SlideShare a Scribd company logo
Development Council February 14, 2011
In the last Development Council Meeting, Jerry spoke about the importance of a migration (or a transition) from DAC to DART.
DART DAC Fact is, some people have been thinking that DART will be a magic wand – and when this new application is built our data problems will be solved.  But, there is no toggle switch to excellence.  Excellence will be a process of migration.
We need to begin a more aggressive stance on centralized data now. We need new actions to ensure that what goes in is more accurate than ever.  And we need to make sure everyone buys into the process so when the new application is available, the transition will be positive and in fact possible.  To achieve that transitionarygoal, we’ve created an initiative call “Information Excellence”.
The objective of Information Excellence is to: Enhance and sustain the lifelong engagement of  alumni, volunteers, donors, and prospective donors throughthe disciplined, respectful, and creative use of data.
What You Must Do
What We Can Accomplish Together Getting the data right. AND appending it with worthwhile data.  AND making it easy for you to access are our priorities. Data Acquisition, Cleansing and Reporting Wealth Screening Portfolio Data Analytics DAC to DART Migration
What We Can Accomplish Together Data Acquisition, Cleansing and Reporting Portfolio Wealth Screening – we’ve already done some great work Data Analytics DAC to DART Migration
What We Can Accomplish Together ,[object Object]
Portfolio
Wealth Screening
Data Analytics
DAC to DART Migration,[object Object]
UNDERSTANDING & AWARENESS Expand the knowledge base around data, data systems, and individual best practice Develop shared responsibility for data accuracy through communications, best-practices, and networking
SHARED RESPONSIBILTY Encourage our collective commitment to sustaining the lifelong engagement of alumni, donors, and volunteers at all levels throughout the university
TRANSPARENCY Create and maintain one book of record for common data that contains a complete and accurate picture of our constituents and our relationship with them  Inspire trust in this data because it is accurate, comprehensive, timely, and secure
EFFICIENCY Leverage people, financial, and system resources wisely in a constrained budget environment.  Avoid duplicate or repetitive work.  Ensure systems and processes are designed for efficient use and maintenance.

More Related Content

What's hot

Jumpstart a Lucrative Career in Data Science
Jumpstart a Lucrative Career in Data ScienceJumpstart a Lucrative Career in Data Science
Jumpstart a Lucrative Career in Data Science
Sharala Axryd
 
Data Science, Analytics and AI: Gamechangers for the Future of Work
Data Science, Analytics and AI: Gamechangers for the Future of WorkData Science, Analytics and AI: Gamechangers for the Future of Work
Data Science, Analytics and AI: Gamechangers for the Future of Work
Sharala Axryd
 
reinvening healthcare services
reinvening healthcare servicesreinvening healthcare services
reinvening healthcare services
Yasuji Suda
 
Data Ecomony Institute Short Description 2015
Data Ecomony Institute Short Description 2015Data Ecomony Institute Short Description 2015
Data Ecomony Institute Short Description 2015
Bruce A. Strong
 
Philips Big Data Expo
Philips Big Data ExpoPhilips Big Data Expo
Philips Big Data Expo
BigDataExpo
 
SMART Seminar Series: SMART Data Management
SMART Seminar Series: SMART Data ManagementSMART Seminar Series: SMART Data Management
SMART Seminar Series: SMART Data Management
SMART Infrastructure Facility
 
Information Security Forum (ISF) Congress 2013
Information Security Forum (ISF) Congress 2013 Information Security Forum (ISF) Congress 2013
Information Security Forum (ISF) Congress 2013
NIHR Clinical Research Network
 
Gartner 2015 10 techtrendsthrough2015
Gartner 2015 10 techtrendsthrough2015Gartner 2015 10 techtrendsthrough2015
Gartner 2015 10 techtrendsthrough2015
blt5
 
Analytics Staffing Models of Health Systems That Compete Well Using Data
Analytics Staffing Models of Health Systems That Compete Well Using DataAnalytics Staffing Models of Health Systems That Compete Well Using Data
Analytics Staffing Models of Health Systems That Compete Well Using Data
ThotWave
 
Digital Transformation Journey
Digital Transformation JourneyDigital Transformation Journey
Digital Transformation Journey
Clayton Pyne
 
Improving practitioner decision making capabilities with data and analytics v1
Improving practitioner decision making capabilities with data and analytics v1Improving practitioner decision making capabilities with data and analytics v1
Improving practitioner decision making capabilities with data and analytics v1
Ali Khan
 
Boost Your Analytics Acumen: Learn Where BI is Headed from the Wisdom of the ...
Boost Your Analytics Acumen: Learn Where BI is Headed from the Wisdom of the ...Boost Your Analytics Acumen: Learn Where BI is Headed from the Wisdom of the ...
Boost Your Analytics Acumen: Learn Where BI is Headed from the Wisdom of the ...
Birst
 
Marketing Network presentation: Why marketers need to be concerned with data ...
Marketing Network presentation: Why marketers need to be concerned with data ...Marketing Network presentation: Why marketers need to be concerned with data ...
Marketing Network presentation: Why marketers need to be concerned with data ...
KETL Limited
 
