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NAVAL POSTGRADUATE SCHOOL MONTEREY, CALIFORNIATHESIS INTELLIGENCE DATA MODEL FOR ADVANCED PLANNING AIDS by Preston L. Nelson June 2023 Thesis Advisor: Second Reader:Scot A. Miller Bruce Nagy (NAWCWD)Approved for public release. Distribution is unlimited.THIS PAGE INTENTIONALLY LEFT BLANK___ NAVAL POSTGRADUATE SCHOOL | MONTEREY, CALIFORNIA | WWW.NPS.EDUForm Approved OMB No. 07040188REPORT DOCUMENTATION PAGEPublic reporting burden for this collection of information is estimated to
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01
Define the objective of the intelligence data model.
02
Identify the key data sources that will be used for analysis.
03
Establish the variables and metrics that will measure intelligence outcomes.
04
Develop a schema to organize the data into categories and relationships.
05
Populate the model with sample data for testing and validation.
06
Analyze the populated model to ensure it meets the intended objectives.
07
Iterate and refine the model based on feedback and new data insights.
08
Document the model clearly for future reference and updates.

Who needs intelligence data model?

01
Businesses looking to enhance decision-making through data-driven insights.
02
Government agencies that require analytical frameworks for intelligence and security.
03
Data scientists and analysts involved in predictive modeling and machine learning.
04
Organizations needing to structure complex datasets for better analysis and reporting.
05
Management teams seeking to evaluate performance and outcomes of intelligence initiatives.
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The intelligence data model is a structured framework used to collect, organize, and analyze data related to intelligence activities. It typically includes datasets that encompass various aspects of intelligence operations, including sources, methods, targets, and outcomes.
Organizations involved in intelligence activities, government agencies responsible for national security, and private sector entities that deal with sensitive information are typically required to file intelligence data models.
Filling out an intelligence data model involves entering relevant data into predefined fields, ensuring accuracy and completeness. This may include inputting details about sources, types of intelligence, timeframes, and operational details, usually within a specified format.
The purpose of the intelligence data model is to standardize the way intelligence information is collected, reported, and analyzed, thereby improving the efficiency of operations, enhancing decision-making processes, and facilitating collaboration between different entities.
Information reported on the intelligence data model typically includes data about the intelligence source, the nature of the intelligence, date and time of collection, analysis results, operational context, and any actionable insights derived from the data.
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