SlideShare uma empresa Scribd logo
1 de 70
IBM Cognos Business intelligence
Vishal choudhary
What is IBM Cognos BI
is a web based reporting and analytic tool. It is
used to perform data aggregation and create
user friendly detailed reports. IBM Cognos
provides a wide range of features and can be
considered as an enterprise software to
provide flexible reporting environment and
can be used for large and medium enterprise
Benefits of IBM Cognos
Cognos will specifically benefit your company in these five ways:
1. It leverages your data by analyzing information to reveal hidden insights so
you can make confident and informed decisions with improved
operational efficiency.
2. It offers powerful "what if" scenario tools that allow you to make more
confident decisions with predictive analytics, allowing you to plan and
reach your organizational goals faster.
3. It transforms your business from a reactive model to a proactive
organization. Identifiy corporate risks and new opportunities from the get
go!
4. With Cognos Studios you can easily design and create a custom dashboard.
In just a few simple steps you can interact with this information for greater
business intelligence insights.
5. Create dynamic reports with an easy to use drag and drop user interface for
content authoring, relational or dimensional data, multiple data layouts
and visualizations, various styles and formatting, distribution, and
incorporation of multiple external data sources.
Data Warehouse
• Data from multiple heterogeneous data
sources and is used for analytical reporting
and decision making. Data Warehouse is a
central place where data is stored from
different data sources and applications.
OLTP vs OLAP
• ETL & Reporting Tools
An ETL tool extracts the data from all these
heterogeneous data sources, transforms the
data (like applying calculations, joining fields,
keys, removing incorrect data fields, etc.), and
loads it into a Data Warehouse.
The data mart is a subset of the data
warehouse and is usually oriented to a specific
business line or team. Whereas data
warehouses have an enterprise-wide depth,
the information in data marts pertains to a
single department. In some deployments,
each department or business unit is
considered the owner of its data mart
including all the hardware, software and data
BI Reporting Tool
There are quite a few BI Reporting, Dashboard and
Data Visualization Tools available in the market.
Some of which are as follows –
• SAP Business Objects Web Intelligence (WebI)
• Crystal Reports
• SAP Lumira
• Dashboard Designer
• IBM Cognos
• Microsoft BI Platform
Multilayer architecture
• UI
• T1:web server
• T2:application server
• T3:data
• Prompt controls provide the user interface in
which the questions are asked. Parameter
values provide the answers to the questions. If
you include reports from different packages in
an interactive dashboard that uses global
filters, ensure that you use the same
parameter name for the prompt in all the
reports.
IBM Cognos BI - Powerful Reporting and Analytics Tool
IBM Cognos BI - Powerful Reporting and Analytics Tool
IBM Cognos BI - Powerful Reporting and Analytics Tool
IBM Cognos BI - Powerful Reporting and Analytics Tool
IBM Cognos BI - Powerful Reporting and Analytics Tool
IBM Cognos BI - Powerful Reporting and Analytics Tool
IBM Cognos BI - Powerful Reporting and Analytics Tool
IBM Cognos BI - Powerful Reporting and Analytics Tool
IBM Cognos BI - Powerful Reporting and Analytics Tool
IBM Cognos BI - Powerful Reporting and Analytics Tool
IBM Cognos BI - Powerful Reporting and Analytics Tool
IBM Cognos BI - Powerful Reporting and Analytics Tool
IBM Cognos BI - Powerful Reporting and Analytics Tool
IBM Cognos BI - Powerful Reporting and Analytics Tool
IBM Cognos BI - Powerful Reporting and Analytics Tool
IBM Cognos BI - Powerful Reporting and Analytics Tool
IBM Cognos BI - Powerful Reporting and Analytics Tool
IBM Cognos BI - Powerful Reporting and Analytics Tool
IBM Cognos BI - Powerful Reporting and Analytics Tool
IBM Cognos BI - Powerful Reporting and Analytics Tool
IBM Cognos BI - Powerful Reporting and Analytics Tool
IBM Cognos BI - Powerful Reporting and Analytics Tool
IBM Cognos BI - Powerful Reporting and Analytics Tool
IBM Cognos BI - Powerful Reporting and Analytics Tool
IBM Cognos BI - Powerful Reporting and Analytics Tool
IBM Cognos BI - Powerful Reporting and Analytics Tool
IBM Cognos BI - Powerful Reporting and Analytics Tool
IBM Cognos BI - Powerful Reporting and Analytics Tool
IBM Cognos BI - Powerful Reporting and Analytics Tool
IBM Cognos BI - Powerful Reporting and Analytics Tool
IBM Cognos BI - Powerful Reporting and Analytics Tool
IBM Cognos BI - Powerful Reporting and Analytics Tool
IBM Cognos BI - Powerful Reporting and Analytics Tool
IBM Cognos BI - Powerful Reporting and Analytics Tool
IBM Cognos BI - Powerful Reporting and Analytics Tool
IBM Cognos BI - Powerful Reporting and Analytics Tool
IBM Cognos BI - Powerful Reporting and Analytics Tool
IBM Cognos BI - Powerful Reporting and Analytics Tool
IBM Cognos BI - Powerful Reporting and Analytics Tool
IBM Cognos BI - Powerful Reporting and Analytics Tool
IBM Cognos BI - Powerful Reporting and Analytics Tool
IBM Cognos BI - Powerful Reporting and Analytics Tool
IBM Cognos BI - Powerful Reporting and Analytics Tool
IBM Cognos BI - Powerful Reporting and Analytics Tool
IBM Cognos BI - Powerful Reporting and Analytics Tool

