Biggest Challenges Faced By An Analytics Executive At Nationwide Financial
Nick's biggest challenge as an Analytics Executive at Nationwide is ensuring the accuracy and understanding of data, stating that "the biggest challenge is making sure you have the right data," because even the best models are worthless with bad data. This highlights the crucial role of data quality in the analytics field and the significant time investment required to obtain reliable data sources.
Data Analysis, Data Quality, Problem-Solving, Decision Making, Leadership
Advizer Information
Name
Job Title
Company
Undergrad
Grad Programs
Majors
Industries
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Traits
Nick Perri
Analytics Executive
Nationwide Financial Services Company
Arizona State University
Arizona State University (ASU) - W. P. Carey MBA, St Joseph's University MS Business Intelligence & Analytics
Spanish & Other Languages, Political Science, American Studies
Finance (Banking, Fintech, Investing), Nonprofit, Foundations & Grantmaking
Data and Analytics
Pell Grant Recipient, Took Out Loans, Worked 20+ Hours in School
Video Highlights
1. Data quality and accuracy are crucial in analytics. Inaccurate data renders even the most sophisticated models useless.
2. A significant portion of an analytics executive's time is spent identifying, verifying, and understanding the appropriate data for analysis.
3. The abundance of data available presents a unique challenge; not all data is reliable or readily interpretable.
Transcript
What is your biggest challenge in your current role?
There are the usual big challenges when working in an organization. The one unique to the analytics space is ensuring you have the right data.
Data is everywhere, but it's not always clean. You may not understand what it is, how it's being measured, or its definition.
Folks like myself often spend the most time pinpointing the right data, ensuring its accuracy, and understanding it. You can create the coolest visualizations and predictive models, but they're worthless if they rely on bad data.