Nirvedha Smart Analytics
Descriptive
Use OLAP tools to drill down data, pivot, compare , visualize trends & correlations to understand why something is happening
What Happened?
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Correlations using asset hierarchy data
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Multi Plant comparison and benchmarking
Diagnostic
Consolidate raw information into actionable insights & do Root Cause Analysis to improve a process, service, product
Why Did It Happen?
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Fault diagnosis
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Root-cause analysis using failure codes
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Anomaly detection
Predictive
Use techniques such as Linear and logistic regression to understand trends and calculate the probability that something will happen
What Will Happen?
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When will machine fail next?
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What is remaining useful life?
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What will be future inventory levels & forecast of demand ?
Prescriptive
Use Machine Learning and Deep Learning Algorithms to recommend actions as a result of a diagnosis or a prediction
How to Make it Happen?
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Repair or replace
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Adjust maintenance actions to provide maintenance where and when it is needed