SlideShare a Scribd company logo
1 of 17
THE RIGHT APPROACHTO
BUSINESSINTELLIGENCE
Bayar Shahab- IT Specialist
Darin Group
OUTLINE
֍What isBI (BusinessIntelligence)
֍HowBIcan answer ourbusinessneeds?
֍Speed
֍VisualData Discovery
֍ConnecttoAnyData
֍Real-timeCollaboration
֍ComprehensiveGovernance
֍Scalability
֍Mobile
2
8/30/2017
WHATIS BI(BUSINESSINTELLIGENCE)?
 Gathering, storing, analyzing and sharing data to help business
users make better decisions
OR Simply
 Getting the right information, to the right decision makers, at the right
time.
3
8/30/2017
BI IS DESIGNEDTO ENABLE MANAGERSTOMAKERIGHT
DECISIONS&ANSWER
8/30/2017
4
What do Iwant to happen? What-if?
What will happen?
Why did it happen?
What is happening?
What happened?
ERP CRM ExcelDatabase Acco.
Future
Past
Present
Data
Analysis &
Decision
Presentation
EXAMPLE
Marketing
If Inventory Levels Drop by 10% will
Customers Shop else where
Production
HowMany Products Sold Dueto TV
Ads Last Month
Finance
Howmany investors willmake %10
revenue for the company
Sales
WhichCustomer Demographic is
Performing Bestfor Product A5
BI
BIBALANCEDILEMMA
8/30/2017
6
Time
Making Right BusinessDecisions
is a Balance
Data Opinion
Business IntelligenceSolutions
TYPESOF USERS
• Users have the ability to view static information online and/or print to a
local printer.Executives
• Ability to refresh report information and the ability to enter desired
information parameters for the purposes of performing high-level research
and analysis.
Casual Users
• In addition tothe privileges of a casual user, functional users have the ability
to develop their own ad hoc queries and perform OLAP analysis.Functional Users
• They have full privileges to explore and analyze the data with the BI
applications availabletothem.Super Users
8/30/2017
7
SEVENKEY ATTRIBUTESOF BUSINESS
INTELLIGENCE(TABLEAU.COM)*
 Speed
 Visual Data Discovery
 Connect to Any Data
 Real-time Collaboration
 Comprehensive Governance
 Scalability
 Mobile
8/30/2017
8
1- SPEED
▪ Access, analyses, share andmake decision in a matter of hours.
▪ Creating & modifying reports/dashboards in minutes.
▪ Easily combine data sets from different parts of the business on the fly.
8/30/2017
9
2- VISUALDATADISCOVERY
▪ Traditional tools like Excel present data in row & columns, filter data , then create a chart from
that sub-table. Sometimes use commands to build certain filtering.
▪ Easily create visual representations ofyour data with simpledrag and drop
▪ Ask question and getanswers using drag and drop
▪ Easy-to-use Interfaces
▪ Interactive Discovery and Collaboration
▪ Built-in Visual BestPractices
8/30/2017
10
3- CONNECTTO ANYDATA
▪ Works with raw data, excel sheets, text files, databases ….etc.
▪ Works with data of any size.
▪ Combine massive amounts of data from different systemsand all
parts of a business.
▪ Blend/Mix data togethereasily.
▪ No need for business users to worry about the sourceof data.
8/30/2017
11
4- REAL-TIME COLLABORATION
▪ Live interaction with data.
▪ Freshdata available any time and anywhere
▪ Filter, sort, discuss and transform data onthe fly.
▪ Modify and update dashboards immediately with simple
drag-and-drop interactions
▪ Simplesharing with dashboards in a web browser ormobile app.
8/30/2017
12
5- COMPREHENSIVEGOVERNANCE
▪ Full control over your data.
▪ Keepinga balance between security and accessibility.
▪ Everybody has access to the data with difference access levels.
▪ Providing accuratedata (upto date and from trusted sources).
▪ Data is available for all users based on his/her userlevel.
8/30/2017
13
No BI
▪ Traditional systems want to pilot analytics
projects with a handful of users, then scale
up overtime.
▪ Traditional systems aredifficult to quickly
scale up.
▪ Upon time, complicated to configure and
maintain.
BI
▪ BI tools allow you to start small and scale at
your ownpace.
▪ From one userwith onedata source 
10,000 users with several data sources.
8/30/2017
14
6- SCALABILITY
7- MOBILE
▪ View, interact and share analytics regardless of device type.
▪ Hallway conversations stand-up meetings, executive briefings and discussions with customers
and partners.
▪ Providedata any time, anywhere with any device.
▪ Optimized for Touch screendevices and mobiles.
8/30/2017
15
THE BOTTOM-LINE
▪ Models to the way you think, work, and act.
▪ Impact the business performanceand make better decisions.
▪ Remember seven key attributes of the modern BI
8/30/2017
16
8/30/2017
17
Thank you