Why Data Science Projects Fail
Why Data Science Projects FailWhy Data Science Projects Fail
Why Data Science Projects Fail
Sense Corp
 
Data Literacy and Data Virtualization: A Step-by-step Guide to Bolstering You...
Data Literacy and Data Virtualization: A Step-by-step Guide to Bolstering You...Data Literacy and Data Virtualization: A Step-by-step Guide to Bolstering You...
Data Literacy and Data Virtualization: A Step-by-step Guide to Bolstering You...
Denodo
 
Data Visualization: Addressing Data Overload With the Power of 'Wow'
Data Visualization: Addressing Data Overload With the Power of 'Wow'Data Visualization: Addressing Data Overload With the Power of 'Wow'
Data Visualization: Addressing Data Overload With the Power of 'Wow'
Forum One
 
Change Management: The Secret to a Successful SAS® Implementation
Change Management:  The Secret to a Successful SAS® ImplementationChange Management:  The Secret to a Successful SAS® Implementation
Change Management: The Secret to a Successful SAS® Implementation
ThotWave
 
DataEd Online: Unlocking Business Value through Data Modeling and Data Archit...
DataEd Online: Unlocking Business Value through Data Modeling and Data Archit...DataEd Online: Unlocking Business Value through Data Modeling and Data Archit...
DataEd Online: Unlocking Business Value through Data Modeling and Data Archit...
DATAVERSITY
 
DataEd Slides: Getting Data Quality Right – Success Stories
DataEd Slides: Getting Data Quality Right – Success StoriesDataEd Slides: Getting Data Quality Right – Success Stories
DataEd Slides: Getting Data Quality Right – Success Stories
DATAVERSITY
 
Seminar presentation format
Seminar presentation formatSeminar presentation format
Seminar presentation format
Philip Oluwa-Precious
 

What's hot (20)

Jumpstart a Lucrative Career in Data Science
Jumpstart a Lucrative Career in Data ScienceJumpstart a Lucrative Career in Data Science
Jumpstart a Lucrative Career in Data Science
 
Data Science, Analytics and AI: Gamechangers for the Future of Work
Data Science, Analytics and AI: Gamechangers for the Future of WorkData Science, Analytics and AI: Gamechangers for the Future of Work
Data Science, Analytics and AI: Gamechangers for the Future of Work
 
reinvening healthcare services
reinvening healthcare servicesreinvening healthcare services
reinvening healthcare services
 
Data Ecomony Institute Short Description 2015
Data Ecomony Institute Short Description 2015Data Ecomony Institute Short Description 2015
Data Ecomony Institute Short Description 2015
 
Philips Big Data Expo
Philips Big Data ExpoPhilips Big Data Expo
Philips Big Data Expo
 
SMART Seminar Series: SMART Data Management
SMART Seminar Series: SMART Data ManagementSMART Seminar Series: SMART Data Management
SMART Seminar Series: SMART Data Management
 
Information Security Forum (ISF) Congress 2013
Information Security Forum (ISF) Congress 2013 Information Security Forum (ISF) Congress 2013
Information Security Forum (ISF) Congress 2013
 
Gartner 2015 10 techtrendsthrough2015
Gartner 2015 10 techtrendsthrough2015Gartner 2015 10 techtrendsthrough2015
Gartner 2015 10 techtrendsthrough2015
 
Analytics Staffing Models of Health Systems That Compete Well Using Data
Analytics Staffing Models of Health Systems That Compete Well Using DataAnalytics Staffing Models of Health Systems That Compete Well Using Data
Analytics Staffing Models of Health Systems That Compete Well Using Data
 
Digital Transformation Journey
Digital Transformation JourneyDigital Transformation Journey
Digital Transformation Journey
 
Improving practitioner decision making capabilities with data and analytics v1
Improving practitioner decision making capabilities with data and analytics v1Improving practitioner decision making capabilities with data and analytics v1
Improving practitioner decision making capabilities with data and analytics v1
 
Boost Your Analytics Acumen: Learn Where BI is Headed from the Wisdom of the ...
Boost Your Analytics Acumen: Learn Where BI is Headed from the Wisdom of the ...Boost Your Analytics Acumen: Learn Where BI is Headed from the Wisdom of the ...
Boost Your Analytics Acumen: Learn Where BI is Headed from the Wisdom of the ...
 
Marketing Network presentation: Why marketers need to be concerned with data ...
Marketing Network presentation: Why marketers need to be concerned with data ...Marketing Network presentation: Why marketers need to be concerned with data ...
Marketing Network presentation: Why marketers need to be concerned with data ...
 
Why Data Science Projects Fail
Why Data Science Projects FailWhy Data Science Projects Fail
Why Data Science Projects Fail
 
Data Literacy and Data Virtualization: A Step-by-step Guide to Bolstering You...
Data Literacy and Data Virtualization: A Step-by-step Guide to Bolstering You...Data Literacy and Data Virtualization: A Step-by-step Guide to Bolstering You...
Data Literacy and Data Virtualization: A Step-by-step Guide to Bolstering You...
 
