Ruin Game

The task of your maintenance crews is not to solve problems, but to keep the machines running. In the current industrial environment, any interruption hurts profitability and too many competitors are waiting to capture your market share.

In modern enterprises using an ERP system like SAP, effective maintenance management depends on the quality of the underlying master data. The master data objects specific to SAP maintenance management include workstations, equipment, materials, and ranges. Creating and maintaining these records is often a very manual process, with little or no tracking of change requests, resulting in a large number of data entry errors. For the proper database maintenance of  먹튀 you can have the best choices now.

• When you have a multitude of basic data to define and manage, different people in multiple departments need to be involved in updating various objects, but much of the responsibility lies with planners and engineers. Sometimes SAP analysts are involved, or data entry agents assigned to the maintenance team. In both cases, it takes a long time to feed the system with data. In some cases, data never reaches it, especially items (for example, spare parts delivered with a machine).
• Do your planners, engineers, and other highly skilled employees spend too much time searching for information about machines and items, or entering and correcting master data in the SAP system? Poor data quality has a direct negative effect on decision-making and resource planning, and ultimately leads to higher costs, increased risk, and compliance issues.
• Give your maintenance team the power to automate their SAP data management tasks with a toolkit designed for operational users. The company enables maintenance teams to more easily and quickly ensure data accuracy as equipment and infrastructure are acquired and decommissioned. Qualified personnel dedicate their time to key maintenance planning tasks rather than data management.

Watch our recently recorded webinar to learn how to empower your maintenance teams to continually improve operational efficiency by streamlining the creation and management of machines and items.

If this liberalization is legally binding for the public sector, what about private companies? Even more reluctant to give access to their data, they too would have any interest in doing so: innovation, audits, productivity, the benefits are numerous. Such a project cannot be carried out without preparation and reflection upstream: what action plan to implement data liberalization?

Dissemination and governance

Before launching any project, it is necessary to identify the dissemination vector that will be used; It will thus be necessary to analyze and understand the type of data available and their particularities. Two options can be considered:

The first mode of diffusion is in the form of a raw file, in standardized format downloadable directly on a portal: it is about the mode of diffusion the easiest to put in place, but also the more difficult to maintain. Note that it is poorly suited to large volumes or rapidly evolving data.