SlideShare uma empresa Scribd logo
1 de 20
Nic Smith BI Solutions Marketing Microsoft Corporation
 
Executives Managers End-users USERS OBJECTIVES Tactical Strategic Business Scorecard Operational Analysis Embedded Guidance Analytic Needs Differ by Role and Objective
When Do I Need Analytics? Key Indicators ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Helps each organization to achieve their objectives MARKETING SALES SERVICE
[object Object],[object Object],[object Object],[object Object],Full spectrum of business intelligence capabilities ranging including Excel, performance dashboards, ad hoc reporting, OLAP, predictive modeling, and data mining.
[object Object],[object Object],[object Object],[object Object],Full spectrum of business intelligence capabilities ranging including Excel, performance dashboards, ad hoc reporting, OLAP, predictive modeling, and data mining.
[object Object],[object Object],[object Object],[object Object],Full spectrum of business intelligence capabilities ranging including Excel, performance dashboards, ad hoc reporting, OLAP, predictive modeling, and data mining.
More  Agility More  Customer Loyalty Empower employees  with customer metrics that guide employees to make decisions that will help  build customer trust . More  Revenue Prioritize marketing and sales initiatives in those that show the  greatest return on investment. More Productivity Strategically align all customer-facing operations and empower employees from the top down to  quickly adjust to changing environments . Eliminate learning curve issues while realizing  fast adoption rates  by delivering familiar applications that work the way your employees work.
 
 
 
 
 
“ ” The true value of Microsoft Dynamics is about how successful the tool can make employees in their jobs.” Greg Lush, Chief Information Officer, The Linc Group Microsoft Dynamics enables multinational service provider to optimize customer relationship management, and increase sales. ,[object Object]
The Magic Quadrant is copyrighted February, 2008 by Gartner, Inc. and is reused with permission. The Magic Quadrant is a graphical representation of a marketplace at and for a specific time period. It depicts Gartner’s analysis of how certain vendors measure against criteria for that marketplace, as defined by Gartner. Gartner does not endorse any vendor, product or service depicted in the Magic Quadrant, and does not advise technology users to select only those vendors placed in the “Leaders” quadrant. The Magic Quadrant is intended solely as a research tool, and is not meant to be a specific guide to action. Gartner disclaims all warranties, express or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.  Gartner, Inc. “Gartner Magic Quadrant for Business Intelligence Platforms, 2008,” James Richardson et al., Feb. 1, 2008
 
Mainframe/ Departmental Systems  END USER TOOLS AND PERFORMANCE MANAGEMENT APPLICATIONS BI PLATFORM (RDBMS, ETL, OLAP, Reporting) DELIVERY
What happened? Reporting, Consolidation What is happening? Scorecards  and Dashboards Why did it happen? Analytics What will happen? Forecasting What do I want to happen? Planning, Budgeting
Microsoft Business Intelligence Vision and strategy ,[object Object],[object Object],[object Object]

Mais conteúdo relacionado

Mais procurados

Death of the Dashboard
Death of the DashboardDeath of the Dashboard
Death of the DashboardDATAVERSITY
 
The Evolving Role of the Data Architect – What Does It Mean for Your Career?
The Evolving Role of the Data Architect – What Does It Mean for Your Career?The Evolving Role of the Data Architect – What Does It Mean for Your Career?
The Evolving Role of the Data Architect – What Does It Mean for Your Career?DATAVERSITY
 
ADV Slides: Building and Growing Organizational Analytics with Data Lakes
ADV Slides: Building and Growing Organizational Analytics with Data LakesADV Slides: Building and Growing Organizational Analytics with Data Lakes
ADV Slides: Building and Growing Organizational Analytics with Data LakesDATAVERSITY
 
Building a Data Strategy – Practical Steps for Aligning with Business Goals
Building a Data Strategy – Practical Steps for Aligning with Business GoalsBuilding a Data Strategy – Practical Steps for Aligning with Business Goals
Building a Data Strategy – Practical Steps for Aligning with Business GoalsDATAVERSITY
 