More Related Content

What's hot

How Data is Driving AI Innovation
How Data is Driving AI InnovationHow Data is Driving AI Innovation
How Data is Driving AI InnovationMatt Turner
 
Information & Data Architecture
Information & Data ArchitectureInformation & Data Architecture
Information & Data ArchitectureSammer Qader
 
Building Rules for Data Governance
Building Rules for Data GovernanceBuilding Rules for Data Governance
Building Rules for Data GovernancePrecisely
 
United Technologies, Hands On Reference Data Management For Corporate Finance...
United Technologies, Hands On Reference Data Management For Corporate Finance...United Technologies, Hands On Reference Data Management For Corporate Finance...
United Technologies, Hands On Reference Data Management For Corporate Finance...Orchestra Networks
 
3 Steps to Achieving Data
3 Steps to Achieving Data3 Steps to Achieving Data
3 Steps to Achieving DataDATAVERSITY
 
The Economic Value of Data: A New Revenue Stream for Global Custodians
The Economic Value of Data: A New Revenue Stream for Global CustodiansThe Economic Value of Data: A New Revenue Stream for Global Custodians
The Economic Value of Data: A New Revenue Stream for Global CustodiansCognizant
 
Evtm 281 07_bi2015_infographic_r2h
Evtm 281 07_bi2015_infographic_r2hEvtm 281 07_bi2015_infographic_r2h
Evtm 281 07_bi2015_infographic_r2hNadia Smith
 
DataStreams : Corporate Overview
DataStreams : Corporate OverviewDataStreams : Corporate Overview
DataStreams : Corporate OverviewDataStreams
 
Economics of Utility Computing
Economics of Utility ComputingEconomics of Utility Computing
Economics of Utility ComputingAlan McSweeney
 
Closing the Governance Gap - Enabling Governed Self-Service Analytics
Closing the Governance Gap  - Enabling Governed Self-Service AnalyticsClosing the Governance Gap  - Enabling Governed Self-Service Analytics
Closing the Governance Gap - Enabling Governed Self-Service AnalyticsPrivacera
 
Master Data Governance Best Practices
Master Data Governance Best PracticesMaster Data Governance Best Practices
Master Data Governance Best PracticesBoris Otto
 
Crowdsourcing Data Governance
Crowdsourcing Data GovernanceCrowdsourcing Data Governance
Crowdsourcing Data GovernancePaul Boal
 
Analyst Keynote: Forrester: Data Fabric Strategy is Vital for Business Innova...
Analyst Keynote: Forrester: Data Fabric Strategy is Vital for Business Innova...Analyst Keynote: Forrester: Data Fabric Strategy is Vital for Business Innova...
Analyst Keynote: Forrester: Data Fabric Strategy is Vital for Business Innova...Denodo
 
