Enterprise asset management professionals depend on software such as Aptean's TabWare EAM, IBM's Maximo, Infor, MAPCON, SAP. But information access can quickly becomes challenging once the needs exceed built-in, mostly static reporting capability. The challenge increases when mashing up data from other enterprise sources such as ERP systems becomes necessary.
MetaDash's business intelligence web app creates a common data layer where data mashup is easily accomplished. Within the same web app, data can be quickly turned into visualization dashboards for online analytics and monitoring.
Enterprise asset management deals with many asset classes such as IT, equipment, and facilities. These asset classes normally have their own management systems and data stores. MetaDash allows easy mashup of these data sources and turns mashed up data into visual dashboards in one single web app.
Machine learning has been applied to asset management in many different ways. For example, machine learning can inspect past maintenance data records to predict likely failure points. This can be used by asset managers to decide spare parts inventory levels. MetaDash's machine learning can be easily mashed up with human designed analysis to bring together the best of both worlds.
Copyright © 2020, MetaCorp LLC.