Mais conteúdo relacionado

Semelhante a IBM Cognos BI - Powerful Reporting and Analytics Tool

BI for BFSI at Microsoft ISU FY10 India - By Sanjay Mehta, CEO, MAIA Intellig...
BI for BFSI at Microsoft ISU FY10 India - By Sanjay Mehta, CEO, MAIA Intellig...BI for BFSI at Microsoft ISU FY10 India - By Sanjay Mehta, CEO, MAIA Intellig...
BI for BFSI at Microsoft ISU FY10 India - By Sanjay Mehta, CEO, MAIA Intellig...Dhiren Gala
 
Top 20 Best Business Intelligence Tools | CIO Women Magazine
Top 20 Best Business Intelligence Tools | CIO Women MagazineTop 20 Best Business Intelligence Tools | CIO Women Magazine
Top 20 Best Business Intelligence Tools | CIO Women MagazineCIOWomenMagazine
 
Intro to Report Developer Role
Intro to Report Developer RoleIntro to Report Developer Role
Intro to Report Developer RoleJonathan Bloom
 
Business Intelligence Module 5
Business Intelligence Module 5Business Intelligence Module 5
Business Intelligence Module 5Home
 
10 Best Big Data Management Tools
10 Best Big Data Management Tools10 Best Big Data Management Tools
10 Best Big Data Management ToolsPromptCloud
 
SPS Vancouver 2018 - What is CDM and CDS
SPS Vancouver 2018 - What is CDM and CDSSPS Vancouver 2018 - What is CDM and CDS
SPS Vancouver 2018 - What is CDM and CDSNicolas Georgeault
 
Business intelligence tools to handle big data
Business intelligence tools to handle big dataBusiness intelligence tools to handle big data
Business intelligence tools to handle big dataIshucs
 
Chapter 4 computer enabled project topic.pptx To familiarise Computer applica...
Chapter 4 computer enabled project topic.pptx To familiarise Computer applica...Chapter 4 computer enabled project topic.pptx To familiarise Computer applica...
Chapter 4 computer enabled project topic.pptx To familiarise Computer applica...anamikaghosh21
 
Top Big data Analytics tools: Emerging trends and Best practices
Top Big data Analytics tools: Emerging trends and Best practicesTop Big data Analytics tools: Emerging trends and Best practices
Top Big data Analytics tools: Emerging trends and Best practicesSpringPeople
 
