Enterprise Asset Management solution paired with predictive analytics
Asset maintenance leaders—whether in a factory, utility, or public facility—are often forced to fill multiple roles, from supervising repairs and preventive maintenance to inventorying assets and projecting their lifespans. As digitalization sweeps through industries, balancing the multiple pressures of the job can be difficult. Digital concepts rely heavily on equipment upgrades like adding sensors and Internet of Things (IoT) connectivity, pulling decision-makers in multiple directions. Fortunately, technology can help streamline processes, providing the insights needed to make well-informed decisions about asset investments.
Fortunately, technology can help streamline processes, providing the insights needed to make well-informed decisions about asset investments.
The most significant value will come from the power of predictive analytics. Today, innovative business intelligence (BI) solutions can contain powerful predictive capabilities, using algorithms and data science to identify patterns in data points and project next likely outcomes. Users can explore “what if” scenarios and obtain forecasts of likely costs and likely demands.
View this webcast to learn how an EAM solution paired with predictive analytics can help an organization prioritize critical needs and discover potential gains and benefits. Learn more about:
- Predictive Analytics: experience the power of Birst with Asset Management
- Infor OS and IoT for Enterprise Asset Management