OpenLegacy

JSW’s steel manufacturing is spread over multiple manufacturing plants, each home to dozens of machines of various types. Each machine has numerous sensors tracking multiple data points and supplying event data every 2-3 seconds. Types of data include field maintenance, material consumption, and machine usage. The data is saved in each machine’s database, in a proprietary manufacturer format. Then, each machine transfers data to the central Oracle databases.Although the process works, error reporting and handling are lacking. Because each machine uses its own data protocols, the data transfer processes are “closed” and there’s no standard way of reporting errors as they occur or passing error codes to other systems. Therefore some errors go unnoticed for a very long time. An example is the production of metal with incorrect dimensions. When this error goes unnoticed for a while, it results in financial losses.

Citibanamex’s digital transformation initiative was spurred by the need to keep up with the dynamic, rapidly evolving Mexican consumer banking market. The bank’s primary goal was to deliver a seamless, personalized user experience across both digital and traditional channels, including the branch network.Citibanamex knew that it would require innovative new digital offerings to improve the digital user experience.But over time these modernization projects led to an ever-increasing spiral of complexity with a bevy of in-house tools, mainframe gateways, ESBs, middleware, dispatchers, routers, and messaging queues. Each system had a different way of handling the backend legacy platform, which ironically made it harder and more cumbersome to integrate with legacy applications after each such “integration” project had finished.

Autogrill had a clear understanding of their needs and use cases for cost, working capital, margins, and more, yet we're looking for a partner to best support them in achieving their goals.For example, Autogrill’s suppliers requested access to their core data for better visibility, analytics, and effectiveness of their orders. Autogrill also required clearer anticipation of stock levels, localized costs in each market, as well as additional information about their supply chain.Autogrill knew that secure services granting real-time information from their core systems were required to serve their suppliers. However, the data resides in their IBM I (AS/400) and SAP systems, and they needed to access it in a quick, easy, and secure way without creating thousands of queries and keeping the costs low.