Data Visualization: Addressing Data Overload With the Power of 'Wow'
Data Visualization: Addressing Data Overload With the Power of 'Wow'Data Visualization: Addressing Data Overload With the Power of 'Wow'
Data Visualization: Addressing Data Overload With the Power of 'Wow'
 
Change Management: The Secret to a Successful SAS® Implementation
Change Management:  The Secret to a Successful SAS® ImplementationChange Management:  The Secret to a Successful SAS® Implementation
Change Management: The Secret to a Successful SAS® Implementation
 
DataEd Online: Unlocking Business Value through Data Modeling and Data Archit...
DataEd Online: Unlocking Business Value through Data Modeling and Data Archit...DataEd Online: Unlocking Business Value through Data Modeling and Data Archit...
DataEd Online: Unlocking Business Value through Data Modeling and Data Archit...
 
DataEd Slides: Getting Data Quality Right – Success Stories
DataEd Slides: Getting Data Quality Right – Success StoriesDataEd Slides: Getting Data Quality Right – Success Stories
DataEd Slides: Getting Data Quality Right – Success Stories
 
Seminar presentation format
Seminar presentation formatSeminar presentation format
Seminar presentation format
 

Similar to U-M Information Excellence

WHITE PAPER: Distributed Data Quality
WHITE PAPER: Distributed Data QualityWHITE PAPER: Distributed Data Quality
WHITE PAPER: Distributed Data Quality
Alan D. Duncan
 
The Essentials of Data Governance in the New Normal
The Essentials of Data Governance in the New NormalThe Essentials of Data Governance in the New Normal
The Essentials of Data Governance in the New Normal
Mathias Vercauteren
 
The Path to Data and Analytics Modernization
The Path to Data and Analytics ModernizationThe Path to Data and Analytics Modernization
The Path to Data and Analytics Modernization
Analytics8
 
Nurturing datadriven culture
Nurturing datadriven cultureNurturing datadriven culture
Nurturing datadriven culture
Ajay Koomar
 
The #1 Success Factor for Data Migration Projects
The #1 Success Factor for Data Migration ProjectsThe #1 Success Factor for Data Migration Projects
The #1 Success Factor for Data Migration Projects
Roque Daudt, BCompSc
 
Christ PPT Template.pptx
Christ PPT Template.pptxChrist PPT Template.pptx
Christ PPT Template.pptx
SivaCheralathan
 
Data as a Service (DaaS): The What, Why, How, Who, and When
Data as a Service (DaaS): The What, Why, How, Who, and WhenData as a Service (DaaS): The What, Why, How, Who, and When
Data as a Service (DaaS): The What, Why, How, Who, and When
RocketSource
 
Data Driven Marketing: the DNA of customer orientated companies
Data Driven Marketing: the DNA of customer orientated companiesData Driven Marketing: the DNA of customer orientated companies
Data Driven Marketing: the DNA of customer orientated companies
Good Rebels
 
Data Driven Culture with Slalom's Director of Analytics
Data Driven Culture with Slalom's Director of AnalyticsData Driven Culture with Slalom's Director of Analytics
Data Driven Culture with Slalom's Director of Analytics
Promotable
 
How Data Wrangling Is Reshaping IT Strategies.pdf
How Data Wrangling Is Reshaping IT Strategies.pdfHow Data Wrangling Is Reshaping IT Strategies.pdf
How Data Wrangling Is Reshaping IT Strategies.pdf
varshanayak241
 
Making Data Governance Work - Think Big but Start Small
Making Data Governance Work - Think Big but Start SmallMaking Data Governance Work - Think Big but Start Small
Making Data Governance Work - Think Big but Start Small
Earley Information Science
 
Veritas corporate brochure emea
Veritas corporate brochure emeaVeritas corporate brochure emea
Veritas corporate brochure emea
Hayatollah Ayoubi
 
The Evolution of Data Center Infrastructure Has Now Ushered in The Era of Dat...
The Evolution of Data Center Infrastructure Has Now Ushered in The Era of Dat...The Evolution of Data Center Infrastructure Has Now Ushered in The Era of Dat...
The Evolution of Data Center Infrastructure Has Now Ushered in The Era of Dat...
Dana Gardner
 
Data_Harmonization_ClearStory
Data_Harmonization_ClearStoryData_Harmonization_ClearStory
Data_Harmonization_ClearStory
William Davis
 
Knowledge Matters Issue 15 - Technology at Concern
Knowledge Matters Issue 15 - Technology at ConcernKnowledge Matters Issue 15 - Technology at Concern
Knowledge Matters Issue 15 - Technology at Concern
Ellen Ward
 
Digital Analytics: Nonprofit Necessity
Digital Analytics: Nonprofit NecessityDigital Analytics: Nonprofit Necessity
Digital Analytics: Nonprofit Necessity
accenture
 
Successful stewardship Presentation
Successful stewardship PresentationSuccessful stewardship Presentation
Successful stewardship Presentation
Certus Solutions
 
Mobile Apps: No Longer a Black Box of Digital Measurement
Mobile Apps: No Longer a Black Box of Digital MeasurementMobile Apps: No Longer a Black Box of Digital Measurement
Mobile Apps: No Longer a Black Box of Digital Measurement
Ensighten
 
