Data Integration in the Age of the Internet of Things

Beth Adams's picture
 By | maart 14, 2017
in big data, business analytics, data integration, Business Analytics, Data Integration
maart 14, 2017

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Because today’s companies receive large volumes of data in real time from the Internet of Things (IoT), data integration deserves to be looked at more carefully than it has been in the past.

Before you can get value from an IoT project, consider the requirement of integrating devices, business systems, and databases. Contemplate how you are going to use that data for a good return on investment with accurate and dependable analysis.

Let’s see how an organization such as yours can do this effectively. To save resources, a good way to go is to integrate IoT data into your existing systems. That makes sense, so how is that done?

Here at my company, we designed software that integrates data regardless of latency requirements or source type. One example includes a customer of ours, Cascades. Founded in 1964, Cascades produces, converts, and markets packaging and tissue products that are composed mainly of recycled fibers.

Cascades’ IT department is implementing SAP R/3 enterprise resource planning (ERP) applications at dozens of mills, plants, and paper manufacturing facilities. It’s part of an enterprise-wide strategy to reengineer financials, procurement, purchasing, production planning, warehouse management, plant maintenance, and other essential business functions.

One significant challenge in this multi-year SAP deployment involves tying its already-existing infrastructure to this new and evolving SAP environment. Cascades realized that it needed integration technology to monitor shop floor equipment as well as move data, messages, and transactions seamlessly across this complex infrastructure.

Cascades used our iWay integration software to run between its SAP and legacy systems to keep its IoT-enabled production equipment running optimally, monitor the quality of its finished goods, improve forecasting, and remove waste from the supply chain, ensuring prompt and accurate production and delivery of its products to customers. 

That’s just one of the case studies around IoT in a new whitepaper, written by the folks at RTInsights, a web resource that helps readers understand how they can transform their businesses to higher-value outcomes and new business models with IoT real-time analytics. Download the complete whitepaper, “IoT Analytics: From Data Integration to Actionable Intelligence”, and let me know what you think.