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Support the entire data integration lifecycle, from jumpstarting the first project to ensuring successful mission-critical enterprise deployments.
PowerCenter forms the foundation for all your data integration initiatives, including analytics and data warehousing, application migration, or consolidation and data governance.

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  • SUPPLIER
  • Informatica
    Informatica helps you make data ready for use in any way possible, so you can put truly great data at the center of everything you do. Working with a robust ecosystem of more than 400 global partners—including the leading systems integrators, resellers, and ISVs—Informatica enables you to access, integrate, and trust your information assets and receive maximum value from your investment.
  • SNAPSHOT
  • Platform as a Service
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    Open website
  • Application Industries
  • Automotive
    Equipment & Machinery
    Other
  • Application Functions
  • Logistics & Warehousing
    Maintenance
  • USE CASES
  • Process Control & Optimization
    Process control and optimization (PCO) is the discipline of adjusting a process to maintain or optimize a specified set of parameters without violating process constraints. The PCO market is being driven by rising demand for energy-efficient production processes, safety and security concerns, and the development of IoT systems that can reliably predict process deviations. Fundamentally, there are three parameters that can be adjusted to affect optimal performance. - Equipment optimization: The first step is to verify that the existing equipment is being used to its fullest advantage by examining operating data to identify equipment bottlenecks. - Operating procedures: Operating procedures may vary widely from person-to-person or from shift-to-shift. Automation of the plant can help significantly. But automation will be of no help if the operators take control and run the plant in manual. - Control optimization: In a typical processing plant, such as a chemical plant or oil refinery, there are hundreds or even thousands of control loops. Each control loop is responsible for controlling one part of the process, such as maintaining a temperature, level, or flow. If the control loop is not properly designed and tuned, the process runs below its optimum. The process will be more expensive to operate, and equipment will wear out prematurely. For each control loop to run optimally, identification of sensor, valve, and tuning problems is important. It has been well documented that over 35% of control loops typically have problems. The process of continuously monitoring and optimizing the entire plant is sometimes called performance supervision.
    Inventory Management
    Inventory management solutions aim to automate the inventory management process and increase accuracy and reliability. Every individual inventory item that is to be tracked receives an RFID tag or other similar tracking technology. Each tag has a unique identification number that contains encoded digital data about an inventory item, for example the model and batch number. Tags are scanned by RFID or other readers. Upon scanning, a reader extracts the tag's ID and transmits it to the cloud for processing. Along with the tag's ID, the cloud receives data about the reader’s location and the time of the reading. Based on this data, an application states the location of the item with the corresponding ID, visualizes the findings and displays real-time updates about inventory items’ movements to the solution users, allowing them to monitor the inventory using a smartphone or a laptop from anywhere, in real time. There are also secondary benefits of inventory management. For example, machine learning can forecast the amount of raw materials needed for the upcoming production cycle based on the data about the inventory quantity and location, and reorder them as needed. It can also help in matching demand with supply more accurately as inventory movement is also a representation of demand.
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