RWDG Slides: Using Tools to Advance Your Data Governance Program
RWDG Slides: Using Tools to Advance Your Data Governance ProgramRWDG Slides: Using Tools to Advance Your Data Governance Program
RWDG Slides: Using Tools to Advance Your Data Governance ProgramDATAVERSITY
 
Data strategy - How & When to Invest (SXSW V2V Core Conversation)
Data strategy - How & When to Invest (SXSW V2V Core Conversation)Data strategy - How & When to Invest (SXSW V2V Core Conversation)
Data strategy - How & When to Invest (SXSW V2V Core Conversation)Courtney Hemphill
 
DAS Slides: Data Modeling at the Environment Agency of England – Case Study
DAS Slides: Data Modeling at the Environment Agency of England – Case StudyDAS Slides: Data Modeling at the Environment Agency of England – Case Study
DAS Slides: Data Modeling at the Environment Agency of England – Case StudyDATAVERSITY
 
Data management trends
Data management trendsData management trends
Data management trendsVivek Mohan
 
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
 
DAS Slides: Data Virtualization – Separating Myth from Reality
DAS Slides: Data Virtualization – Separating Myth from RealityDAS Slides: Data Virtualization – Separating Myth from Reality
DAS Slides: Data Virtualization – Separating Myth from RealityDATAVERSITY
 
Next generation Data Governance
Next generation Data GovernanceNext generation Data Governance
Next generation Data GovernanceVladimiro Borsi
 
Top 7 Capabilities for Next-Gen Master Data Management
Top 7 Capabilities for Next-Gen Master Data ManagementTop 7 Capabilities for Next-Gen Master Data Management
Top 7 Capabilities for Next-Gen Master Data ManagementDATAVERSITY
 
Data Modeling Techniques
Data Modeling TechniquesData Modeling Techniques
Data Modeling TechniquesDATAVERSITY
 
NTXISSACSC3 - Why Enterprise Information Management is the Key to GRC by Mika...
NTXISSACSC3 - Why Enterprise Information Management is the Key to GRC by Mika...NTXISSACSC3 - Why Enterprise Information Management is the Key to GRC by Mika...
NTXISSACSC3 - Why Enterprise Information Management is the Key to GRC by Mika...North Texas Chapter of the ISSA
 
Data Architecture Strategies: Building an Enterprise Data Strategy – Where to...
Data Architecture Strategies: Building an Enterprise Data Strategy – Where to...Data Architecture Strategies: Building an Enterprise Data Strategy – Where to...
Data Architecture Strategies: Building an Enterprise Data Strategy – Where to...DATAVERSITY
 
Data Strategy for Telcos : Preparedness and Management
Data Strategy for Telcos : Preparedness and ManagementData Strategy for Telcos : Preparedness and Management
Data Strategy for Telcos : Preparedness and ManagementSouravRout
 
Modern Metadata Strategies
Modern Metadata StrategiesModern Metadata Strategies
Modern Metadata StrategiesDATAVERSITY
 
Data-Centric Analytics and Understanding the Full Data Supply Chain
Data-Centric Analytics and Understanding the Full Data Supply ChainData-Centric Analytics and Understanding the Full Data Supply Chain
Data-Centric Analytics and Understanding the Full Data Supply ChainDATAVERSITY
 
Product innovation journey
Product innovation journeyProduct innovation journey
Product innovation journeySoumik Ganguly
 

Mais procurados (20)

Death of the Dashboard
Death of the DashboardDeath of the Dashboard
Death of the Dashboard
 
The Evolving Role of the Data Architect – What Does It Mean for Your Career?
The Evolving Role of the Data Architect – What Does It Mean for Your Career?The Evolving Role of the Data Architect – What Does It Mean for Your Career?
The Evolving Role of the Data Architect – What Does It Mean for Your Career?
 
