In general, machine data is difficult to understand and has an unstructured format (not arranged as per pre-defined data model), making it unsuitable for analysis and visualization of data. Splunk is the perfect tool for TACKLING such problems. Splunk is used to analyze machine data for SEVERAL reasons:   

• Provides business insights: The Splunk platform analyzes machine data for patterns and trends, providing operational insights that ASSIST businesses in making smarter decisions for the profitability of the organization.
• Enhances operational visibility: Splunk obtains a comprehensive view of overall operations based on machine data and then aggregates it across the entire infrastructure.
• Ensures proactive monitoring: Splunk employs a real-time analysis of machine data to discover system errors and vulnerabilities (external/internal breaches and intrusions).
• Search and Investigation: Splunk uses machine data to pinpoint and fix problems by CORRELATING EVENTS across numerous data sources and detecting patterns in large datasets.