Increasing DEV Power with Augmented Coding May 31, 2023 Technological approaches and resources accelerate tasks associated with software development and maintain the quality of actions. This is Augmented Coding. Learn more
Applying data and machine learning to reimagine experiences that drive business impact From fragmented data to business results Learn more Industry landscape Innovate to stand out in a crowded market Competitive industries such like Consumer Packaged Goods, need a keen eye focused on consumer behavior to maintain prominence on supermarket shelves full of diverse brand options.To understand consumer changes and offer a more complete experience, it was necessary to implement a data science strategy to accelerate the identification of best practices to best serve the market. The background Data transformation: Extract. Load.Transform. Repeat. Nestlé, a food and beverage multinational, wanted to revamp their tech stack to provide their customers better service and experiences.It was time to be agile and bring innovative, digital experiences to the CPG market.But how do you turn fragmented data into consumer value and find solutions that deliver better customer experience ultimately impacting Nestle’s business? Challenge More data, more innovation, a better customer experience To create an effective data governance and intelligence framework, Nestle began their digital transformation journey in partnership with CI&T.Nestlé was willing to do whatever it took to generate intelligent data, more innovation, and better customer experience. Solution From fragmented data to business results. A dedicated digital transformation function was created and , composed of multidisciplinary teams whose guiding pillars are:- Innovation- Digital sales, an online and offline experiences of B2B and B2C consumers- The DataLab thats objective is to perform data analysis to generate value and insights for business solutionsThe Data Lab is an internal data science, governance and engineering operation that allows for the creation and management of new technologies and business opportunities. Since 2019, Nestle has leveraged data to support digital transformation and produce various data science assets and artificial intelligence like a product recommendation tool. Results Our Impact Culture and mindset change: multidisciplinary teams began to understand customers to develop new solutions better integrating the value chainWith Datalab, data began to be stored in an organised and structured way, supporting the understanding of behaviour, habits, needs, and wants of consumersCollective intelligence: teams have become closer to the consumer and more agile, from solution discovery process to validation and market launch 11x11: 11 new data assets created in 11 months of work, activating the value of information and empowering business areas from the data-driven mindset;Rationalised market research;A pilot project of a Whatsapp chatbot, allowing Nestlé to speak directly to the consumer;Data and fieldwork have been connected since day one. Nestlé will continue its digital transformation journey always seeking new business opportunities and ways to be more digital.