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5 AWS Industrial Data Fabric: Maximize the value of your data at scale To help meet the data needs of manufacturers, AWS offers the AWS Industrial Data Fabric, a well-architected framework with prescriptive guidance that enables manufacturers to accelerate ingestion, contextualization, and the ability to act on their industrial and enterprise data across the value chain. The Industrial Data Fabric is a way of relating raw data from multiple industrial data sources into formats associated with an entity (for example, asset, equipment/ line, material, process) so that it can be easily consumed by analytics and digital applications. By providing economical, secure, and easy access to high-quality data sets, it enables business leaders to build the foundation for digital industrial transformation and optimize operations across use cases. With the AWS Industrial Data Fabric, you can ingest, store, query, analyze, and act on your data across workloads and data types to achieve desired business outcomes. The AWS Industrial Data Fabric is comprised of AWS solutions, AWS Partner Solutions (like HighByte and Element), and AWS services such as AWS IoT, AWS IoT TwinMaker, AWS IoT Sitewise, and Amazon Monitron. Manufacturers select the combination of services and solutions that's right for them to accelerate the ingestion and contextualization of industrial and enterprise data and more quickly act on that data across the value chain. Using insights derived from the AWS Industrial Data Fabric, your organization can make better decisions that improve the quality of outputs, drive innovative designs, boost supply chain resiliency, and build smarter products. For the past several years, the BMW Group has worked to stay at the forefront of the automotive industry's digital transformation by using data and predictive analytics. In 2015, the company created a centralized, on-premises data lake that collects and combines anonymized data from sensors in vehicles, operational systems, and data warehouses to derive historical, real-time, and predictive insights. However, the data lake's inability to scale made it difficult for the BMW Group to quickly deliver the innovative products its customers demand. In response to these challenges, the BMW Group decided to re- architect and move its on-premises data lake to AWS to create what it calls its Cloud Data Hub (CDH). The CDH creates the foundation for developing data-driven IT solutions and enables the company to automatically and independently scale on a serverless architecture, speeding innovation. The BMW Group plans to scale out the CDH platform's capabilities to further accelerate its digital transformation and drive additional value across the business. Read the case study › BMW Group uses AWS-based data lake to unlock the power of data