Creating your Center of Excellence (CoE) for data driven use cases
Creating your Center of Excellence (CoE) for data driven use casesCreating your Center of Excellence (CoE) for data driven use cases
Creating your Center of Excellence (CoE) for data driven use cases
Frank Vullers
 
Data Cleaning
Data CleaningData Cleaning
Data Cleaning
Becky Nahas
 

Similar to U-M Information Excellence (20)

WHITE PAPER: Distributed Data Quality
WHITE PAPER: Distributed Data QualityWHITE PAPER: Distributed Data Quality
WHITE PAPER: Distributed Data Quality
 
The Essentials of Data Governance in the New Normal
The Essentials of Data Governance in the New NormalThe Essentials of Data Governance in the New Normal
The Essentials of Data Governance in the New Normal
 
The Path to Data and Analytics Modernization
The Path to Data and Analytics ModernizationThe Path to Data and Analytics Modernization
The Path to Data and Analytics Modernization
 
Nurturing datadriven culture
Nurturing datadriven cultureNurturing datadriven culture
Nurturing datadriven culture
 
The #1 Success Factor for Data Migration Projects
The #1 Success Factor for Data Migration ProjectsThe #1 Success Factor for Data Migration Projects
The #1 Success Factor for Data Migration Projects
 
Christ PPT Template.pptx
Christ PPT Template.pptxChrist PPT Template.pptx
Christ PPT Template.pptx
 
Data as a Service (DaaS): The What, Why, How, Who, and When
Data as a Service (DaaS): The What, Why, How, Who, and WhenData as a Service (DaaS): The What, Why, How, Who, and When
Data as a Service (DaaS): The What, Why, How, Who, and When
 
Data Driven Marketing: the DNA of customer orientated companies
Data Driven Marketing: the DNA of customer orientated companiesData Driven Marketing: the DNA of customer orientated companies
Data Driven Marketing: the DNA of customer orientated companies
 
Data Driven Culture with Slalom's Director of Analytics
Data Driven Culture with Slalom's Director of AnalyticsData Driven Culture with Slalom's Director of Analytics
Data Driven Culture with Slalom's Director of Analytics
 
How Data Wrangling Is Reshaping IT Strategies.pdf
How Data Wrangling Is Reshaping IT Strategies.pdfHow Data Wrangling Is Reshaping IT Strategies.pdf
How Data Wrangling Is Reshaping IT Strategies.pdf
 
Making Data Governance Work - Think Big but Start Small
Making Data Governance Work - Think Big but Start SmallMaking Data Governance Work - Think Big but Start Small
Making Data Governance Work - Think Big but Start Small
 
Veritas corporate brochure emea
Veritas corporate brochure emeaVeritas corporate brochure emea
Veritas corporate brochure emea
 
The Evolution of Data Center Infrastructure Has Now Ushered in The Era of Dat...
The Evolution of Data Center Infrastructure Has Now Ushered in The Era of Dat...The Evolution of Data Center Infrastructure Has Now Ushered in The Era of Dat...
The Evolution of Data Center Infrastructure Has Now Ushered in The Era of Dat...
 
Data_Harmonization_ClearStory
Data_Harmonization_ClearStoryData_Harmonization_ClearStory
Data_Harmonization_ClearStory
 
Knowledge Matters Issue 15 - Technology at Concern
Knowledge Matters Issue 15 - Technology at ConcernKnowledge Matters Issue 15 - Technology at Concern
Knowledge Matters Issue 15 - Technology at Concern
 
Digital Analytics: Nonprofit Necessity
Digital Analytics: Nonprofit NecessityDigital Analytics: Nonprofit Necessity
Digital Analytics: Nonprofit Necessity
 
Successful stewardship Presentation
Successful stewardship PresentationSuccessful stewardship Presentation
Successful stewardship Presentation
 
Mobile Apps: No Longer a Black Box of Digital Measurement
Mobile Apps: No Longer a Black Box of Digital MeasurementMobile Apps: No Longer a Black Box of Digital Measurement
Mobile Apps: No Longer a Black Box of Digital Measurement
 
Creating your Center of Excellence (CoE) for data driven use cases
Creating your Center of Excellence (CoE) for data driven use casesCreating your Center of Excellence (CoE) for data driven use cases
Creating your Center of Excellence (CoE) for data driven use cases
 
Data Cleaning
Data CleaningData Cleaning
Data Cleaning
 

More from UM_DART

DART timing and change management
DART timing and change managementDART timing and change management
DART timing and change management
UM_DART
 
Yammer groups tutorial
Yammer groups tutorialYammer groups tutorial
Yammer groups tutorial
UM_DART
 
Intro to Yammer
Intro to YammerIntro to Yammer
Intro to Yammer
UM_DART
 
DART Update September
DART Update SeptemberDART Update September
DART Update September
UM_DART
 
Ul program overview_structure_scu
Ul program overview_structure_scuUl program overview_structure_scu
Ul program overview_structure_scu
UM_DART
 
UL Program Overview for Program Managers
UL Program Overview for Program ManagersUL Program Overview for Program Managers
UL Program Overview for Program Managers
UM_DART
 
Dart update bag_final
Dart update bag_finalDart update bag_final
Dart update bag_final
UM_DART
 
