This post is part of a series - Where is the Data- exploring the "Supply Chain of Data." It explores the role of maintaining data about food from its growth to the store shelf. EkaLore has helped companies look at the overall process, distinct from the tools.
Enterprises are working to broaden appeals to premium customers, bring new products to an emerging general customer base, and set themselves apart from other retail food sales. Each of these objectives is addressed by offering Certified Organic and other specific sub-types of foods to their traditional retail food customers. These needs are everywhere – highly regulated US, EU, and UK markets, the daily food stalls, and Walmart in China. Food quality (looked at by consumers, governments, or religious authorities) is an expectation everywhere.
Enterprises looking for agility (responding to perceived market opportunities or shifts in demand) have to prepare to meet the new needs for data and product. Setting up a data cycle is as much a requirement to bring the new product to market as the chain of refrigeration or re-packaging.
Enterprises looking for resilience have to establish data cycles ready to:
· Multiple sourcing requiring qualifying and setting up business processes,
· Contingency planning and risk operations for exceptions, breaches, or product failures
· Transitions between different marketspaces and jurisdictions as rules and needs change.
Together all the work to use agility and build resilience is the foundation to establish business sustainability for the new products. For the products to be sustainable, the data cycle requires investment, development, implementation, deployment, maintenance, and performance measurement. The spend and business tasks to sustain the products are as critical as the spend and work to use agility to add the products and the resilience to make them a stable and consistent offering.
These approaches to Where is the Data are used to provide a consistent and efficient process to extend and expand. Even the largest retailers in food (Walmart, Target, Krogers, Aldi, Trader Joe's, and Costco) have learned lessons as they expanded into these product areas and failed to expend sufficient efforts to ensure the Supply Chain of Data. Prior approaches using traditional barriers to liability, government investigations, and damage to reputations are no longer sufficient. Online eCommerce/AppCommerce, institutional/commercial food service, self-checkout, credit/EBT payments, and other shopping practices can now create traceability of data from the grower to the final consumer.
The next post in this series will dive a little deeper into the complications of running the Supply Chain of Data. You’ll be able to find the next post at www.ekalore.com/ars
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