8 Steps to BI Success - Choosing The Ideal Business Intelligence Solution
8 Steps to BI Success - Choosing The Ideal Business Intelligence Solution8 Steps to BI Success - Choosing The Ideal Business Intelligence Solution
8 Steps to BI Success - Choosing The Ideal Business Intelligence SolutionChristian Ofori-Boateng
 
CRM-UG Summit Phoenix 2018 - What is Common Data Model and how to use it?
CRM-UG Summit Phoenix 2018 - What is Common Data Model and how to use it?CRM-UG Summit Phoenix 2018 - What is Common Data Model and how to use it?
CRM-UG Summit Phoenix 2018 - What is Common Data Model and how to use it?Nicolas Georgeault
 

Semelhante a IBM Cognos BI - Powerful Reporting and Analytics Tool (20)

Why Infor BI?
Why Infor BI?Why Infor BI?
Why Infor BI?
 
BI for BFSI at Microsoft ISU FY10 India - By Sanjay Mehta, CEO, MAIA Intellig...
BI for BFSI at Microsoft ISU FY10 India - By Sanjay Mehta, CEO, MAIA Intellig...BI for BFSI at Microsoft ISU FY10 India - By Sanjay Mehta, CEO, MAIA Intellig...
BI for BFSI at Microsoft ISU FY10 India - By Sanjay Mehta, CEO, MAIA Intellig...
 
Top 20 Best Business Intelligence Tools | CIO Women Magazine
Top 20 Best Business Intelligence Tools | CIO Women MagazineTop 20 Best Business Intelligence Tools | CIO Women Magazine
Top 20 Best Business Intelligence Tools | CIO Women Magazine
 
Intro to Report Developer Role
Intro to Report Developer RoleIntro to Report Developer Role
Intro to Report Developer Role
 
Business Intelligence Module 5
Business Intelligence Module 5Business Intelligence Module 5
Business Intelligence Module 5
 
Bi ebook
Bi ebookBi ebook
Bi ebook
 
Bi ebook
Bi ebookBi ebook
Bi ebook
 
Microstrategy Overview
Microstrategy OverviewMicrostrategy Overview
Microstrategy Overview
 
10 Best Big Data Management Tools
10 Best Big Data Management Tools10 Best Big Data Management Tools
10 Best Big Data Management Tools
 
Top 10 bi
Top 10 biTop 10 bi
Top 10 bi
 
Top 10 bi
Top 10 biTop 10 bi
Top 10 bi
 
SPS Vancouver 2018 - What is CDM and CDS
SPS Vancouver 2018 - What is CDM and CDSSPS Vancouver 2018 - What is CDM and CDS
SPS Vancouver 2018 - What is CDM and CDS
 
Business intelligence
Business intelligenceBusiness intelligence
Business intelligence
 
Business intelligence tools to handle big data
Business intelligence tools to handle big dataBusiness intelligence tools to handle big data
Business intelligence tools to handle big data
 
Chapter 4 computer enabled project topic.pptx To familiarise Computer applica...
Chapter 4 computer enabled project topic.pptx To familiarise Computer applica...Chapter 4 computer enabled project topic.pptx To familiarise Computer applica...
Chapter 4 computer enabled project topic.pptx To familiarise Computer applica...
 
IBM Operations Analytics For z Systems V2.2 - Client Short Pres
IBM Operations Analytics For z Systems V2.2 - Client Short PresIBM Operations Analytics For z Systems V2.2 - Client Short Pres
IBM Operations Analytics For z Systems V2.2 - Client Short Pres
 
Top Big data Analytics tools: Emerging trends and Best practices
Top Big data Analytics tools: Emerging trends and Best practicesTop Big data Analytics tools: Emerging trends and Best practices
Top Big data Analytics tools: Emerging trends and Best practices
 
Top 5 Sectors To Make Big In Data Analytics
Top 5 Sectors To Make Big In Data AnalyticsTop 5 Sectors To Make Big In Data Analytics
Top 5 Sectors To Make Big In Data Analytics
 
