A “dashboard” is the set of business indicators which allow key users of a company to control and make adequate decisions about that company’s operations. This system informs us about the evolution of fundamental parameters of the business.
The indicators will be specialised according to the area of the business to be analysed: financial, commercial, production, logistics, quality, maintenance and more.
Our experience within the industrial sector enables us to advise clients about the best practices in this field, designing and implementing a personalised dashboard system for each company which deals, in an integrated manner, with both management and plant operations.
Cyber-security in industry is an increasingly relevant topic considering that that plants are, after all, critical systems. Production equipment and networks (Operational Technologies–OT) are now no longer isolated. This trend is difficult to stop and forces a rise in interconnection between systems. In the world of information technology, cyber-security tools are evolving rapidly, largely spurred by Internet security issues. Cyber-security solutions can, in many cases, be applied to production equipment (OT), especially when working with non-time-critical solutions. However, at the end of the day, it is now necessary to focus on various different layers of security (Multi-layer cyber-security”). At the Alliance, we use the “Cyber-security by design” approach which introduces security systems on different levels, from the device to the application.
Monitorisation of plant equipment allows integrated access to all of the information generated by different equipment and plant machinery and allows decisions to be made in real time.
A plant monitorisation system manages all of the information involved in the productive process: manufacturing orders, staff or the status of machines and processes, including incidents and alerts. It also provides the means for the integration of information obtained through machines with management applications (ERP and MES).
Among the typical features of a system with these characteristics are: the collection of plant data in real time, process modelling or the visualisation of production lines and the creation of dashboards, personalised according to the necessary indicators of the plant.
BI (Business intelligence)
Organisations currently handle a volume of data that would have been unimaginable only a few years ago. As a consequence of this, the capacity to collect data and information has increased on a daily basis and is now an essential asset of organisations.
Business Intelligence involves managing data to be transformed into knowledge of the business through the visualisation of correlations, associations, classifications, regressions and predictions.
One of the most important challenges is analysing unstructured data which can occasionally have a very high value and can also be analysed in real time (including, for example, certain behavioural traits of a machine).