Battle the Dark Side of Data Governance
Battle the Dark Side of Data GovernanceBattle the Dark Side of Data Governance
Battle the Dark Side of Data GovernanceDATAVERSITY
 
Slides: Empowering Data Consumers to Deliver Business Value
Slides: Empowering Data Consumers to Deliver Business ValueSlides: Empowering Data Consumers to Deliver Business Value
Slides: Empowering Data Consumers to Deliver Business ValueDATAVERSITY
 
Information architecture overview
Information architecture overviewInformation architecture overview
Information architecture overviewJames M. Dey
 
A technical Introduction to Big Data Analytics
A technical Introduction to Big Data AnalyticsA technical Introduction to Big Data Analytics
A technical Introduction to Big Data AnalyticsPethuru Raj PhD
 
Building Confidence in Big Data - IBM Smarter Business 2013
Building Confidence in Big Data - IBM Smarter Business 2013 Building Confidence in Big Data - IBM Smarter Business 2013
Building Confidence in Big Data - IBM Smarter Business 2013 IBM Sverige
 

What's hot (20)

How Data is Driving AI Innovation
How Data is Driving AI InnovationHow Data is Driving AI Innovation
How Data is Driving AI Innovation
 
Information & Data Architecture
Information & Data ArchitectureInformation & Data Architecture
Information & Data Architecture
 
Building Rules for Data Governance
Building Rules for Data GovernanceBuilding Rules for Data Governance
Building Rules for Data Governance
 
United Technologies, Hands On Reference Data Management For Corporate Finance...
United Technologies, Hands On Reference Data Management For Corporate Finance...United Technologies, Hands On Reference Data Management For Corporate Finance...
United Technologies, Hands On Reference Data Management For Corporate Finance...
 
3 Steps to Achieving Data
3 Steps to Achieving Data3 Steps to Achieving Data
3 Steps to Achieving Data
 
The Economic Value of Data: A New Revenue Stream for Global Custodians
The Economic Value of Data: A New Revenue Stream for Global CustodiansThe Economic Value of Data: A New Revenue Stream for Global Custodians
The Economic Value of Data: A New Revenue Stream for Global Custodians
 
Evtm 281 07_bi2015_infographic_r2h
Evtm 281 07_bi2015_infographic_r2hEvtm 281 07_bi2015_infographic_r2h
Evtm 281 07_bi2015_infographic_r2h
 
DataStreams : Corporate Overview
DataStreams : Corporate OverviewDataStreams : Corporate Overview
DataStreams : Corporate Overview
 
Big data and analytics
Big data and analyticsBig data and analytics
Big data and analytics
 
Economics of Utility Computing
Economics of Utility ComputingEconomics of Utility Computing
Economics of Utility Computing
 
Closing the Governance Gap - Enabling Governed Self-Service Analytics
Closing the Governance Gap  - Enabling Governed Self-Service AnalyticsClosing the Governance Gap  - Enabling Governed Self-Service Analytics
Closing the Governance Gap - Enabling Governed Self-Service Analytics
 
Master Data Governance Best Practices
Master Data Governance Best PracticesMaster Data Governance Best Practices
Master Data Governance Best Practices
 
Crowdsourcing Data Governance
Crowdsourcing Data GovernanceCrowdsourcing Data Governance
Crowdsourcing Data Governance
 
Analyst Keynote: Forrester: Data Fabric Strategy is Vital for Business Innova...
Analyst Keynote: Forrester: Data Fabric Strategy is Vital for Business Innova...Analyst Keynote: Forrester: Data Fabric Strategy is Vital for Business Innova...
Analyst Keynote: Forrester: Data Fabric Strategy is Vital for Business Innova...
 