8 Steps to BI Success - Choosing The Ideal Business Intelligence Solution
8 Steps to BI Success - Choosing The Ideal Business Intelligence Solution8 Steps to BI Success - Choosing The Ideal Business Intelligence Solution
8 Steps to BI Success - Choosing The Ideal Business Intelligence Solution
 
CRM-UG Summit Phoenix 2018 - What is Common Data Model and how to use it?
CRM-UG Summit Phoenix 2018 - What is Common Data Model and how to use it?CRM-UG Summit Phoenix 2018 - What is Common Data Model and how to use it?
CRM-UG Summit Phoenix 2018 - What is Common Data Model and how to use it?
 

Mais de vishal choudhary (20)

SE-Lecture1.ppt
SE-Lecture1.pptSE-Lecture1.ppt
SE-Lecture1.ppt
 
SE-Testing.ppt
SE-Testing.pptSE-Testing.ppt
SE-Testing.ppt
 
SE-CyclomaticComplexityand Testing.ppt
SE-CyclomaticComplexityand Testing.pptSE-CyclomaticComplexityand Testing.ppt
SE-CyclomaticComplexityand Testing.ppt
 
SE-Lecture-7.pptx
SE-Lecture-7.pptxSE-Lecture-7.pptx
SE-Lecture-7.pptx
 
Se-Lecture-6.ppt
Se-Lecture-6.pptSe-Lecture-6.ppt
Se-Lecture-6.ppt
 
SE-Lecture-5.pptx
SE-Lecture-5.pptxSE-Lecture-5.pptx
SE-Lecture-5.pptx
 
XML.pptx
XML.pptxXML.pptx
XML.pptx
 
SE-Lecture-8.pptx
SE-Lecture-8.pptxSE-Lecture-8.pptx
SE-Lecture-8.pptx
 
SE-coupling and cohesion.ppt
SE-coupling and cohesion.pptSE-coupling and cohesion.ppt
SE-coupling and cohesion.ppt
 
SE-Lecture-2.pptx
SE-Lecture-2.pptxSE-Lecture-2.pptx
SE-Lecture-2.pptx
 
SE-software design.ppt
SE-software design.pptSE-software design.ppt
SE-software design.ppt
 
SE1.ppt
SE1.pptSE1.ppt
SE1.ppt
 
SE-Lecture-4.pptx
SE-Lecture-4.pptxSE-Lecture-4.pptx
SE-Lecture-4.pptx
 
SE-Lecture=3.pptx
SE-Lecture=3.pptxSE-Lecture=3.pptx
SE-Lecture=3.pptx
 
Multimedia-Lecture-Animation.pptx
Multimedia-Lecture-Animation.pptxMultimedia-Lecture-Animation.pptx
Multimedia-Lecture-Animation.pptx
 
MultimediaLecture5.pptx
MultimediaLecture5.pptxMultimediaLecture5.pptx
MultimediaLecture5.pptx
 
Multimedia-Lecture-7.pptx
Multimedia-Lecture-7.pptxMultimedia-Lecture-7.pptx
Multimedia-Lecture-7.pptx
 
MultiMedia-Lecture-4.pptx
MultiMedia-Lecture-4.pptxMultiMedia-Lecture-4.pptx
MultiMedia-Lecture-4.pptx
 
Multimedia-Lecture-6.pptx
Multimedia-Lecture-6.pptxMultimedia-Lecture-6.pptx
Multimedia-Lecture-6.pptx
 
Multimedia-Lecture-3.pptx
Multimedia-Lecture-3.pptxMultimedia-Lecture-3.pptx
Multimedia-Lecture-3.pptx
 

Último

1029 - Danh muc Sach Giao Khoa 10 . pdf
1029 -  Danh muc Sach Giao Khoa 10 . pdf1029 -  Danh muc Sach Giao Khoa 10 . pdf
1029 - Danh muc Sach Giao Khoa 10 . pdfQucHHunhnh
 