ADV Slides: Building and Growing Organizational Analytics with Data Lakes
ADV Slides: Building and Growing Organizational Analytics with Data LakesADV Slides: Building and Growing Organizational Analytics with Data Lakes
ADV Slides: Building and Growing Organizational Analytics with Data Lakes
 
Building a Data Strategy – Practical Steps for Aligning with Business Goals
Building a Data Strategy – Practical Steps for Aligning with Business GoalsBuilding a Data Strategy – Practical Steps for Aligning with Business Goals
Building a Data Strategy – Practical Steps for Aligning with Business Goals
 
RWDG Slides: Using Tools to Advance Your Data Governance Program
RWDG Slides: Using Tools to Advance Your Data Governance ProgramRWDG Slides: Using Tools to Advance Your Data Governance Program
RWDG Slides: Using Tools to Advance Your Data Governance Program
 
Data strategy - How & When to Invest (SXSW V2V Core Conversation)
Data strategy - How & When to Invest (SXSW V2V Core Conversation)Data strategy - How & When to Invest (SXSW V2V Core Conversation)
Data strategy - How & When to Invest (SXSW V2V Core Conversation)
 
DAS Slides: Data Modeling at the Environment Agency of England – Case Study
DAS Slides: Data Modeling at the Environment Agency of England – Case StudyDAS Slides: Data Modeling at the Environment Agency of England – Case Study
DAS Slides: Data Modeling at the Environment Agency of England – Case Study
 
Data management trends
Data management trendsData management trends
Data management trends
 
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
 
DAS Slides: Data Virtualization – Separating Myth from Reality
DAS Slides: Data Virtualization – Separating Myth from RealityDAS Slides: Data Virtualization – Separating Myth from Reality
DAS Slides: Data Virtualization – Separating Myth from Reality
 
Next generation Data Governance
Next generation Data GovernanceNext generation Data Governance
Next generation Data Governance
 
Top 7 Capabilities for Next-Gen Master Data Management
Top 7 Capabilities for Next-Gen Master Data ManagementTop 7 Capabilities for Next-Gen Master Data Management
Top 7 Capabilities for Next-Gen Master Data Management
 
Data Modeling Techniques
Data Modeling TechniquesData Modeling Techniques
Data Modeling Techniques
 
NTXISSACSC3 - Why Enterprise Information Management is the Key to GRC by Mika...
NTXISSACSC3 - Why Enterprise Information Management is the Key to GRC by Mika...NTXISSACSC3 - Why Enterprise Information Management is the Key to GRC by Mika...
NTXISSACSC3 - Why Enterprise Information Management is the Key to GRC by Mika...
 
Data Architecture Strategies: Building an Enterprise Data Strategy – Where to...
Data Architecture Strategies: Building an Enterprise Data Strategy – Where to...Data Architecture Strategies: Building an Enterprise Data Strategy – Where to...
Data Architecture Strategies: Building an Enterprise Data Strategy – Where to...
 
Data Strategy for Telcos : Preparedness and Management
Data Strategy for Telcos : Preparedness and ManagementData Strategy for Telcos : Preparedness and Management
Data Strategy for Telcos : Preparedness and Management
 
Modern Metadata Strategies
Modern Metadata StrategiesModern Metadata Strategies
Modern Metadata Strategies
 
Data-Centric Analytics and Understanding the Full Data Supply Chain
Data-Centric Analytics and Understanding the Full Data Supply ChainData-Centric Analytics and Understanding the Full Data Supply Chain
Data-Centric Analytics and Understanding the Full Data Supply Chain
 
Product innovation journey
Product innovation journeyProduct innovation journey
Product innovation journey
 
What is a data safe haven?
What is a data safe haven?What is a data safe haven?
What is a data safe haven?
 

