Achieve Sustainability in Manufacturing with AWS Databases

As organizations embrace the dual mission of profitability and sustainability, efforts to mitigate climate change are at the top of the agenda. Sustainability has already become an integral part of business decision making; consumers and corporate purchasers increasingly consider carbon footprints when they make buying and investment decisions per a McKinsey study. Industry 4.0 solutions are increasingly seen as a catalyst for sustainable manufacturing by helping factories run in a more energy-efficient manner, and with fewer carbon emissions as a result.

The challenges

Due to the adoption of industry 4.0 solutions to achieve sustainability within the manufacturing industry, companies with manufacturing in their value chain generate huge amount of data. This data will come from a variety of sources, including sensors, machines, and systems throughout the manufacturing process, and provides valuable insights for reducing costs, optimizing productivity, and improving efficiency. The challenge for manufacturers will be to effectively store, manage, and analyze this data to derive meaningful insights to achieve sustainability goals. As a result, these companies are in a unique position to benefit from database modernization.

Database modernization is the process of updating and modernizing existing legacy databases to be more efficient and effective. It involves replacing outdated and expensive database management software, aging hardware, and low resilience systems with more reliable, scalable, flexible, and powerful solutions that can meet the data needs of the business now, and in the future, at an optimized cost. By doing this, manufacturers can reduce energy and maintenance costs, increase efficiency, and improve sustainability.

Value of database modernization on AWS

Amazon Web Services (AWS) enables customers to build sustainability solutions ranging from carbon accounting to energy conservation to waste reduction – using AWS services to ingest, store, contextualize and act on sustainability data. AWS has a comprehensive set of purpose-built AWS Cloud Databases that manufacturing companies can adopt to glean valuable insights from their manufacturing data to drive energy efficiency, reduce energy costs, and meet regulatory compliance to continue operations. By modernizing legacy commercial databases to AWS purpose-built databases, manufacturing companies are achieving their goals on AWS.

Energy cost reduction

One of the most important benefits of database modernization on AWS for manufacturing companies is energy cost reduction. By deprecating data centers, replacing outdated systems with more efficient and reliable ones in the AWS cloud, manufacturers can significantly free up resources, reducing energy consumption. This can help them reduce their overall energy costs and make their operations more sustainable. Amazon Aurora and Amazon DynamoDB offer serverless capabilities that provide capacity on-demand, high resiliency, and flexibility to pay only for what you consume while having real-time access to your data. Learn how Coca-Cola İçecek Saves Energy and Improves Operational Performance Using AWS IoT SiteWise and Amazon DynamoDB.

Optimization of production processes

Another benefit of database modernization is the optimization of production processes. By migrating and modernizing their databases, manufacturers can improve their production lines and reduce the amount of time it takes to complete tasks with limited staffing. In addition, they can improve collaboration between teams. This can help them increase productivity and output while saving energy. Amazon Timestream, a serverless time series database, can be used for IoT data analytics in near real time to reduce waste in manufacturing. Amazon Aurora and Amazon DynamoDB are managed databases that can be used to store data accessed by teams for better collaboration to solve complex production issues. Both databases are highly durable and secure – ensuring data accuracy and availability. Learn how SKF used Amazon DynamoDB and other Services on AWS to Optimizes Production Processes.

In conclusion, database modernization can help manufacturing companies reduce emissions and energy costs. By taking advantage of more efficient and reliable AWS purpose-built databases, manufacturers can reduce energy consumption, increase productivity, and reduce their carbon footprint. Database modernization is an important step towards becoming more sustainable and environmentally conscious at an optimized cost. Manufacturers are invited to leverage database modernization to become more energy efficient and achieve their goals.