Melville, NY – 26 September 2016 – SPENCERMETRICS LLC, the leading provider of real-time press productivity analytics, announced the availability of the spencermetrics® connect® Application Program Interface (API). This will allow third-party software vendors and end-users to integrate the connect productivity software within their production ecosystem.
The innovative connect system has simplified the collection of valuable digital print production data by merging data streams coming automatically from the press controllers and the shop floor. connect’s breakthrough automation and ease-of-use eliminates all the complexity associated with data collection, making it extremely valuable for printing companies looking to harness the power of data analytics. The spencermetrics analytics engine converts this data into actionable information for reducing costs, increasing productivity, and driving continuous improvement.
The release of spencermetrics connect API unlocks the true potential of big data analytics for print service providers. With the connect API, this data can now be shared with other production management systems. The API enables other software applications to seamlessly ingest digital production data from spencermetrics connect, allowing for automatic and efficient data transfer. Utilizing the API, print service providers can integrate connect data with their Print MIS, ERP, Web-to-Print, home-grown tracking systems and other production printing management software.
The spencermetrics connect API is based on state-of-the-art software development technologies that facilitate easy and secure data transfer. Using REST (Representational State Transfer) architecture, the connect API responds to simple HTTP calls to enable retrieval of valuable data such as real-time production log and actual job cost data. The production log includes information regarding print time, job names, impressions/pages printed, processing time, waste, as well as shop floor downtime data such as service, repair, maintenance, delays, etc. This information can be used to track activities by operators or shifts, determine actual job costs, and monitor overall press and operational productivity.
