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Learn about big data technology and trends for the consumer packaged goods (CPG) and retail industries.

Blog Feature

Explore+  |  Product Updates  |  high-order attributes

Attributes for Insight and Category Management Update

My name is John Veltri, and I am a product manager at Label Insight, responsible for the success of our joint offering, Nielsen Product Insider (NPI), as well as our solution offerings of using attributes for insight and category management. I’ve been with Label Insight for a bit over two years now, where prior to leading our product efforts for these use cases, I was responsible for other joint offerings Label Insight has with our connected partners. I’ve been working within the CPG, Retail and Analytics industry for the last seven years, and am incredibly passionate about using data to innovate and bring new offerings to market in this rapidly-evolving industry. In my day-to-day, I’m constantly thinking about ways we can make it easier and faster for our customers to realize insights about their category and see more value from using Label Insight data. This could mean anything from partnering with industry powerhouses such as Nielsen to integrate derived high-order attributes (HOAs) into a portfolio of advanced Analytics offerings, making it easier for Label Insight’s customers to join high-order attributes with other data sources in their data lakes, or making it easier to analyze data directly in our Explore platform.

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Blog Feature

Explore+  |  Product Updates

Explore+ Product Update, March 2019

My name is Daniel Hawks, and I am the Product Manager for the Label Insight Explore team. We are the team responsible for the Explore data API and Explore web platform. The past four years of my career as a Product Manager have been spent in the retail and CPG industry, specifically working to help shoppers find the products they are looking for. In my work day, I spend a lot of my time thinking about grocery stores and looking at the hundreds of thousands of food products in the Label Insight database. My private life also revolves heavily around food. I love to cook, my family watches a lot of food shows on Netflix, and I’ve recently started reading memoirs of restaurant industry professionals. I am constantly searching for relatable analogies to help explain the work we do at Label Insight. I must have had food on my mind when our marketing department asked me to write this blog highlighting the work the Explore team has done this quarter. The Explore team’s primary focus is building solutions to deliver Label Insight’s product data to our customers. The two pillars at the heart of our solutions are the aforementioned Explore data API and Explore web platform.

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