Change management breakdown
Change management breakdownChange management breakdown
Change management breakdown
UM_DART
 
Tour de DART Sept 2009
Tour de DART Sept 2009Tour de DART Sept 2009
Tour de DART Sept 2009
UM_DART
 
Tour de DART Sept. 2009
Tour de DART Sept. 2009Tour de DART Sept. 2009
Tour de DART Sept. 2009
UM_DART
 
Tour de DART Sept 2009
Tour de DART Sept 2009Tour de DART Sept 2009
Tour de DART Sept 2009
UM_DART
 
Tour de DART July 2009
Tour de DART July 2009Tour de DART July 2009
Tour de DART July 2009
UM_DART
 
Tour de DART July 2009: Volunteer Expectations
Tour de DART July 2009: Volunteer ExpectationsTour de DART July 2009: Volunteer Expectations
Tour de DART July 2009: Volunteer Expectations
UM_DART
 
Tour de DART July 2009 - Triumphs
Tour de DART July 2009 - TriumphsTour de DART July 2009 - Triumphs
Tour de DART July 2009 - Triumphs
UM_DART
 
Tour de DART 2009 - Volunteer Update
Tour de DART 2009 - Volunteer UpdateTour de DART 2009 - Volunteer Update
Tour de DART 2009 - Volunteer Update
UM_DART
 
UM DART Project Organization
UM DART Project OrganizationUM DART Project Organization
UM DART Project Organization
UM_DART
 
UM DART - Mac Compatibility
UM DART - Mac CompatibilityUM DART - Mac Compatibility
UM DART - Mac Compatibility
UM_DART
 

More from UM_DART (17)

DART timing and change management
DART timing and change managementDART timing and change management
DART timing and change management
 
Yammer groups tutorial
Yammer groups tutorialYammer groups tutorial
Yammer groups tutorial
 
Intro to Yammer
Intro to YammerIntro to Yammer
Intro to Yammer
 
DART Update September
DART Update SeptemberDART Update September
DART Update September
 
Ul program overview_structure_scu
Ul program overview_structure_scuUl program overview_structure_scu
Ul program overview_structure_scu
 
UL Program Overview for Program Managers
UL Program Overview for Program ManagersUL Program Overview for Program Managers
UL Program Overview for Program Managers
 
Dart update bag_final
Dart update bag_finalDart update bag_final
Dart update bag_final
 
Change management breakdown
Change management breakdownChange management breakdown
Change management breakdown
 
Tour de DART Sept 2009
Tour de DART Sept 2009Tour de DART Sept 2009
Tour de DART Sept 2009
 
Tour de DART Sept. 2009
Tour de DART Sept. 2009Tour de DART Sept. 2009
Tour de DART Sept. 2009
 
Tour de DART Sept 2009
Tour de DART Sept 2009Tour de DART Sept 2009
Tour de DART Sept 2009
 
Tour de DART July 2009
Tour de DART July 2009Tour de DART July 2009
Tour de DART July 2009
 
Tour de DART July 2009: Volunteer Expectations
Tour de DART July 2009: Volunteer ExpectationsTour de DART July 2009: Volunteer Expectations
Tour de DART July 2009: Volunteer Expectations
 
Tour de DART July 2009 - Triumphs
Tour de DART July 2009 - TriumphsTour de DART July 2009 - Triumphs
Tour de DART July 2009 - Triumphs
 
Tour de DART 2009 - Volunteer Update
Tour de DART 2009 - Volunteer UpdateTour de DART 2009 - Volunteer Update
Tour de DART 2009 - Volunteer Update
 
UM DART Project Organization
UM DART Project OrganizationUM DART Project Organization
UM DART Project Organization
 
UM DART - Mac Compatibility
UM DART - Mac CompatibilityUM DART - Mac Compatibility
UM DART - Mac Compatibility
 

Recently uploaded

A Comprehensive Guide to DeFi Development Services in 2024
A Comprehensive Guide to DeFi Development Services in 2024A Comprehensive Guide to DeFi Development Services in 2024
A Comprehensive Guide to DeFi Development Services in 2024
Intelisync
 
Monitoring and Managing Anomaly Detection on OpenShift.pdf
Monitoring and Managing Anomaly Detection on OpenShift.pdfMonitoring and Managing Anomaly Detection on OpenShift.pdf
Monitoring and Managing Anomaly Detection on OpenShift.pdf
Tosin Akinosho
 
Programming Foundation Models with DSPy - Meetup Slides
Programming Foundation Models with DSPy - Meetup SlidesProgramming Foundation Models with DSPy - Meetup Slides
Programming Foundation Models with DSPy - Meetup Slides
Zilliz
 
Columbus Data & Analytics Wednesdays - June 2024
Columbus Data & Analytics Wednesdays - June 2024Columbus Data & Analytics Wednesdays - June 2024
Columbus Data & Analytics Wednesdays - June 2024
Jason Packer
 
Skybuffer AI: Advanced Conversational and Generative AI Solution on SAP Busin...
Skybuffer AI: Advanced Conversational and Generative AI Solution on SAP Busin...Skybuffer AI: Advanced Conversational and Generative AI Solution on SAP Busin...
Skybuffer AI: Advanced Conversational and Generative AI Solution on SAP Busin...
Tatiana Kojar
 
