Analysis of Using and Benefits of Big Data of Royal Thai Police Pol.Col.

Abstract

          The objectives of this study were; 1) To Analyze potential of Information Technology System of the Royal Thai Police under criteria of Big Data analysis; 2) To suggest in policy administration how to better procure Big Data by the Royal Thai Police. This research is a qualitative study by documentary research and In-Dept interviews with system programmers of Information Technology System of the Royal Thai Police in 13 persons.

          The result of the study indicated that Information Technology System of the Royal Thai Police are Big Data as; 1) Closed Circuit Television (CCTV). On the other hand, Information Technology System of the Royal Thai Police are not Big Data as; 1) Automated Fingerprint Identification System (AFIS), 2) Criminals Database Operating System (CDOS), 3) Police Identikit: Computer Assisted Suspect Sketching Outfit (PICASSO), 4) Command, Control, Communication, and Intelligence System (C3I), 5) Smart Patrol Cars, 6) Police Information System (POLIS), 7) E-COP, 3) Criminal Record Information & Management Enterprise System (CRIMES), 9) Analyst’s Notebook data (I2). 10) Bio-Metrics system.

          Benefits of Big Data (CCTV) are; 1) CCTV prevents Criminal offenses., 2) The CCTV cloud cracks down on criminal offenders. By using data of CCTV to examine Criminal offenses and identifying who the criminal offenders are can be viable evidence in a court of law., 3) The CCTV cloud inspects 24/7., 4) CCTV are more efficient than officers patrolling., 5) Veracity of Data, which means quality and reliability., 6) The CCTV has a large cloud interface and can predict criminal offenses; where, when and how they will occur. If the Royal Thai Police have a Big Data System, it will support police functions to be efficient and effective.

          Suggestions in this study are: 1) In relation to human resource management for each year, we should appoint only a 50% permission rate. For example, if we could appoint 6,000 persons, then we should appoint 50% or 3,000 persons. 2) For the remaining 3,000 persons, we use a 25% appointment rate to employ Village Police Volunteers. 3) At last for 1,500 persons, we keep this money for procurement of a Big Data System that will not burden the budget of the Royal Thai Police for each fiscal year.