We use cookies, including third-party cookies from Google to serve personalized ads through AdSense, to operate this site and understand how it is used. By continuing to browse, you accept this use. See our Privacy Policy and Terms of Use for details, including how to opt out of personalized advertising.
Accept
SmartData CollectiveSmartData Collective
  • Analytics
    AnalyticsShow More
    What Kind of Problem-Solving Distinguishes Data Analysts From Software Engineers -- AI-generated illustration
    What Kind of Problem-Solving Distinguishes Data Analysts From Software Engineers
    7 Min Read
    chatgpt image jul 21, 2026, 04 34 30 pm
    4 Core Benefits of Predictive Maintenance after Vibration Analysis
    10 Min Read
    How Does Data Mining Boost Customer Satisfaction in Logistics? Harnessing Analytics for Results -- AI-generated illustration
    How Does Data Mining Boost Customer Satisfaction in Logistics? Harnessing Analytics for Results
    11 Min Read
    chatgpt image jul 13, 2026, 04 23 45 pm
    How Data Analytics Helps Companies Improve User Engagement
    19 Min Read
    chatgpt image jul 13, 2026, 03 59 46 pm
    How Data Analytics Improves Multi-Location Search Strategies
    10 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: Where Causal Clarity Matters the Most
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Data Management > Best Practices > Where Causal Clarity Matters the Most
AnalyticsBest PracticesCulture/Leadership

Where Causal Clarity Matters the Most

jaimefitzgerald
jaimefitzgerald
2 Min Read
Where Causal Clarity Matters the Most
Illustration generated with FLUX.2 [klein 4B] via Cloudflare Workers AI.
SHARE
This week, three members of the Fitzgerald Analytics team are attending, participating, and speaking at The Nexus Global Youth Summit on Innovative Philanthropy and Social Entrepreneurship in New York City.  We are here due to our enthusiasm for the event’s mission, which is to catalyze and empower a next-generation of social entrepreneurs, innovators, and philanthropists in their quest to change the world for the better.

Our lasting firm-wide commitment is to use our specialties and strengths for social sector impact.  Although most of our revenues come from corporate clients, we also help non-profits, social-entrepreneurs, and philanthropists create impact…at heavily discounted rates.  Our work in the “social-sector” is one of the most fulfilling elements of our jobs.

Attending this week will be co-founders Jaime Fitzgerald and Naoko Fitzgerald, as well as Justin Goldbach, an analyst at Fitzgerald Analytics who, among other duties, supports the Aspen Institute’s Business & Society Program.

Jaime Fitzgerald will be a panelist speaking on “New Metrics for Philanthropy and Social Impact.”  Moderated by  Brian Muraresku, an attorney at the Inter-American Development Bank and innovator in the field, it will feature the perspective of four amazing thought-leaders on the topic:  
  • Doug Mellinger, the Founder of Foundation Source
  • Laura Rawlings, Senior Monitoring and Evaluation Specialist at the World Bank
  • David Pritchard, Head of Measurement and Evaluation Specialist at New Philanthropy Capital
  • Jeni Klugman, UNDP, Director of the Human Development Report Office
The event is being hosted by Young Donor Network and Search for Common Ground.
Fitzgerald Analytics Blog
Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

From Trucks To Data: How Telematics Can Improve Freight Transportation -- AI-generated illustration
From Trucks To Data: How Telematics Can Improve Freight Transportation
Big Data Exclusive Infographic
The Airflow Problems Hiding Inside Data Centers -- AI-generated illustration
The Airflow Problems Hiding Inside Data Centers
Big Data Exclusive Infographic
Technical architecture diagram and decision framework for choosing an integration partner for data pipelines: service bus, brokers, and azure-native middleware compared
Choosing an Integration Partner for Data Pipelines: Service Bus, Brokers, and Azure-Native Middleware Compared
Development Exclusive
Technical architecture diagram and decision framework for data engineering for prize draws: building an audit trail
Data Engineering for Prize Draws: Building an Audit Trail
Big Data

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

You Might also Like

Using Analytics to Successfully Use Instagram Stories for Your Business
Analytics

Using Analytics to Successfully Use Instagram Stories for Your Business

7 Min Read
The Ever-Increasing Importance of Predictive Analytics
AnalyticsPredictive Analytics

The Ever-Increasing Importance of Predictive Analytics

3 Min Read
The Global Billboard Advertising Statistics and Dynamics
AnalyticsDecision ManagementMarket ResearchMarketing

The Global Billboard Advertising Statistics and Dynamics

5 Min Read
How Big Data and Analytics Are Changing Manufacturing for the Better
AnalyticsBig Data

How Big Data and Analytics Are Changing Manufacturing for the Better

6 Min Read

SmartData Collective is one of the largest & trusted community covering technical content about Big Data, BI, Cloud, Analytics, Artificial Intelligence, IoT & more.

Artificial Intelligence for eCommerce: A Closer Look
Artificial Intelligence for eCommerce: A Closer Look
Artificial Intelligence
From Bolts to Bots: How AI Is Fortifying the Automotive Industry
From Bolts to Bots: How AI Is Fortifying the Automotive Industry
Artificial Intelligence

Quick Link

  • About
  • Contact
  • Privacy
Follow US
© 2008-26 SmartData Collective. All Rights Reserved.
Welcome Back!

Sign in to your account

Username or Email Address
Password

Lost your password?