Semelhante a Microsoft Crm Analytics

Revenue Operations Analytics: A Strategic Blueprint
Revenue Operations Analytics: A Strategic BlueprintRevenue Operations Analytics: A Strategic Blueprint
Revenue Operations Analytics: A Strategic BlueprintKwanzoo Inc
 
Driving Business Performance with Microsoft Performance Management
Driving Business Performance with Microsoft Performance ManagementDriving Business Performance with Microsoft Performance Management
Driving Business Performance with Microsoft Performance ManagementNic Smith
 
Business Intelligence Challenges 2009
Business Intelligence Challenges 2009Business Intelligence Challenges 2009
Business Intelligence Challenges 2009Lonnell Branch
 
DF16 - Analytics
DF16 - AnalyticsDF16 - Analytics
DF16 - AnalyticsIsaac Payne
 
What's So Great About Embedded Analytics?
What's So Great About Embedded Analytics?What's So Great About Embedded Analytics?
What's So Great About Embedded Analytics?GoodData
 
Sage Business Intelligence Solutions Comparison
Sage Business Intelligence Solutions ComparisonSage Business Intelligence Solutions Comparison
Sage Business Intelligence Solutions ComparisonRKLeSolutions
 
How Can Business Analytics Dashboard Help Data Analysts.pdf
How Can Business Analytics Dashboard Help Data Analysts.pdfHow Can Business Analytics Dashboard Help Data Analysts.pdf
How Can Business Analytics Dashboard Help Data Analysts.pdfGrow
 
Introducing Analytics Mash-ups
Introducing Analytics Mash-upsIntroducing Analytics Mash-ups
Introducing Analytics Mash-upsdreamforce2006
 
Overview of Operations
Overview of OperationsOverview of Operations
Overview of OperationsGlenture
 
Bi in telecom through kpi’s
Bi in telecom through kpi’sBi in telecom through kpi’s
Bi in telecom through kpi’sSai Venkatesh
 
Operationalizing Customer Analytics with Azure and Power BI
Operationalizing Customer Analytics with Azure and Power BIOperationalizing Customer Analytics with Azure and Power BI
Operationalizing Customer Analytics with Azure and Power BICCG
 
Marketing planning and performance measurement solution business case
Marketing planning and performance measurement solution business caseMarketing planning and performance measurement solution business case
Marketing planning and performance measurement solution business caseNandita Nityanandam
 
Transform Data into Action
Transform Data into ActionTransform Data into Action
Transform Data into ActionWorkday, Inc.
 
Data Mining Services in various types
Data Mining Services in various typesData Mining Services in various types
Data Mining Services in various typesloginworks software
 

Semelhante a Microsoft Crm Analytics (20)

Analytics
Analytics Analytics
Analytics
 
Revenue Operations Analytics: A Strategic Blueprint
Revenue Operations Analytics: A Strategic BlueprintRevenue Operations Analytics: A Strategic Blueprint
Revenue Operations Analytics: A Strategic Blueprint
 
Driving Business Performance with Microsoft Performance Management
Driving Business Performance with Microsoft Performance ManagementDriving Business Performance with Microsoft Performance Management
Driving Business Performance with Microsoft Performance Management
 
Business Intelligence Challenges 2009
Business Intelligence Challenges 2009Business Intelligence Challenges 2009
Business Intelligence Challenges 2009
 
Bi analytics short
Bi analytics shortBi analytics short
Bi analytics short
 
Business analytics
Business analyticsBusiness analytics
Business analytics
 
Introduction to Business Anlytics and Strategic Landscape
Introduction to Business Anlytics and Strategic LandscapeIntroduction to Business Anlytics and Strategic Landscape
Introduction to Business Anlytics and Strategic Landscape
 
DF16 - Analytics
DF16 - AnalyticsDF16 - Analytics
DF16 - Analytics
 
What's So Great About Embedded Analytics?
What's So Great About Embedded Analytics?What's So Great About Embedded Analytics?
What's So Great About Embedded Analytics?
 