Choosing The Best AWS Service For Your Website + API.pptx
Choosing The Best AWS Service For Your Website + API.pptxChoosing The Best AWS Service For Your Website + API.pptx
Choosing The Best AWS Service For Your Website + API.pptx
Brandon Minnick, MBA
 
Freshworks Rethinks NoSQL for Rapid Scaling & Cost-Efficiency
Freshworks Rethinks NoSQL for Rapid Scaling & Cost-EfficiencyFreshworks Rethinks NoSQL for Rapid Scaling & Cost-Efficiency
Freshworks Rethinks NoSQL for Rapid Scaling & Cost-Efficiency
ScyllaDB
 
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slack
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with SlackLet's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slack
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slack
shyamraj55
 
Digital Banking in the Cloud: How Citizens Bank Unlocked Their Mainframe
Digital Banking in the Cloud: How Citizens Bank Unlocked Their MainframeDigital Banking in the Cloud: How Citizens Bank Unlocked Their Mainframe
Digital Banking in the Cloud: How Citizens Bank Unlocked Their Mainframe
Precisely
 
Public CyberSecurity Awareness Presentation 2024.pptx
Public CyberSecurity Awareness Presentation 2024.pptxPublic CyberSecurity Awareness Presentation 2024.pptx
Public CyberSecurity Awareness Presentation 2024.pptx
marufrahmanstratejm
 
5th LF Energy Power Grid Model Meet-up Slides
5th LF Energy Power Grid Model Meet-up Slides5th LF Energy Power Grid Model Meet-up Slides
5th LF Energy Power Grid Model Meet-up Slides
DanBrown980551
 
Building Production Ready Search Pipelines with Spark and Milvus
Building Production Ready Search Pipelines with Spark and MilvusBuilding Production Ready Search Pipelines with Spark and Milvus
Building Production Ready Search Pipelines with Spark and Milvus
Zilliz
 
dbms calicut university B. sc Cs 4th sem.pdf
dbms  calicut university B. sc Cs 4th sem.pdfdbms  calicut university B. sc Cs 4th sem.pdf
dbms calicut university B. sc Cs 4th sem.pdf
Shinana2
 
Main news related to the CCS TSI 2023 (2023/1695)
Main news related to the CCS TSI 2023 (2023/1695)Main news related to the CCS TSI 2023 (2023/1695)
Main news related to the CCS TSI 2023 (2023/1695)
Jakub Marek
 
Trusted Execution Environment for Decentralized Process Mining
Trusted Execution Environment for Decentralized Process MiningTrusted Execution Environment for Decentralized Process Mining
Trusted Execution Environment for Decentralized Process Mining
LucaBarbaro3
 
Your One-Stop Shop for Python Success: Top 10 US Python Development Providers
Your One-Stop Shop for Python Success: Top 10 US Python Development ProvidersYour One-Stop Shop for Python Success: Top 10 US Python Development Providers
Your One-Stop Shop for Python Success: Top 10 US Python Development Providers
akankshawande
 
Best 20 SEO Techniques To Improve Website Visibility In SERP
Best 20 SEO Techniques To Improve Website Visibility In SERPBest 20 SEO Techniques To Improve Website Visibility In SERP
Best 20 SEO Techniques To Improve Website Visibility In SERP
Pixlogix Infotech
 
Nordic Marketo Engage User Group_June 13_ 2024.pptx
Nordic Marketo Engage User Group_June 13_ 2024.pptxNordic Marketo Engage User Group_June 13_ 2024.pptx
Nordic Marketo Engage User Group_June 13_ 2024.pptx
MichaelKnudsen27
 
AWS Cloud Cost Optimization Presentation.pptx
AWS Cloud Cost Optimization Presentation.pptxAWS Cloud Cost Optimization Presentation.pptx
AWS Cloud Cost Optimization Presentation.pptx
HarisZaheer8
 
JavaLand 2024: Application Development Green Masterplan
JavaLand 2024: Application Development Green MasterplanJavaLand 2024: Application Development Green Masterplan
JavaLand 2024: Application Development Green Masterplan
Miro Wengner
 

Recently uploaded (20)

A Comprehensive Guide to DeFi Development Services in 2024
A Comprehensive Guide to DeFi Development Services in 2024A Comprehensive Guide to DeFi Development Services in 2024
A Comprehensive Guide to DeFi Development Services in 2024
 
Monitoring and Managing Anomaly Detection on OpenShift.pdf
Monitoring and Managing Anomaly Detection on OpenShift.pdfMonitoring and Managing Anomaly Detection on OpenShift.pdf
Monitoring and Managing Anomaly Detection on OpenShift.pdf
 
Programming Foundation Models with DSPy - Meetup Slides
Programming Foundation Models with DSPy - Meetup SlidesProgramming Foundation Models with DSPy - Meetup Slides
Programming Foundation Models with DSPy - Meetup Slides
 
Columbus Data & Analytics Wednesdays - June 2024
Columbus Data & Analytics Wednesdays - June 2024Columbus Data & Analytics Wednesdays - June 2024
Columbus Data & Analytics Wednesdays - June 2024
 
Skybuffer AI: Advanced Conversational and Generative AI Solution on SAP Busin...
Skybuffer AI: Advanced Conversational and Generative AI Solution on SAP Busin...Skybuffer AI: Advanced Conversational and Generative AI Solution on SAP Busin...
Skybuffer AI: Advanced Conversational and Generative AI Solution on SAP Busin...
 
