What happens to undeliverable mail, unclaimed mail packages and lost packages for sale? This episode explores mystery box packages, Amazon liquidation boxes, postal return-to-sender reasons and why packages go missing in the first place. Daniel and Anna also break down address verification, address data quality, checkout address autocomplete, batch address verification and failed delivery prevention to show how businesses can reduce lost packages, shipping address errors and delivery exceptions through better ecommerce address accuracy. Thoughts or questions? Email us at [email protected].

Melissa Data Science Intern, Annalise Ahn, joins Daniel and Anna to discuss

her journey into data science, machine learning and computer science at UC San Diego. The conversation explores how data wrangling, data preprocessing, exploratory data analysis and data visualization transform raw information into meaningful insights and compelling data storytelling. Annalise also shares experiences working with spatial sales analysis, animal shelter datasets, and the importance of data quality, curiosity and continuous learning. Along the way, the team talks muffins, naps, BBQ and why baking may be the perfect hobby for an aspiring data scientist. Have thoughts or questions? Email us at [email protected].

What do Google Maps, ride-sharing apps, Pokémon GO, emergency response systems and sea turtle conservation have in common? GIS. In this episode, Daniel and Anna break down what GIS is, its definition and how Geographic Information Systems power everyday life through GIS mapping, spatial analysis and location intelligence. They cover geospatial data, digital mapping and GIS layers, and how points, lines, polygons and rasters build real-world maps.

They also touch on the history of GIS and how it evolved into modern geospatial technology. You’ll hear real-world GIS applications and use cases across logistics, retail, government, agriculture and environmental science. If you’ve ever wondered what GIS is used for or why it matters, this episode connects it all. Questions or comments? Email us at [email protected].

Identification numbers are everywhere from ISBNs and VINs to UPCs and

driver’s licenses. In this episode, Daniel and Anna explore how Melissa Keys like MAK Melissa Address Key, MEK Melissa Enterprise Key and MIK Melissa Identity Key help businesses standardize records, support address and business data deduplication, and improve customer data management across systems. They also discuss global address identifiers, address standardization, latitude/longitude enrichment, non PII identifiers and secure ways to share and match data without exposing sensitive information. From tracking address changes over time to improving enterprise data accuracy, this episode highlights how better identifiers lead to cleaner, more connected data. Have thoughts or questions? Email us at [email protected].

Ashley shares her journey from pre-med to becoming a data scientist, what data scientists do day to day and how storytelling with data helps businesses make smarter decisions. The episode covers exploratory data analysis (EDA), statistical significance, correlation vs causation, avoiding confirmation bias, data cleaning techniques, ETL processes, machine learning concepts and data driven decision making. Bonus: hiking, baking, national parks and the dream of squeaky-clean data.

Perfect for anyone interested in data science career paths, STEM careers, analytics, hypothesis testing, research methodology and how to think like a data scientist. Questions or comments? Email us at [email protected].

Choosing a car isn’t random - you weigh needs like fuel type, seating, budget, features and brand. Businesses do the same thing with customer segmentation: just like personal buying decisions, they use data segmentation, marketing segmentation and audience segmentation to turn “one size fits all” into more personalized, targeted marketing. Listen in as Daniel and Anna break down how companies apply demographic, behavioral and location-based segmentation (like ZIP code and radius targeting) to improve precision marketing, reduce waste and build more relevant customer outreach across B2C and B2B. They also touch on firmographic and business segmentation using attributes like company size, job title and sales volume. Ultimately, better data leads to better targeting, stronger engagement and improved marketing ROI. Have thoughts or questions? Email us at [email protected].

Daniel and Anna break down how to choose an address verification provider and what matters in address verification and address validation across logistics, finance and customer data. Clean data helps reduce shipping errors and improve delivery accuracy. They introduce the AEI framework: Accuracy, Experience, Implementation - covering global address verification, USPS address verification, CASS certified address verification and the core differences in validation vs. verification, address data sources and address accuracy. If you're evaluating providers or just trying to avoid bad data, this is a good place to start. Have thoughts or questions? Email us at [email protected].

Daniel and Anna sit down with Melissa’s Research and Development Director in our Seattle office Philip Ljubicich to talk about the nitty gritty when it comes to figuring out address data. They get into the nuances of standardizing addresses like how to go about capturing the user’s intent when they enter addresses, how to utilize new tools as they come out

(such as AI) to get better and faster results, and how human context is crucial to creating the best, most accurate address engine. We’d love to hear your thoughts! Email us at [email protected].

This episode, Daniel and Anna get into the nitty gritty of global address verification. They talk about US vs global address formats, chat about international address components, and discuss some global addressing challenges like how to handle non-Latin characters in addresses and right-to-left address formatting. Have any thoughts about international address verification you want to share? Email us at [email protected].

For episode 8, we’re diving into AI! Daniel and Anna have a candid and important conversation with Bob Stanley, Senior Director of Special Projects at Melissa, about the importance of AI and data quality, and how crucial clean data for AI is. Bob also explains different ways that AI might help you, AI deployment strategies, AI in business operations, AI best practices for organizations, and how Melissa has found success with AI. Want to add to our AI discussion? Email us at [email protected]