Battle the Dark Side of Data Governance
Battle the Dark Side of Data GovernanceBattle the Dark Side of Data Governance
Battle the Dark Side of Data Governance
 
Big Data Forum - Phoenix
Big Data Forum - PhoenixBig Data Forum - Phoenix
Big Data Forum - Phoenix
 
Slides: Empowering Data Consumers to Deliver Business Value
Slides: Empowering Data Consumers to Deliver Business ValueSlides: Empowering Data Consumers to Deliver Business Value
Slides: Empowering Data Consumers to Deliver Business Value
 
Information architecture overview
Information architecture overviewInformation architecture overview
Information architecture overview
 
A technical Introduction to Big Data Analytics
A technical Introduction to Big Data AnalyticsA technical Introduction to Big Data Analytics
A technical Introduction to Big Data Analytics
 
Building Confidence in Big Data - IBM Smarter Business 2013
Building Confidence in Big Data - IBM Smarter Business 2013 Building Confidence in Big Data - IBM Smarter Business 2013
Building Confidence in Big Data - IBM Smarter Business 2013
 

Similar to The Right Approach to Business Intelligence

Business Intelligence Meets Big Data Variety
Business Intelligence Meets Big Data VarietyBusiness Intelligence Meets Big Data Variety
Business Intelligence Meets Big Data Varietywww.panorama.com
 
Data_Harmonization_ClearStory
Data_Harmonization_ClearStoryData_Harmonization_ClearStory
Data_Harmonization_ClearStoryWilliam Davis
 
Business Intelligence top ten trends white paper-final
Business Intelligence top ten trends white paper-finalBusiness Intelligence top ten trends white paper-final
Business Intelligence top ten trends white paper-finalCGI
 
Data Virtualization - Enabling Next Generation Analytics
Data Virtualization - Enabling Next Generation AnalyticsData Virtualization - Enabling Next Generation Analytics
Data Virtualization - Enabling Next Generation AnalyticsDenodo
 
Latest trends in Business Analytics
Latest trends in Business AnalyticsLatest trends in Business Analytics
Latest trends in Business AnalyticsPuneet Bhalla
 
Module 1 the power of data
Module 1 the power of dataModule 1 the power of data
Module 1 the power of datacaniceconsulting
 
Keysto effectivedatavisualization fsfp
Keysto effectivedatavisualization fsfpKeysto effectivedatavisualization fsfp
Keysto effectivedatavisualization fsfpDATAVERSITY
 
Introduction to Data Science
Introduction to Data ScienceIntroduction to Data Science
Introduction to Data ScienceANOOP V S
 
What is Big Data? - Business Plans
What is Big Data? - Business PlansWhat is Big Data? - Business Plans
What is Big Data? - Business PlansOur Business Ladder
 
20 Emerging influencers in 2020 for big data
20 Emerging influencers in 2020 for big data20 Emerging influencers in 2020 for big data
20 Emerging influencers in 2020 for big dataRiver11river
 
Ab cs of big data
Ab cs of big dataAb cs of big data
Ab cs of big dataDigimark
 
Data-driven leadership culture
Data-driven leadership cultureData-driven leadership culture
Data-driven leadership cultureJuuso Parkkinen
 
Cognos BI Training Orientation
Cognos BI Training Orientation Cognos BI Training Orientation
Cognos BI Training Orientation Sujit Ghosh
 
What's the Big Deal About Big Data?
What's the Big Deal About Big Data?What's the Big Deal About Big Data?
What's the Big Deal About Big Data?Logi Analytics
 
Business analytics tool power bi
Business analytics tool power biBusiness analytics tool power bi
Business analytics tool power bilogesys
 

Similar to The Right Approach to Business Intelligence (20)

PART 1.docx
PART 1.docxPART 1.docx
PART 1.docx
 
Big data
Big dataBig data
Big data
 
Business Intelligence Meets Big Data Variety
Business Intelligence Meets Big Data VarietyBusiness Intelligence Meets Big Data Variety
Business Intelligence Meets Big Data Variety
 