Choosing The Best AWS Service For Your Website + API.pptx
Choosing The Best AWS Service For Your Website + API.pptxChoosing The Best AWS Service For Your Website + API.pptx
Choosing The Best AWS Service For Your Website + API.pptx
 
Freshworks Rethinks NoSQL for Rapid Scaling & Cost-Efficiency
Freshworks Rethinks NoSQL for Rapid Scaling & Cost-EfficiencyFreshworks Rethinks NoSQL for Rapid Scaling & Cost-Efficiency
Freshworks Rethinks NoSQL for Rapid Scaling & Cost-Efficiency
 
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slack
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with SlackLet's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slack
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slack
 
Digital Banking in the Cloud: How Citizens Bank Unlocked Their Mainframe
Digital Banking in the Cloud: How Citizens Bank Unlocked Their MainframeDigital Banking in the Cloud: How Citizens Bank Unlocked Their Mainframe
Digital Banking in the Cloud: How Citizens Bank Unlocked Their Mainframe
 
Public CyberSecurity Awareness Presentation 2024.pptx
Public CyberSecurity Awareness Presentation 2024.pptxPublic CyberSecurity Awareness Presentation 2024.pptx
Public CyberSecurity Awareness Presentation 2024.pptx
 
5th LF Energy Power Grid Model Meet-up Slides
5th LF Energy Power Grid Model Meet-up Slides5th LF Energy Power Grid Model Meet-up Slides
5th LF Energy Power Grid Model Meet-up Slides
 
Building Production Ready Search Pipelines with Spark and Milvus
Building Production Ready Search Pipelines with Spark and MilvusBuilding Production Ready Search Pipelines with Spark and Milvus
Building Production Ready Search Pipelines with Spark and Milvus
 
dbms calicut university B. sc Cs 4th sem.pdf
dbms  calicut university B. sc Cs 4th sem.pdfdbms  calicut university B. sc Cs 4th sem.pdf
dbms calicut university B. sc Cs 4th sem.pdf
 
Main news related to the CCS TSI 2023 (2023/1695)
Main news related to the CCS TSI 2023 (2023/1695)Main news related to the CCS TSI 2023 (2023/1695)
Main news related to the CCS TSI 2023 (2023/1695)
 
Trusted Execution Environment for Decentralized Process Mining
Trusted Execution Environment for Decentralized Process MiningTrusted Execution Environment for Decentralized Process Mining
Trusted Execution Environment for Decentralized Process Mining
 
Your One-Stop Shop for Python Success: Top 10 US Python Development Providers
Your One-Stop Shop for Python Success: Top 10 US Python Development ProvidersYour One-Stop Shop for Python Success: Top 10 US Python Development Providers
Your One-Stop Shop for Python Success: Top 10 US Python Development Providers
 
Best 20 SEO Techniques To Improve Website Visibility In SERP
Best 20 SEO Techniques To Improve Website Visibility In SERPBest 20 SEO Techniques To Improve Website Visibility In SERP
Best 20 SEO Techniques To Improve Website Visibility In SERP
 
Nordic Marketo Engage User Group_June 13_ 2024.pptx
Nordic Marketo Engage User Group_June 13_ 2024.pptxNordic Marketo Engage User Group_June 13_ 2024.pptx
Nordic Marketo Engage User Group_June 13_ 2024.pptx
 
AWS Cloud Cost Optimization Presentation.pptx
AWS Cloud Cost Optimization Presentation.pptxAWS Cloud Cost Optimization Presentation.pptx
AWS Cloud Cost Optimization Presentation.pptx
 
JavaLand 2024: Application Development Green Masterplan
JavaLand 2024: Application Development Green MasterplanJavaLand 2024: Application Development Green Masterplan
JavaLand 2024: Application Development Green Masterplan
 

