the_center_of_your_data_...
 
Bi
BiBi
Bi
 
The principles of the business data lake
The principles of the business data lakeThe principles of the business data lake
The principles of the business data lake
 
Incorta 5_eBook.pdf
Incorta 5_eBook.pdfIncorta 5_eBook.pdf
Incorta 5_eBook.pdf
 
Erp and related technologies
Erp and related technologiesErp and related technologies
Erp and related technologies
 
Information systems
Information systemsInformation systems
Information systems
 
Business Intelligence ( Bi )
Business Intelligence ( Bi )Business Intelligence ( Bi )
Business Intelligence ( Bi )
 
MBA 5401, Management Information Systems 1 Course Le.docx
MBA 5401, Management Information Systems  1  Course Le.docxMBA 5401, Management Information Systems  1  Course Le.docx
MBA 5401, Management Information Systems 1 Course Le.docx
 
Information-Systems-and-Technology.pptx
Information-Systems-and-Technology.pptxInformation-Systems-and-Technology.pptx
Information-Systems-and-Technology.pptx
 
Business Intelligence and decision support system
Business Intelligence and decision support system Business Intelligence and decision support system
Business Intelligence and decision support system
 
Business Intelligence and Analytics Capability
Business Intelligence and Analytics CapabilityBusiness Intelligence and Analytics Capability
Business Intelligence and Analytics Capability
 
Jn2516891694
Jn2516891694Jn2516891694
Jn2516891694
 
Jn2516891694
Jn2516891694Jn2516891694
Jn2516891694
 
Data Science And Analytics Outsourcing – Vendors, Models, Steps by Ravi Kalak...
Data Science And Analytics Outsourcing – Vendors, Models, Steps by Ravi Kalak...Data Science And Analytics Outsourcing – Vendors, Models, Steps by Ravi Kalak...
Data Science And Analytics Outsourcing – Vendors, Models, Steps by Ravi Kalak...
 
10120140502012
1012014050201210120140502012
10120140502012
 
Erp
ErpErp
Erp
 
Business intelligence- Components, Tools, Need and Applications
Business intelligence- Components, Tools, Need and ApplicationsBusiness intelligence- Components, Tools, Need and Applications
Business intelligence- Components, Tools, Need and Applications
 

Recently uploaded

CELL CYCLE Division Science 8 quarter IV.pptx
CELL CYCLE Division Science 8 quarter IV.pptxCELL CYCLE Division Science 8 quarter IV.pptx
CELL CYCLE Division Science 8 quarter IV.pptxJiesonDelaCerna
 
internship ppt on smartinternz platform as salesforce developer
internship ppt on smartinternz platform as salesforce developerinternship ppt on smartinternz platform as salesforce developer
internship ppt on smartinternz platform as salesforce developerunnathinaik
 
Hierarchy of management that covers different levels of management
Hierarchy of management that covers different levels of managementHierarchy of management that covers different levels of management
Hierarchy of management that covers different levels of managementmkooblal
 
History Class XII Ch. 3 Kinship, Caste and Class (1).pptx
History Class XII Ch. 3 Kinship, Caste and Class (1).pptxHistory Class XII Ch. 3 Kinship, Caste and Class (1).pptx
History Class XII Ch. 3 Kinship, Caste and Class (1).pptxsocialsciencegdgrohi
 
18-04-UA_REPORT_MEDIALITERAСY_INDEX-DM_23-1-final-eng.pdf
18-04-UA_REPORT_MEDIALITERAСY_INDEX-DM_23-1-final-eng.pdf18-04-UA_REPORT_MEDIALITERAСY_INDEX-DM_23-1-final-eng.pdf
18-04-UA_REPORT_MEDIALITERAСY_INDEX-DM_23-1-final-eng.pdfssuser54595a
 
Alper Gobel In Media Res Media Component
Alper Gobel In Media Res Media ComponentAlper Gobel In Media Res Media Component
Alper Gobel In Media Res Media ComponentInMediaRes1
 
Organic Name Reactions for the students and aspirants of Chemistry12th.pptx
Organic Name Reactions  for the students and aspirants of Chemistry12th.pptxOrganic Name Reactions  for the students and aspirants of Chemistry12th.pptx
Organic Name Reactions for the students and aspirants of Chemistry12th.pptxVS Mahajan Coaching Centre
 
Presiding Officer Training module 2024 lok sabha elections
Presiding Officer Training module 2024 lok sabha electionsPresiding Officer Training module 2024 lok sabha elections
Presiding Officer Training module 2024 lok sabha electionsanshu789521
 
EPANDING THE CONTENT OF AN OUTLINE using notes.pptx
EPANDING THE CONTENT OF AN OUTLINE using notes.pptxEPANDING THE CONTENT OF AN OUTLINE using notes.pptx
EPANDING THE CONTENT OF AN OUTLINE using notes.pptxRaymartEstabillo3
 