Rapid-fire BI
Rapid-fire BIRapid-fire BI
Rapid-fire BI
 
Data_Harmonization_ClearStory
Data_Harmonization_ClearStoryData_Harmonization_ClearStory
Data_Harmonization_ClearStory
 
Visual Data Mining
Visual Data MiningVisual Data Mining
Visual Data Mining
 
Business Intelligence top ten trends white paper-final
Business Intelligence top ten trends white paper-finalBusiness Intelligence top ten trends white paper-final
Business Intelligence top ten trends white paper-final
 
Visual Data Mining
Visual Data MiningVisual Data Mining
Visual Data Mining
 
Data Virtualization - Enabling Next Generation Analytics
Data Virtualization - Enabling Next Generation AnalyticsData Virtualization - Enabling Next Generation Analytics
Data Virtualization - Enabling Next Generation Analytics
 
Latest trends in Business Analytics
Latest trends in Business AnalyticsLatest trends in Business Analytics
Latest trends in Business Analytics
 
Module 1 the power of data
Module 1 the power of dataModule 1 the power of data
Module 1 the power of data
 
Keysto effectivedatavisualization fsfp
Keysto effectivedatavisualization fsfpKeysto effectivedatavisualization fsfp
Keysto effectivedatavisualization fsfp
 
Introduction to Data Science
Introduction to Data ScienceIntroduction to Data Science
Introduction to Data Science
 
What is Big Data? - Business Plans
What is Big Data? - Business PlansWhat is Big Data? - Business Plans
What is Big Data? - Business Plans
 
20 Emerging influencers in 2020 for big data
20 Emerging influencers in 2020 for big data20 Emerging influencers in 2020 for big data
20 Emerging influencers in 2020 for big data
 
Ab cs of big data
Ab cs of big dataAb cs of big data
Ab cs of big data
 
Data-driven leadership culture
Data-driven leadership cultureData-driven leadership culture
Data-driven leadership culture
 
Cognos BI Training Orientation
Cognos BI Training Orientation Cognos BI Training Orientation
Cognos BI Training Orientation
 
What's the Big Deal About Big Data?
What's the Big Deal About Big Data?What's the Big Deal About Big Data?
What's the Big Deal About Big Data?
 
Business analytics tool power bi
Business analytics tool power biBusiness analytics tool power bi
Business analytics tool power bi
 

Recently uploaded

Human Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR SystemsHuman Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR SystemsMark Billinghurst
 
SQL Database Design For Developers at php[tek] 2024
SQL Database Design For Developers at php[tek] 2024SQL Database Design For Developers at php[tek] 2024
SQL Database Design For Developers at php[tek] 2024Scott Keck-Warren
 
Advanced Test Driven-Development @ php[tek] 2024
Advanced Test Driven-Development @ php[tek] 2024Advanced Test Driven-Development @ php[tek] 2024
Advanced Test Driven-Development @ php[tek] 2024Scott Keck-Warren
 
Unblocking The Main Thread Solving ANRs and Frozen Frames
Unblocking The Main Thread Solving ANRs and Frozen FramesUnblocking The Main Thread Solving ANRs and Frozen Frames
Unblocking The Main Thread Solving ANRs and Frozen FramesSinan KOZAK
 
Presentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreterPresentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreternaman860154
 
SIEMENS: RAPUNZEL – A Tale About Knowledge Graph
SIEMENS: RAPUNZEL – A Tale About Knowledge GraphSIEMENS: RAPUNZEL – A Tale About Knowledge Graph
SIEMENS: RAPUNZEL – A Tale About Knowledge GraphNeo4j
 
Pigging Solutions in Pet Food Manufacturing
Pigging Solutions in Pet Food ManufacturingPigging Solutions in Pet Food Manufacturing
Pigging Solutions in Pet Food ManufacturingPigging Solutions
 
Understanding the Laravel MVC Architecture
Understanding the Laravel MVC ArchitectureUnderstanding the Laravel MVC Architecture
Understanding the Laravel MVC ArchitecturePixlogix Infotech
 
