Updated: Mar 6, 2020
Our journey started in 2018, we were asked by a large food manufacturer to present a multi year plan to modernize and augment their R&D and Consumer Insights operation. Our proposed solution was, in essence, automating and predicting key tasks within the new product development process via a modern toolkit and suite of best in class DIY software tools. We took a holistic approach, digging deep, conducting internal employee diligence sessions to identify specific areas within the new product development process to identify where data was being used improperly or not at all.
Process improvements, strategic agility and innovation requires large centralized product data.
It was during these diligence sessions that we uncovered one ground truth: the organization both within R&D and Marketing did not view data as an asset. In fact, it was viewed as nothing more than a monumental pain. After the diligence sessions we understood why, their data was poorly managed, data governance appeared non-existent. The internal standards for storing data in a central cloud location was at odds with the use cases on the R&D, Marketing and Innovation teams.
Throw that food data in the data lake!
It was clear that a one size fits all approach was failing. Chefs and food scientist were generating data in the test kitchens they weren’t using or had extreme difficulty managing consistently across multiple users. The outcome of poor product data governance and storage forced R&D, Marketing and Innovation professionals into many manual tasks and desk research.
Innovation and renovation projects require data.
Rarely, if ever, do chefs and food scientist have a carte blanche to develop a new recipe for whatever category they want. The business mandates them a focus in a particular strategic area. Despite the business mandating those market categories to enter or disrupt, the R&D team specifically the chefs and food scientist, had an alarmingly low understanding or access to market data. In fact, we repeatedly heard from chefs and food scientist that they would often spend weeks of manual desk research to try and define the category and collect data that would help them in their upcoming projects. The data they were manually collecting would be highly relevant for them to make informed ingredient and strategic portfolio decisions based on factors like competition, health, flavor pairing, nutrition labels.
Data doesn’t have to be a headache, in fact, it's your most valuable asset.
Chefs and food scientist create winning products when they are given the opportunity to take risks. This is clearly evident by the wave of food and beverage startups stealing market share from legacy brands by using data to take risks and innovate with their ingredients and product portfolios geared to niche segments. Rethink what's possible with our Kiwi Metrics and let us unlock both growth and process improvement for your organization at scale.
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