bi
bibi
bi
 
Sage Business Intelligence Solutions Comparison
Sage Business Intelligence Solutions ComparisonSage Business Intelligence Solutions Comparison
Sage Business Intelligence Solutions Comparison
 
How Can Business Analytics Dashboard Help Data Analysts.pdf
How Can Business Analytics Dashboard Help Data Analysts.pdfHow Can Business Analytics Dashboard Help Data Analysts.pdf
How Can Business Analytics Dashboard Help Data Analysts.pdf
 
Introducing Analytics Mash-ups
Introducing Analytics Mash-upsIntroducing Analytics Mash-ups
Introducing Analytics Mash-ups
 
Overview of Operations
Overview of OperationsOverview of Operations
Overview of Operations
 
Bi in telecom through kpi’s
Bi in telecom through kpi’sBi in telecom through kpi’s
Bi in telecom through kpi’s
 
Mli 2017 business mbi
Mli 2017 business mbiMli 2017 business mbi
Mli 2017 business mbi
 
Operationalizing Customer Analytics with Azure and Power BI
Operationalizing Customer Analytics with Azure and Power BIOperationalizing Customer Analytics with Azure and Power BI
Operationalizing Customer Analytics with Azure and Power BI
 
Marketing planning and performance measurement solution business case
Marketing planning and performance measurement solution business caseMarketing planning and performance measurement solution business case
Marketing planning and performance measurement solution business case
 
Transform Data into Action
Transform Data into ActionTransform Data into Action
Transform Data into Action
 
Data Mining Services in various types
Data Mining Services in various typesData Mining Services in various types
Data Mining Services in various types
 

Último

Manulife - Insurer Transformation Award 2024
Manulife - Insurer Transformation Award 2024Manulife - Insurer Transformation Award 2024
Manulife - Insurer Transformation Award 2024The Digital Insurer
 
FWD Group - Insurer Innovation Award 2024
FWD Group - Insurer Innovation Award 2024FWD Group - Insurer Innovation Award 2024
FWD Group - Insurer Innovation Award 2024The Digital Insurer
 
DBX First Quarter 2024 Investor Presentation
DBX First Quarter 2024 Investor PresentationDBX First Quarter 2024 Investor Presentation
DBX First Quarter 2024 Investor PresentationDropbox
 
ICT role in 21st century education and its challenges
ICT role in 21st century education and its challengesICT role in 21st century education and its challenges
ICT role in 21st century education and its challengesrafiqahmad00786416
 
Apidays New York 2024 - Passkeys: Developing APIs to enable passwordless auth...
Apidays New York 2024 - Passkeys: Developing APIs to enable passwordless auth...Apidays New York 2024 - Passkeys: Developing APIs to enable passwordless auth...
Apidays New York 2024 - Passkeys: Developing APIs to enable passwordless auth...apidays
 
EMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWER
EMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWEREMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWER
EMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWERMadyBayot
 
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemkeProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemkeProduct Anonymous
 
AWS Community Day CPH - Three problems of Terraform
AWS Community Day CPH - Three problems of TerraformAWS Community Day CPH - Three problems of Terraform
AWS Community Day CPH - Three problems of TerraformAndrey Devyatkin
 
Apidays New York 2024 - The value of a flexible API Management solution for O...
Apidays New York 2024 - The value of a flexible API Management solution for O...Apidays New York 2024 - The value of a flexible API Management solution for O...
Apidays New York 2024 - The value of a flexible API Management solution for O...apidays
 
Architecting Cloud Native Applications
Architecting Cloud Native ApplicationsArchitecting Cloud Native Applications
Architecting Cloud Native ApplicationsWSO2
 
Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...
Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...
Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...Angeliki Cooney
 