Artificial intelligence in the post-deep learning era
Artificial intelligence in the post-deep learning eraArtificial intelligence in the post-deep learning era
Artificial intelligence in the post-deep learning eraDeakin University
 
#StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
#StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024#StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
#StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024BookNet Canada
 
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...shyamraj55
 
Maximizing Board Effectiveness 2024 Webinar.pptx
Maximizing Board Effectiveness 2024 Webinar.pptxMaximizing Board Effectiveness 2024 Webinar.pptx
Maximizing Board Effectiveness 2024 Webinar.pptxOnBoard
 
Designing IA for AI - Information Architecture Conference 2024
Designing IA for AI - Information Architecture Conference 2024Designing IA for AI - Information Architecture Conference 2024
Designing IA for AI - Information Architecture Conference 2024Enterprise Knowledge
 
Swan(sea) Song – personal research during my six years at Swansea ... and bey...
Swan(sea) Song – personal research during my six years at Swansea ... and bey...Swan(sea) Song – personal research during my six years at Swansea ... and bey...
Swan(sea) Song – personal research during my six years at Swansea ... and bey...Alan Dix
 
Breaking the Kubernetes Kill Chain: Host Path Mount
Breaking the Kubernetes Kill Chain: Host Path MountBreaking the Kubernetes Kill Chain: Host Path Mount
Breaking the Kubernetes Kill Chain: Host Path MountPuma Security, LLC
 
APIForce Zurich 5 April Automation LPDG
APIForce Zurich 5 April  Automation LPDGAPIForce Zurich 5 April  Automation LPDG
APIForce Zurich 5 April Automation LPDGMarianaLemus7
 
Key Features Of Token Development (1).pptx
Key  Features Of Token  Development (1).pptxKey  Features Of Token  Development (1).pptx
Key Features Of Token Development (1).pptxLBM Solutions
 
Unlocking the Potential of the Cloud for IBM Power Systems
Unlocking the Potential of the Cloud for IBM Power SystemsUnlocking the Potential of the Cloud for IBM Power Systems
Unlocking the Potential of the Cloud for IBM Power SystemsPrecisely
 
Enhancing Worker Digital Experience: A Hands-on Workshop for Partners
Enhancing Worker Digital Experience: A Hands-on Workshop for PartnersEnhancing Worker Digital Experience: A Hands-on Workshop for Partners
Enhancing Worker Digital Experience: A Hands-on Workshop for PartnersThousandEyes
 

Recently uploaded (20)

Human Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR SystemsHuman Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR Systems
 
SQL Database Design For Developers at php[tek] 2024
SQL Database Design For Developers at php[tek] 2024SQL Database Design For Developers at php[tek] 2024
SQL Database Design For Developers at php[tek] 2024
 
Advanced Test Driven-Development @ php[tek] 2024
Advanced Test Driven-Development @ php[tek] 2024Advanced Test Driven-Development @ php[tek] 2024
Advanced Test Driven-Development @ php[tek] 2024
 
Unblocking The Main Thread Solving ANRs and Frozen Frames
Unblocking The Main Thread Solving ANRs and Frozen FramesUnblocking The Main Thread Solving ANRs and Frozen Frames
Unblocking The Main Thread Solving ANRs and Frozen Frames
 
Presentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreterPresentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreter
 
SIEMENS: RAPUNZEL – A Tale About Knowledge Graph
SIEMENS: RAPUNZEL – A Tale About Knowledge GraphSIEMENS: RAPUNZEL – A Tale About Knowledge Graph
SIEMENS: RAPUNZEL – A Tale About Knowledge Graph
 
Pigging Solutions in Pet Food Manufacturing
Pigging Solutions in Pet Food ManufacturingPigging Solutions in Pet Food Manufacturing
Pigging Solutions in Pet Food Manufacturing
 
Understanding the Laravel MVC Architecture
Understanding the Laravel MVC ArchitectureUnderstanding the Laravel MVC Architecture
Understanding the Laravel MVC Architecture
 
Artificial intelligence in the post-deep learning era
Artificial intelligence in the post-deep learning eraArtificial intelligence in the post-deep learning era
Artificial intelligence in the post-deep learning era
 
#StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
#StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024#StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
#StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
 
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...
 
