Splunk’s Kevin Davis: Big Data, Analytics Tools Could Help Agencies Derive Operational Intell from Machine Data

Kevin Davis
Kevin Davis

Kevin Davis, vice president for public sector at Splunk (Nasdaq: SPLK), has said government agencies should implement big data and analytics platforms in an effort to generate insights or “operational intelligence” from machine data and facilitate the decision-making process.

Davis wrote that the collection, correlation and analysis of machine data could help organizations address security risks and issues related to information technology operations and missions.

He also discussed the characteristics of big data and cited the capability of machine learning tools to analyze large data sets as well as address the challenges related to big data attributes.

Machine learning platforms work to help organizations “build models that mimic real-world scenarios and environments, create baselines of normal activities, set dynamic thresholds to account for acceptable variances, and quickly identify anomalies based on situational context, ” Davis said.

He also urged agency leaders to adopt platforms designed to manage data collection, provide visualizations based on their objectives and “make ingestion easy without requiring explicit normalization.”

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