Sanyam Choudhary Chemistry practical.pdf
Sanyam Choudhary Chemistry practical.pdfSanyam Choudhary Chemistry practical.pdf
Sanyam Choudhary Chemistry practical.pdfsanyamsingh5019
 
Hybridoma Technology ( Production , Purification , and Application )
Hybridoma Technology  ( Production , Purification , and Application  ) Hybridoma Technology  ( Production , Purification , and Application  )
Hybridoma Technology ( Production , Purification , and Application ) Sakshi Ghasle
 
SOCIAL AND HISTORICAL CONTEXT - LFTVD.pptx
SOCIAL AND HISTORICAL CONTEXT - LFTVD.pptxSOCIAL AND HISTORICAL CONTEXT - LFTVD.pptx
SOCIAL AND HISTORICAL CONTEXT - LFTVD.pptxiammrhaywood
 
microwave assisted reaction. General introduction
microwave assisted reaction. General introductionmicrowave assisted reaction. General introduction
microwave assisted reaction. General introductionMaksud Ahmed
 
Advanced Views - Calendar View in Odoo 17
Advanced Views - Calendar View in Odoo 17Advanced Views - Calendar View in Odoo 17
Advanced Views - Calendar View in Odoo 17Celine George
 
Arihant handbook biology for class 11 .pdf
Arihant handbook biology for class 11 .pdfArihant handbook biology for class 11 .pdf
Arihant handbook biology for class 11 .pdfchloefrazer622
 
Web & Social Media Analytics Previous Year Question Paper.pdf
Web & Social Media Analytics Previous Year Question Paper.pdfWeb & Social Media Analytics Previous Year Question Paper.pdf
Web & Social Media Analytics Previous Year Question Paper.pdfJayanti Pande
 
Separation of Lanthanides/ Lanthanides and Actinides
Separation of Lanthanides/ Lanthanides and ActinidesSeparation of Lanthanides/ Lanthanides and Actinides
Separation of Lanthanides/ Lanthanides and ActinidesFatimaKhan178732
 
Contemporary philippine arts from the regions_PPT_Module_12 [Autosaved] (1).pptx
Contemporary philippine arts from the regions_PPT_Module_12 [Autosaved] (1).pptxContemporary philippine arts from the regions_PPT_Module_12 [Autosaved] (1).pptx
Contemporary philippine arts from the regions_PPT_Module_12 [Autosaved] (1).pptxRoyAbrique
 
The Most Excellent Way | 1 Corinthians 13
The Most Excellent Way | 1 Corinthians 13The Most Excellent Way | 1 Corinthians 13
The Most Excellent Way | 1 Corinthians 13Steve Thomason
 
Presentation by Andreas Schleicher Tackling the School Absenteeism Crisis 30 ...
Presentation by Andreas Schleicher Tackling the School Absenteeism Crisis 30 ...Presentation by Andreas Schleicher Tackling the School Absenteeism Crisis 30 ...
Presentation by Andreas Schleicher Tackling the School Absenteeism Crisis 30 ...EduSkills OECD
 
How to Make a Pirate ship Primary Education.pptx
How to Make a Pirate ship Primary Education.pptxHow to Make a Pirate ship Primary Education.pptx
How to Make a Pirate ship Primary Education.pptxmanuelaromero2013
 
A Critique of the Proposed National Education Policy Reform
A Critique of the Proposed National Education Policy ReformA Critique of the Proposed National Education Policy Reform
A Critique of the Proposed National Education Policy ReformChameera Dedduwage
 
Industrial Policy - 1948, 1956, 1973, 1977, 1980, 1991
Industrial Policy - 1948, 1956, 1973, 1977, 1980, 1991Industrial Policy - 1948, 1956, 1973, 1977, 1980, 1991
Industrial Policy - 1948, 1956, 1973, 1977, 1980, 1991RKavithamani
 

Último (20)