Maximizing Board Effectiveness 2024 Webinar.pptx
Maximizing Board Effectiveness 2024 Webinar.pptxMaximizing Board Effectiveness 2024 Webinar.pptx
Maximizing Board Effectiveness 2024 Webinar.pptx
 
Designing IA for AI - Information Architecture Conference 2024
Designing IA for AI - Information Architecture Conference 2024Designing IA for AI - Information Architecture Conference 2024
Designing IA for AI - Information Architecture Conference 2024
 
The transition to renewables in India.pdf
The transition to renewables in India.pdfThe transition to renewables in India.pdf
The transition to renewables in India.pdf
 
Swan(sea) Song – personal research during my six years at Swansea ... and bey...
Swan(sea) Song – personal research during my six years at Swansea ... and bey...Swan(sea) Song – personal research during my six years at Swansea ... and bey...
Swan(sea) Song – personal research during my six years at Swansea ... and bey...
 
Breaking the Kubernetes Kill Chain: Host Path Mount
Breaking the Kubernetes Kill Chain: Host Path MountBreaking the Kubernetes Kill Chain: Host Path Mount
Breaking the Kubernetes Kill Chain: Host Path Mount
 
APIForce Zurich 5 April Automation LPDG
APIForce Zurich 5 April  Automation LPDGAPIForce Zurich 5 April  Automation LPDG
APIForce Zurich 5 April Automation LPDG
 
Key Features Of Token Development (1).pptx
Key  Features Of Token  Development (1).pptxKey  Features Of Token  Development (1).pptx
Key Features Of Token Development (1).pptx
 
Unlocking the Potential of the Cloud for IBM Power Systems
Unlocking the Potential of the Cloud for IBM Power SystemsUnlocking the Potential of the Cloud for IBM Power Systems
Unlocking the Potential of the Cloud for IBM Power Systems
 
Enhancing Worker Digital Experience: A Hands-on Workshop for Partners
Enhancing Worker Digital Experience: A Hands-on Workshop for PartnersEnhancing Worker Digital Experience: A Hands-on Workshop for Partners
Enhancing Worker Digital Experience: A Hands-on Workshop for Partners
 