ECONOMIC CONTEXT - LONG FORM TV DRAMA - PPT
ECONOMIC CONTEXT - LONG FORM TV DRAMA - PPTECONOMIC CONTEXT - LONG FORM TV DRAMA - PPT
ECONOMIC CONTEXT - LONG FORM TV DRAMA - PPTiammrhaywood
 
POINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptx
POINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptxPOINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptx
POINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptxSayali Powar
 
Proudly South Africa powerpoint Thorisha.pptx
Proudly South Africa powerpoint Thorisha.pptxProudly South Africa powerpoint Thorisha.pptx
Proudly South Africa powerpoint Thorisha.pptxthorishapillay1
 
Interactive Powerpoint_How to Master effective communication
Interactive Powerpoint_How to Master effective communicationInteractive Powerpoint_How to Master effective communication
Interactive Powerpoint_How to Master effective communicationnomboosow
 
Capitol Tech U Doctoral Presentation - April 2024.pptx
Capitol Tech U Doctoral Presentation - April 2024.pptxCapitol Tech U Doctoral Presentation - April 2024.pptx
Capitol Tech U Doctoral Presentation - April 2024.pptxCapitolTechU
 
Introduction to AI in Higher Education_draft.pptx
Introduction to AI in Higher Education_draft.pptxIntroduction to AI in Higher Education_draft.pptx
Introduction to AI in Higher Education_draft.pptxpboyjonauth
 
Software Engineering Methodologies (overview)
Software Engineering Methodologies (overview)Software Engineering Methodologies (overview)
Software Engineering Methodologies (overview)eniolaolutunde
 
Historical philosophical, theoretical, and legal foundations of special and i...
Historical philosophical, theoretical, and legal foundations of special and i...Historical philosophical, theoretical, and legal foundations of special and i...
Historical philosophical, theoretical, and legal foundations of special and i...jaredbarbolino94
 

Recently uploaded (20)

CELL CYCLE Division Science 8 quarter IV.pptx
CELL CYCLE Division Science 8 quarter IV.pptxCELL CYCLE Division Science 8 quarter IV.pptx
CELL CYCLE Division Science 8 quarter IV.pptx
 
internship ppt on smartinternz platform as salesforce developer
internship ppt on smartinternz platform as salesforce developerinternship ppt on smartinternz platform as salesforce developer
internship ppt on smartinternz platform as salesforce developer
 
Hierarchy of management that covers different levels of management
Hierarchy of management that covers different levels of managementHierarchy of management that covers different levels of management
Hierarchy of management that covers different levels of management
 
History Class XII Ch. 3 Kinship, Caste and Class (1).pptx
History Class XII Ch. 3 Kinship, Caste and Class (1).pptxHistory Class XII Ch. 3 Kinship, Caste and Class (1).pptx
History Class XII Ch. 3 Kinship, Caste and Class (1).pptx
 
18-04-UA_REPORT_MEDIALITERAСY_INDEX-DM_23-1-final-eng.pdf
18-04-UA_REPORT_MEDIALITERAСY_INDEX-DM_23-1-final-eng.pdf18-04-UA_REPORT_MEDIALITERAСY_INDEX-DM_23-1-final-eng.pdf
18-04-UA_REPORT_MEDIALITERAСY_INDEX-DM_23-1-final-eng.pdf
 
Alper Gobel In Media Res Media Component
Alper Gobel In Media Res Media ComponentAlper Gobel In Media Res Media Component
Alper Gobel In Media Res Media Component
 
Organic Name Reactions for the students and aspirants of Chemistry12th.pptx
Organic Name Reactions  for the students and aspirants of Chemistry12th.pptxOrganic Name Reactions  for the students and aspirants of Chemistry12th.pptx
Organic Name Reactions for the students and aspirants of Chemistry12th.pptx
 
Presiding Officer Training module 2024 lok sabha elections
Presiding Officer Training module 2024 lok sabha electionsPresiding Officer Training module 2024 lok sabha elections
Presiding Officer Training module 2024 lok sabha elections
 
EPANDING THE CONTENT OF AN OUTLINE using notes.pptx
EPANDING THE CONTENT OF AN OUTLINE using notes.pptxEPANDING THE CONTENT OF AN OUTLINE using notes.pptx
EPANDING THE CONTENT OF AN OUTLINE using notes.pptx
 
Model Call Girl in Tilak Nagar Delhi reach out to us at 🔝9953056974🔝
Model Call Girl in Tilak Nagar Delhi reach out to us at 🔝9953056974🔝Model Call Girl in Tilak Nagar Delhi reach out to us at 🔝9953056974🔝
Model Call Girl in Tilak Nagar Delhi reach out to us at 🔝9953056974🔝
 
ECONOMIC CONTEXT - LONG FORM TV DRAMA - PPT
ECONOMIC CONTEXT - LONG FORM TV DRAMA - PPTECONOMIC CONTEXT - LONG FORM TV DRAMA - PPT
ECONOMIC CONTEXT - LONG FORM TV DRAMA - PPT
 
POINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptx
POINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptxPOINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptx
POINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptx
 
