

스폰서 후원
In this episode, we dive deep into the complexities of data management within the consumer goods industry, focusing on how brands can achieve a comprehensive view of their business by connecting data across a multitude of retail, e-commerce, and supply chain partners.
Hosted by Abby Carruthers, Product Manager at Alloy.ai, the discussion features insights from Manfred Reiche, a subject matter expert in CPG data, and Matthew Nyhus, engineering team lead at Alloy.ai. Together, they break down challenges and solutions related to data normalization—a crucial process for standardizing data from various sources to ensure consistency and comparability.
From understanding product and location data normalization to tackling the intricacies of time and metric alignment, this episode explores how brands can transform their disparate data into actionable insights that drive sales growth and operational efficiency.
In this episode, you’ll learn about:
Jump into the conversation:
(00:00) Introduction to Manfred and Matthew
(06:05) Using multiple retailers, integrate data sources for consumer insights
(09:55) Technology, people, and processes in master data management for product distribution
(14:47) Matching products from different sources for rich information visibility
(19:21) Consistency in managing changing product data
(21:59) Supply chain management with flexible, tailored database design
(25:24) How automation can reduce workload by 95% for all your teams
(29:45) Knowing servicing locations and translating insights for internal teams
(31:38) Distinguishing between brick-and-mortar and e-commerce sales
(34:17) Understanding net sales across channels, including returns and tax
(40:13) Backend stores metric values
(44:02) Retail data analysis pitfalls
(47:17) Being cautious with IT assumptions
16 에피소드
In this episode, we dive deep into the complexities of data management within the consumer goods industry, focusing on how brands can achieve a comprehensive view of their business by connecting data across a multitude of retail, e-commerce, and supply chain partners.
Hosted by Abby Carruthers, Product Manager at Alloy.ai, the discussion features insights from Manfred Reiche, a subject matter expert in CPG data, and Matthew Nyhus, engineering team lead at Alloy.ai. Together, they break down challenges and solutions related to data normalization—a crucial process for standardizing data from various sources to ensure consistency and comparability.
From understanding product and location data normalization to tackling the intricacies of time and metric alignment, this episode explores how brands can transform their disparate data into actionable insights that drive sales growth and operational efficiency.
In this episode, you’ll learn about:
Jump into the conversation:
(00:00) Introduction to Manfred and Matthew
(06:05) Using multiple retailers, integrate data sources for consumer insights
(09:55) Technology, people, and processes in master data management for product distribution
(14:47) Matching products from different sources for rich information visibility
(19:21) Consistency in managing changing product data
(21:59) Supply chain management with flexible, tailored database design
(25:24) How automation can reduce workload by 95% for all your teams
(29:45) Knowing servicing locations and translating insights for internal teams
(31:38) Distinguishing between brick-and-mortar and e-commerce sales
(34:17) Understanding net sales across channels, including returns and tax
(40:13) Backend stores metric values
(44:02) Retail data analysis pitfalls
(47:17) Being cautious with IT assumptions
16 에피소드
플레이어 FM은 웹에서 고품질 팟캐스트를 검색하여 지금 바로 즐길 수 있도록 합니다. 최고의 팟캐스트 앱이며 Android, iPhone 및 웹에서도 작동합니다. 장치 간 구독 동기화를 위해 가입하세요.