The Right Approach to Business Intelligence

  • 1. THE RIGHT APPROACHTO BUSINESSINTELLIGENCE Bayar Shahab- IT Specialist Darin Group
  • 2. OUTLINE ֍What isBI (BusinessIntelligence) ֍HowBIcan answer ourbusinessneeds? ֍Speed ֍VisualData Discovery ֍ConnecttoAnyData ֍Real-timeCollaboration ֍ComprehensiveGovernance ֍Scalability ֍Mobile 2 8/30/2017
  • 3. WHATIS BI(BUSINESSINTELLIGENCE)?  Gathering, storing, analyzing and sharing data to help business users make better decisions OR Simply  Getting the right information, to the right decision makers, at the right time. 3 8/30/2017
  • 4. BI IS DESIGNEDTO ENABLE MANAGERSTOMAKERIGHT DECISIONS&ANSWER 8/30/2017 4 What do Iwant to happen? What-if? What will happen? Why did it happen? What is happening? What happened? ERP CRM ExcelDatabase Acco. Future Past Present Data Analysis & Decision Presentation
  • 5. EXAMPLE Marketing If Inventory Levels Drop by 10% will Customers Shop else where Production HowMany Products Sold Dueto TV Ads Last Month Finance Howmany investors willmake %10 revenue for the company Sales WhichCustomer Demographic is Performing Bestfor Product A5 BI
  • 6. BIBALANCEDILEMMA 8/30/2017 6 Time Making Right BusinessDecisions is a Balance Data Opinion Business IntelligenceSolutions
  • 7. TYPESOF USERS • Users have the ability to view static information online and/or print to a local printer.Executives • Ability to refresh report information and the ability to enter desired information parameters for the purposes of performing high-level research and analysis. Casual Users • In addition tothe privileges of a casual user, functional users have the ability to develop their own ad hoc queries and perform OLAP analysis.Functional Users • They have full privileges to explore and analyze the data with the BI applications availabletothem.Super Users 8/30/2017 7
  • 8. SEVENKEY ATTRIBUTESOF BUSINESS INTELLIGENCE(TABLEAU.COM)*  Speed  Visual Data Discovery  Connect to Any Data  Real-time Collaboration  Comprehensive Governance  Scalability  Mobile 8/30/2017 8
  • 9. 1- SPEED ▪ Access, analyses, share andmake decision in a matter of hours. ▪ Creating & modifying reports/dashboards in minutes. ▪ Easily combine data sets from different parts of the business on the fly. 8/30/2017 9
  • 10. 2- VISUALDATADISCOVERY ▪ Traditional tools like Excel present data in row & columns, filter data , then create a chart from that sub-table. Sometimes use commands to build certain filtering. ▪ Easily create visual representations ofyour data with simpledrag and drop ▪ Ask question and getanswers using drag and drop ▪ Easy-to-use Interfaces ▪ Interactive Discovery and Collaboration ▪ Built-in Visual BestPractices 8/30/2017 10
  • 11. 3- CONNECTTO ANYDATA ▪ Works with raw data, excel sheets, text files, databases ….etc. ▪ Works with data of any size. ▪ Combine massive amounts of data from different systemsand all parts of a business. ▪ Blend/Mix data togethereasily. ▪ No need for business users to worry about the sourceof data. 8/30/2017 11
  • 12. 4- REAL-TIME COLLABORATION ▪ Live interaction with data. ▪ Freshdata available any time and anywhere ▪ Filter, sort, discuss and transform data onthe fly. ▪ Modify and update dashboards immediately with simple drag-and-drop interactions ▪ Simplesharing with dashboards in a web browser ormobile app. 8/30/2017 12
  • 13. 5- COMPREHENSIVEGOVERNANCE ▪ Full control over your data. ▪ Keepinga balance between security and accessibility. ▪ Everybody has access to the data with difference access levels. ▪ Providing accuratedata (upto date and from trusted sources). ▪ Data is available for all users based on his/her userlevel. 8/30/2017 13
  • 14. No BI ▪ Traditional systems want to pilot analytics projects with a handful of users, then scale up overtime. ▪ Traditional systems aredifficult to quickly scale up. ▪ Upon time, complicated to configure and maintain. BI ▪ BI tools allow you to start small and scale at your ownpace. ▪ From one userwith onedata source  10,000 users with several data sources. 8/30/2017 14 6- SCALABILITY
  • 15. 7- MOBILE ▪ View, interact and share analytics regardless of device type. ▪ Hallway conversations stand-up meetings, executive briefings and discussions with customers and partners. ▪ Providedata any time, anywhere with any device. ▪ Optimized for Touch screendevices and mobiles. 8/30/2017 15
  • 16. THE BOTTOM-LINE ▪ Models to the way you think, work, and act. ▪ Impact the business performanceand make better decisions. ▪ Remember seven key attributes of the modern BI 8/30/2017 16

Editor's Notes

  1. Before starting, I want to highlight the main purpose of this session which is to change our mindset regarding the concept of the BI and to look at the modern approach of the BI solution and that should change our expectations and vision toward the BI.
  2. `
  3. - For field technicians proving dashboards with likelihoods of the tower fault so that they make better decisions and faster.