Manufacturers, Energy firms reaping benefits with SAS Analytics

SAS has announced its assistance for companies such as POSCO and Shell Exploration and Production Company avoid unplanned downtime and keep production goals on target with SAS Predictive Asset Maintenance. With the added power of SAS Visual Analytics, companies can easily analyze data to find systemic root causes, ensure higher safety and protect production commitments.
 
In today’s dynamic business environment, it is important that organizations embrace a proactive approach and take forward looking decisions. Predictive analytics and data visualization techniques can help organisations in graphically exploring data, forecasting demand, identifying trends, reducing downtime and shrinking stock-outs. Organisations in the Indian manufacturing and utilities sector are embracing predictive analytics & data visualization and are reaping breakthrough business benefits,” said Sudipta K. Sen, Regional Director  South East Asia, CEO & Managing Director -SAS Institute (India).
 
Recent upgrades to SAS Predictive Asset Maintenance offer an expanded data model, greater data selection options and a flexible framework that supports various industries. With SAS Predictive Asset Maintenance, companies can extend the life of expensive assets without increasing the likelihood of equipment failures.
 
SAS Predictive Asset Maintenance can combine powerful data integration, visualization, descriptive and predictive analytics, and business intelligence to create an unbiased, big-picture view of asset performance. These capabilities increase uptime while optimizing maintenance costs and asset life cycles by predicting events that cause outages. Future asset or process failures are easier to solve because prior mitigation efforts are recorded in a centralized knowledge repository, facilitating speedy root cause analysis.