1029 - Danh muc Sach Giao Khoa 10 . pdf
1029 -  Danh muc Sach Giao Khoa 10 . pdf1029 -  Danh muc Sach Giao Khoa 10 . pdf
1029 - Danh muc Sach Giao Khoa 10 . pdf
 
Mattingly "AI & Prompt Design: The Basics of Prompt Design"
Mattingly "AI & Prompt Design: The Basics of Prompt Design"Mattingly "AI & Prompt Design: The Basics of Prompt Design"
Mattingly "AI & Prompt Design: The Basics of Prompt Design"
 
Sanyam Choudhary Chemistry practical.pdf
Sanyam Choudhary Chemistry practical.pdfSanyam Choudhary Chemistry practical.pdf
Sanyam Choudhary Chemistry practical.pdf
 
Hybridoma Technology ( Production , Purification , and Application )
Hybridoma Technology  ( Production , Purification , and Application  ) Hybridoma Technology  ( Production , Purification , and Application  )
Hybridoma Technology ( Production , Purification , and Application )
 
SOCIAL AND HISTORICAL CONTEXT - LFTVD.pptx
SOCIAL AND HISTORICAL CONTEXT - LFTVD.pptxSOCIAL AND HISTORICAL CONTEXT - LFTVD.pptx
SOCIAL AND HISTORICAL CONTEXT - LFTVD.pptx
 
Código Creativo y Arte de Software | Unidad 1
Código Creativo y Arte de Software | Unidad 1Código Creativo y Arte de Software | Unidad 1
Código Creativo y Arte de Software | Unidad 1
 
microwave assisted reaction. General introduction
microwave assisted reaction. General introductionmicrowave assisted reaction. General introduction
microwave assisted reaction. General introduction
 
TataKelola dan KamSiber Kecerdasan Buatan v022.pdf
TataKelola dan KamSiber Kecerdasan Buatan v022.pdfTataKelola dan KamSiber Kecerdasan Buatan v022.pdf
TataKelola dan KamSiber Kecerdasan Buatan v022.pdf
 
Advanced Views - Calendar View in Odoo 17
Advanced Views - Calendar View in Odoo 17Advanced Views - Calendar View in Odoo 17
Advanced Views - Calendar View in Odoo 17
 
Arihant handbook biology for class 11 .pdf
Arihant handbook biology for class 11 .pdfArihant handbook biology for class 11 .pdf
Arihant handbook biology for class 11 .pdf
 
Web & Social Media Analytics Previous Year Question Paper.pdf
Web & Social Media Analytics Previous Year Question Paper.pdfWeb & Social Media Analytics Previous Year Question Paper.pdf
Web & Social Media Analytics Previous Year Question Paper.pdf
 
Separation of Lanthanides/ Lanthanides and Actinides
Separation of Lanthanides/ Lanthanides and ActinidesSeparation of Lanthanides/ Lanthanides and Actinides
Separation of Lanthanides/ Lanthanides and Actinides
 
Contemporary philippine arts from the regions_PPT_Module_12 [Autosaved] (1).pptx
Contemporary philippine arts from the regions_PPT_Module_12 [Autosaved] (1).pptxContemporary philippine arts from the regions_PPT_Module_12 [Autosaved] (1).pptx
Contemporary philippine arts from the regions_PPT_Module_12 [Autosaved] (1).pptx
 
The Most Excellent Way | 1 Corinthians 13
The Most Excellent Way | 1 Corinthians 13The Most Excellent Way | 1 Corinthians 13
The Most Excellent Way | 1 Corinthians 13
 
Presentation by Andreas Schleicher Tackling the School Absenteeism Crisis 30 ...
Presentation by Andreas Schleicher Tackling the School Absenteeism Crisis 30 ...Presentation by Andreas Schleicher Tackling the School Absenteeism Crisis 30 ...
Presentation by Andreas Schleicher Tackling the School Absenteeism Crisis 30 ...
 