"I see eyes in my soup": How Delivery Hero implemented the safety system for ...
"I see eyes in my soup": How Delivery Hero implemented the safety system for ..."I see eyes in my soup": How Delivery Hero implemented the safety system for ...
"I see eyes in my soup": How Delivery Hero implemented the safety system for ...Zilliz
 
MINDCTI Revenue Release Quarter One 2024
MINDCTI Revenue Release Quarter One 2024MINDCTI Revenue Release Quarter One 2024
MINDCTI Revenue Release Quarter One 2024MIND CTI
 
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...DianaGray10
 
Emergent Methods: Multi-lingual narrative tracking in the news - real-time ex...
Emergent Methods: Multi-lingual narrative tracking in the news - real-time ex...Emergent Methods: Multi-lingual narrative tracking in the news - real-time ex...
Emergent Methods: Multi-lingual narrative tracking in the news - real-time ex...Zilliz
 
CNIC Information System with Pakdata Cf In Pakistan
CNIC Information System with Pakdata Cf In PakistanCNIC Information System with Pakdata Cf In Pakistan
CNIC Information System with Pakdata Cf In Pakistandanishmna97
 
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerHow to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerThousandEyes
 
Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood
Polkadot JAM Slides - Token2049 - By Dr. Gavin WoodPolkadot JAM Slides - Token2049 - By Dr. Gavin Wood
Polkadot JAM Slides - Token2049 - By Dr. Gavin WoodJuan lago vázquez
 
Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...
Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...
Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...apidays
 
Cyberprint. Dark Pink Apt Group [EN].pdf
Cyberprint. Dark Pink Apt Group [EN].pdfCyberprint. Dark Pink Apt Group [EN].pdf
Cyberprint. Dark Pink Apt Group [EN].pdfOverkill Security
 

Último (20)

Manulife - Insurer Transformation Award 2024
Manulife - Insurer Transformation Award 2024Manulife - Insurer Transformation Award 2024
Manulife - Insurer Transformation Award 2024
 
FWD Group - Insurer Innovation Award 2024
FWD Group - Insurer Innovation Award 2024FWD Group - Insurer Innovation Award 2024
FWD Group - Insurer Innovation Award 2024
 
DBX First Quarter 2024 Investor Presentation
DBX First Quarter 2024 Investor PresentationDBX First Quarter 2024 Investor Presentation
DBX First Quarter 2024 Investor Presentation
 
ICT role in 21st century education and its challenges
ICT role in 21st century education and its challengesICT role in 21st century education and its challenges
ICT role in 21st century education and its challenges
 
Apidays New York 2024 - Passkeys: Developing APIs to enable passwordless auth...
Apidays New York 2024 - Passkeys: Developing APIs to enable passwordless auth...Apidays New York 2024 - Passkeys: Developing APIs to enable passwordless auth...
Apidays New York 2024 - Passkeys: Developing APIs to enable passwordless auth...
 
EMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWER
EMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWEREMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWER
EMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWER
 
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemkeProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
 
AWS Community Day CPH - Three problems of Terraform
AWS Community Day CPH - Three problems of TerraformAWS Community Day CPH - Three problems of Terraform
AWS Community Day CPH - Three problems of Terraform
 
Apidays New York 2024 - The value of a flexible API Management solution for O...
Apidays New York 2024 - The value of a flexible API Management solution for O...Apidays New York 2024 - The value of a flexible API Management solution for O...
Apidays New York 2024 - The value of a flexible API Management solution for O...
 
Architecting Cloud Native Applications
Architecting Cloud Native ApplicationsArchitecting Cloud Native Applications
Architecting Cloud Native Applications
 
Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...
Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...
Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...
 
"I see eyes in my soup": How Delivery Hero implemented the safety system for ...
"I see eyes in my soup": How Delivery Hero implemented the safety system for ..."I see eyes in my soup": How Delivery Hero implemented the safety system for ...
"I see eyes in my soup": How Delivery Hero implemented the safety system for ...
 