U-M Information Excellence

  • 2. In the last Development Council Meeting, Jerry spoke about the importance of a migration (or a transition) from DAC to DART.
  • 3. DART DAC Fact is, some people have been thinking that DART will be a magic wand – and when this new application is built our data problems will be solved. But, there is no toggle switch to excellence. Excellence will be a process of migration.
  • 4. We need to begin a more aggressive stance on centralized data now. We need new actions to ensure that what goes in is more accurate than ever. And we need to make sure everyone buys into the process so when the new application is available, the transition will be positive and in fact possible. To achieve that transitionarygoal, we’ve created an initiative call “Information Excellence”.
  • 5. The objective of Information Excellence is to: Enhance and sustain the lifelong engagement of alumni, volunteers, donors, and prospective donors throughthe disciplined, respectful, and creative use of data.
  • 7. What We Can Accomplish Together Getting the data right. AND appending it with worthwhile data. AND making it easy for you to access are our priorities. Data Acquisition, Cleansing and Reporting Wealth Screening Portfolio Data Analytics DAC to DART Migration
  • 8. What We Can Accomplish Together Data Acquisition, Cleansing and Reporting Portfolio Wealth Screening – we’ve already done some great work Data Analytics DAC to DART Migration
  • 9.
  • 13.
  • 14. UNDERSTANDING & AWARENESS Expand the knowledge base around data, data systems, and individual best practice Develop shared responsibility for data accuracy through communications, best-practices, and networking
  • 15. SHARED RESPONSIBILTY Encourage our collective commitment to sustaining the lifelong engagement of alumni, donors, and volunteers at all levels throughout the university
  • 16. TRANSPARENCY Create and maintain one book of record for common data that contains a complete and accurate picture of our constituents and our relationship with them Inspire trust in this data because it is accurate, comprehensive, timely, and secure
  • 17. EFFICIENCY Leverage people, financial, and system resources wisely in a constrained budget environment. Avoid duplicate or repetitive work. Ensure systems and processes are designed for efficient use and maintenance.
  • 18. CONTINUOUS IMPROVEMENT Evolve and improve our practices to meet current and future needs Adapt in order to take advantage of new technological capabilities Involve individuals to shape and influence process and system design, focusing on customer experience improvement and data accuracy and the completeness of the data Encourage multiple perspectives, creative thought, and experimentation PROCESS OF IMPROVEMENT CONTINUOUS
  • 19. DO WHAT IS RIGHT Set and reaffirm a common understanding of expectations and mutual accountability through integrity, respect, and strong desire to do what is right for the constituent and the university

Editor's Notes

  1. In the last Development Council Meeting, Jerry spoke about the importance of a migration (or a transition) from DAC to Dart.
  2. You rememberthe slide…Fact is, some people have been thinking that DART will be a magic wand – and when this new application is built our data problems will be solved. But, there is no toggle switch to excellence. Excellence will be a process of migration.
  3. We need to begin a more aggressive stance on centralized data now. We need new actions to ensure that what goes in is more accurate than ever. And we need to make sure everyone buys into the process so when the new application is available, the transition will be positive and in fact possible. To achieve that transitionary goals, we’ve created an initiative call “Information Excellence”.
  4. The objective of Information Excellence is to: (see slide)
  5. This is not a “What You Must Do” Program
  6. It is a “What We Can Accomplish Together” programGetting the data right. AND appending it with worthwhile data. AND making it easy for you to access are our priorities.
  7. And its not just starting now, we’ve already done some great work in Wealth Screening. On the heels of the modeling scores rollout, we’ve screened nearly 40,000 individuals (over 26,000 households) We expect to screen an additional 50,000 over the next year The ratings generated by the screening have been loaded to DAC Over 8,000 households have been ID’d with major giving potential – more than 4,000 are unmanaged or “new” - Incorporated into EIS reports for viewing and reporting - Incorporated into standard Bus Obj reports for community use - Has provided an additional segmenting tool for strategy sessions, portfolio review, event analysis, prospect manager assignments - Some units, like ENG, have incorporated the modeling & screening data into a unit-wide prospect development strategy - The Pros Devel and Analytics team is working with a few pilot units to create information-based strategic prospect plans, for units with fewer internal resources (or smaller units) - We are using the data to begin assessment of the prospect pool for the next campaign
  8. And we’ve added new resources in data analytics – to help you succeed.For data acquisition, it would be great to mention the effort to expand on:Phones for non alumni and parents (updated phones for  127,216 non-alumni)Emails (alumni, non-alumni and parents (updated 82,959 emails)Address updated monthly with an average of 5,000 addresses updated monthly
  9. Also important are the six values we will employ while moving on this journey.
  10. Understanding and AwarenessExpand the knowledge base around data, data systems, and individual best practiceDevelop shared responsibility for data accuracy through communications, best-practices, and networking< Delete or edit… Leverage the DART implementation to raise consistent awareness of data-related issues, including systems and policy enhancements and behavioral change management in order to maintain high fundraising performance and alumni engagement in support of the university>
  11. Shared ResponsibilityEncourage our collective commitment to sustaining the lifelong engagement of alumni, donors, and volunteers at all levels throughout the universityData Management Practices Committee v2.0Reporting Advisory CommitteeDART Unit Liaison Parent and Student Engagement Steering Committee
  12. TransparencyCreate and maintain one book of record for common data that contains a complete and accurate picture of our constituents and our relationship with them Inspire trust in this data because it is accurate, comprehensive, timely, and secure
  13. EfficienciesLeverage people, financial, and system resources wisely in a constrained budget environmentAvoid duplicate or repetitive workEnsure systems and processes are designed for efficient use and maintenance
  14. This will be a process of continuous improvement…Evolve and improve our practices to meet current and future needsAdapt in order to take advantage of new technological capabilitiesInvolve individuals to shape and influence process and system design, focusing on customer experience improvement and data accuracy and the completeness of the dataEncourage multiple perspectives, creative thought, and experimentation
  15. Do What is RightSet and reaffirm a common understanding of expectations and mutual accountability through integrity, respect, and strong desire to do what is right for the constituent and the university
  16. So that’s Information Excellence. Let’s work to make this work together.