How to Make a Pirate ship Primary Education.pptx
How to Make a Pirate ship Primary Education.pptxHow to Make a Pirate ship Primary Education.pptx
How to Make a Pirate ship Primary Education.pptx
 
Mattingly "AI & Prompt Design: Structured Data, Assistants, & RAG"
Mattingly "AI & Prompt Design: Structured Data, Assistants, & RAG"Mattingly "AI & Prompt Design: Structured Data, Assistants, & RAG"
Mattingly "AI & Prompt Design: Structured Data, Assistants, & RAG"
 
INDIA QUIZ 2024 RLAC DELHI UNIVERSITY.pptx
INDIA QUIZ 2024 RLAC DELHI UNIVERSITY.pptxINDIA QUIZ 2024 RLAC DELHI UNIVERSITY.pptx
INDIA QUIZ 2024 RLAC DELHI UNIVERSITY.pptx
 
A Critique of the Proposed National Education Policy Reform
A Critique of the Proposed National Education Policy ReformA Critique of the Proposed National Education Policy Reform
A Critique of the Proposed National Education Policy Reform
 
Industrial Policy - 1948, 1956, 1973, 1977, 1980, 1991
Industrial Policy - 1948, 1956, 1973, 1977, 1980, 1991Industrial Policy - 1948, 1956, 1973, 1977, 1980, 1991
Industrial Policy - 1948, 1956, 1973, 1977, 1980, 1991
 

IBM Cognos BI - Powerful Reporting and Analytics Tool

  • 1. IBM Cognos Business intelligence Vishal choudhary
  • 2. What is IBM Cognos BI
  • 3. is a web based reporting and analytic tool. It is used to perform data aggregation and create user friendly detailed reports. IBM Cognos provides a wide range of features and can be considered as an enterprise software to provide flexible reporting environment and can be used for large and medium enterprise
  • 4. Benefits of IBM Cognos Cognos will specifically benefit your company in these five ways: 1. It leverages your data by analyzing information to reveal hidden insights so you can make confident and informed decisions with improved operational efficiency. 2. It offers powerful "what if" scenario tools that allow you to make more confident decisions with predictive analytics, allowing you to plan and reach your organizational goals faster. 3. It transforms your business from a reactive model to a proactive organization. Identifiy corporate risks and new opportunities from the get go! 4. With Cognos Studios you can easily design and create a custom dashboard. In just a few simple steps you can interact with this information for greater business intelligence insights. 5. Create dynamic reports with an easy to use drag and drop user interface for content authoring, relational or dimensional data, multiple data layouts and visualizations, various styles and formatting, distribution, and incorporation of multiple external data sources.
  • 5. Data Warehouse • Data from multiple heterogeneous data sources and is used for analytical reporting and decision making. Data Warehouse is a central place where data is stored from different data sources and applications.
  • 6. OLTP vs OLAP • ETL & Reporting Tools An ETL tool extracts the data from all these heterogeneous data sources, transforms the data (like applying calculations, joining fields, keys, removing incorrect data fields, etc.), and loads it into a Data Warehouse.
  • 7.
  • 8. The data mart is a subset of the data warehouse and is usually oriented to a specific business line or team. Whereas data warehouses have an enterprise-wide depth, the information in data marts pertains to a single department. In some deployments, each department or business unit is considered the owner of its data mart including all the hardware, software and data
  • 9. BI Reporting Tool There are quite a few BI Reporting, Dashboard and Data Visualization Tools available in the market. Some of which are as follows – • SAP Business Objects Web Intelligence (WebI) • Crystal Reports • SAP Lumira • Dashboard Designer • IBM Cognos • Microsoft BI Platform
  • 10.
  • 11.
  • 12. Multilayer architecture • UI • T1:web server • T2:application server • T3:data
  • 13.
  • 14.
  • 15.
  • 16.
  • 17.
  • 18.
  • 19.
  • 20.
  • 21.
  • 22.
  • 23.
  • 24.
  • 25. • Prompt controls provide the user interface in which the questions are asked. Parameter values provide the answers to the questions. If you include reports from different packages in an interactive dashboard that uses global filters, ensure that you use the same parameter name for the prompt in all the reports.