MINDCTI Revenue Release Quarter One 2024
MINDCTI Revenue Release Quarter One 2024MINDCTI Revenue Release Quarter One 2024
MINDCTI Revenue Release Quarter One 2024
 
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
 
Emergent Methods: Multi-lingual narrative tracking in the news - real-time ex...
Emergent Methods: Multi-lingual narrative tracking in the news - real-time ex...Emergent Methods: Multi-lingual narrative tracking in the news - real-time ex...
Emergent Methods: Multi-lingual narrative tracking in the news - real-time ex...
 
CNIC Information System with Pakdata Cf In Pakistan
CNIC Information System with Pakdata Cf In PakistanCNIC Information System with Pakdata Cf In Pakistan
CNIC Information System with Pakdata Cf In Pakistan
 
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerHow to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected Worker
 
Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood
Polkadot JAM Slides - Token2049 - By Dr. Gavin WoodPolkadot JAM Slides - Token2049 - By Dr. Gavin Wood
Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood
 
Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...
Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...
Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...
 
Cyberprint. Dark Pink Apt Group [EN].pdf
Cyberprint. Dark Pink Apt Group [EN].pdfCyberprint. Dark Pink Apt Group [EN].pdf
Cyberprint. Dark Pink Apt Group [EN].pdf
 

Microsoft Crm Analytics

  • 1. Nic Smith BI Solutions Marketing Microsoft Corporation
  • 2.  
  • 3. Executives Managers End-users USERS OBJECTIVES Tactical Strategic Business Scorecard Operational Analysis Embedded Guidance Analytic Needs Differ by Role and Objective
  • 4.
  • 5.
  • 6.
  • 7.
  • 8.
  • 9. More Agility More Customer Loyalty Empower employees with customer metrics that guide employees to make decisions that will help build customer trust . More Revenue Prioritize marketing and sales initiatives in those that show the greatest return on investment. More Productivity Strategically align all customer-facing operations and empower employees from the top down to quickly adjust to changing environments . Eliminate learning curve issues while realizing fast adoption rates by delivering familiar applications that work the way your employees work.
  • 10.  
  • 11.  
  • 12.  
  • 13.  
  • 14.  
  • 15.
  • 16. The Magic Quadrant is copyrighted February, 2008 by Gartner, Inc. and is reused with permission. The Magic Quadrant is a graphical representation of a marketplace at and for a specific time period. It depicts Gartner’s analysis of how certain vendors measure against criteria for that marketplace, as defined by Gartner. Gartner does not endorse any vendor, product or service depicted in the Magic Quadrant, and does not advise technology users to select only those vendors placed in the “Leaders” quadrant. The Magic Quadrant is intended solely as a research tool, and is not meant to be a specific guide to action. Gartner disclaims all warranties, express or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose. Gartner, Inc. “Gartner Magic Quadrant for Business Intelligence Platforms, 2008,” James Richardson et al., Feb. 1, 2008
  • 17.  
  • 18. Mainframe/ Departmental Systems END USER TOOLS AND PERFORMANCE MANAGEMENT APPLICATIONS BI PLATFORM (RDBMS, ETL, OLAP, Reporting) DELIVERY
  • 19. What happened? Reporting, Consolidation What is happening? Scorecards and Dashboards Why did it happen? Analytics What will happen? Forecasting What do I want to happen? Planning, Budgeting
  • 20.

Notas do Editor

  1. 06/06/09 07:36 © 2007 Microsoft Corporation. All rights reserved. Microsoft, Windows, Windows Vista and other product names are or may be registered trademarks and/or trademarks in the U.S. and/or other countries. The information herein is for informational purposes only and represents the current view of Microsoft Corporation as of the date of this presentation. Because Microsoft must respond to changing market conditions, it should not be interpreted to be a commitment on the part of Microsoft, and Microsoft cannot guarantee the accuracy of any information provided after the date of this presentation. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.