Proudly South Africa powerpoint Thorisha.pptx
Proudly South Africa powerpoint Thorisha.pptxProudly South Africa powerpoint Thorisha.pptx
Proudly South Africa powerpoint Thorisha.pptx
 
Interactive Powerpoint_How to Master effective communication
Interactive Powerpoint_How to Master effective communicationInteractive Powerpoint_How to Master effective communication
Interactive Powerpoint_How to Master effective communication
 
9953330565 Low Rate Call Girls In Rohini Delhi NCR
9953330565 Low Rate Call Girls In Rohini  Delhi NCR9953330565 Low Rate Call Girls In Rohini  Delhi NCR
9953330565 Low Rate Call Girls In Rohini Delhi NCR
 
Capitol Tech U Doctoral Presentation - April 2024.pptx
Capitol Tech U Doctoral Presentation - April 2024.pptxCapitol Tech U Doctoral Presentation - April 2024.pptx
Capitol Tech U Doctoral Presentation - April 2024.pptx
 
OS-operating systems- ch04 (Threads) ...
OS-operating systems- ch04 (Threads) ...OS-operating systems- ch04 (Threads) ...
OS-operating systems- ch04 (Threads) ...
 
Introduction to AI in Higher Education_draft.pptx
Introduction to AI in Higher Education_draft.pptxIntroduction to AI in Higher Education_draft.pptx
Introduction to AI in Higher Education_draft.pptx
 
Software Engineering Methodologies (overview)
Software Engineering Methodologies (overview)Software Engineering Methodologies (overview)
Software Engineering Methodologies (overview)
 
Historical philosophical, theoretical, and legal foundations of special and i...
Historical philosophical, theoretical, and legal foundations of special and i...Historical philosophical, theoretical, and legal foundations of special and i...
Historical philosophical, theoretical, and legal foundations of special and i...
 

Business inteligince

  • 2. Business intelligence (BI) is a broad category of applications and technologies for gathering, storing, analyzing, and providing access to data to help enterprise users make better business decisions. BI applications include the activities of decision support systems, query and reporting, online analytical processing (OLAP), statistical analysis, forecasting, and data mining. Business intelligence applications can be: •Mission-critical and integral to an enterprise's operations or occasional to meet a special requirement •Enterprise-wide or local to one division, department, or project •Centrally initiated or driven by user demand
  • 3. The crucial position that BI occupies in a company or an organization is dramatically increasing everyday as new competitors are rising and new inventions are made. the need for a new way of thinking to solve problems and face challenges is essential in order for a company to survive in the market. Studying the most important keys for a profitable decision to be made after speculative analysis and supported knowledge driven by information of the existing market as well as its new structure in the short future . An immediate decisions must be made at the moment of facing a given problem with capacity of being able to absolutely be ready in executing it. BI opens the eyes on the advantage of new market opportunities by seeing things faster than Their competitors and being able to act on them.
  • 4. To achieve the benefits of analytical competition, IT and business experts must tackle their data issues by Answer some questions . Which goes through sequence of stages : Extract information load of data ETL which is based on saving and loading data from ODS which stands for Operating Data store which is basically a datawarehouse which job is to connect the source system with the destination one , as well as not allowing the servers to be fully saturated .
  • 5. It is the name given to a type of data base dedicated to serve only one department In the enterprise , a DATAMART can be fed with data from the Datawarehouse And can also be used for analysis purposes in solving problems when found . OLTP (On-line Transaction Processing) is characterized by a large number of short on-line transactions (INSERT, UPDATE, DELETE). The main emphasis for OLTP systems is put on very fast query processing, maintaining data integrity in multi-access environments and an effectiveness measured by number of transactions per second. In OLTP database there is detailed and current data, and schema used to store transactional databases is the entity model (usually 3NF).
  • 6. OLAP (On-line Analytical Processing) is characterized by relatively low volume of transactions. Queries are often very complex and involve aggregations. For OLAP systems a response time is an effectiveness measure. OLAP applications are widely used by Data Mining techniques. In OLAP database there is aggregated, historical data, stored in multi-dimensional schemas (usually star schema).
  • 7. Dashboards often provide at-a-glance views of KPIs relevant to a particular objective or business process (e.g. sales, marketing, human resources, or production).[2] The term dashboard originates from the automobile dashboard where drivers monitor the major functions at a glance. Dashboards give signs about a business letting you know something is wrong or something is right. The corporate world has tried for years to come up with a solution that would tell them if their business needed maintenance or if the temperature of their business was running above normal. Dashboards typically are limited to show summaries, key trends, comparisons, and exceptions. There are five Key elements to a good dashboard:.[3] 1. Simple, communicates easily 2. Minimum distractions…it could cause confusion 3. Supports organize business with meaning and useful data 4. Applies human visual perception to visual presentation of information 5. Comforting to the eye
  • 8. Business Intelligence is not about IT , it is about People .Improving their abilities to make better decisions ,intercommunications and negotiation . It happens by collecting all possible information , store them call them when need to make a rational connections which then we call knowledge. This information gives people the power to manage and maximize their opportunity of success .