Manufacturing facilities require integration of information regarding manufacturing assets, distribution channels, manufacturing and transportation costs, warehousing capabilities, and financial targets. Information for these analyses resides in distributed modules including manufacturing asset databases, ERP systems, local sources of cost information, and local scheduling tools.
One of the new challenges the manufacturing industry faces is the integration of data from devices and sensors, referred to as the “Internet of Things” or IoT for short. Stone Bond has been conquering this challenge longer than anyone else around, before it even was termed IoT. No one has more experience configuring APIs for sources deemed by most to be too difficult to integrate.
The Enterprise Enabler®, is a Hyper Converged Integration platform, meaning it is capable of handling ALL types of integration configurations such as ETL, ESB, EAI, and Data Virtualization from ONE single place. No switching between tools and views. This dramatically improves the time-to-value of integrations by reducing complexity. Several manual data entry steps are replaced, opportunities for error are eliminated, and the real-time data capture and integration can speed the process of getting current data snapshots to the modeling system. The Enterprise Enabler platform can configure to ANY diverse set of structured and unstructured data sources, which include sensor and IoT data, operational and business data, external vendor databases and other proprietary data formats, to provide a unified view of data that can be quickly leveraged for faster and more accurate decision making.
At the core of Enterprise Enabler® (EE) is an engine that performs, in a single pass, data access from multiple disparate data sources, federation and alignment of the data across those sources, and virtualization or physical movement of the data. Business Rules, filtering, and validation are performed inline also, for a smooth end-to-end data flow or query, for all integration modes such as ETL (Extract- Transform-Load), EAI (Enterprise Application Integration), DV(Data Virtualization), or SOA (Service Oriented Architecture), for example. Recent hype around virtual data models, referred to as Data Virtualization, applies only to querying data, and often only handles one or two particular data source types. In Contrast, Enterprise Enabler leverages the “virtual data model” implicitly, across all modes
Data virtualization has helped create virtual inventory views across manufacturing, warehousing, transportation and retail locations and systems to provide a real-time accurate view of where there is inventory of each product to allow merchandisers and store managers to make hourly order and stocking decisions. One of the chief benefits of virtualization technology in manufacturing is improved life-cycle management for applications. These applications are business-critical and any unplanned downtime means lost production time. In highly regulated industries, downtime can also compromise data integrity, forcing companies to destroy any product that’s in production.