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GEOSMART ASIA 2016 18 OCTOBER 2016 1. Introduction 2. Importance - PowerPoint PPT Presentation

GEOSMART ASIA 2016 18 OCTOBER 2016 1. Introduction 2. Importance of Data Analytics in Emergency Services 3. Example of Data Analytics in Emergency Services in Malaysia 4. Way Forward for Data Analytics in Emergency Services in Malaysia 5.


  1. GEOSMART ASIA 2016 18 OCTOBER 2016

  2. 1. Introduction 2. Importance of Data Analytics in Emergency Services 3. Example of Data Analytics in Emergency Services in Malaysia 4. Way Forward for Data Analytics in Emergency Services in Malaysia 5. Conclusion 2

  3. Our Vision : Enable and Create Connected and Informed Society. Our Mission : connect Malaysian citizen • drive Digital Economy • develop Informative Society • empower Creative Industry • Objective : Provide comprehensive and inclusive • communications infrastructure, develop digital economy, empower and expand creative industry, profound delivery and strategic information dissemination. 3

  4. Ministry of Communications and Multimedia Malaysia respo pons nsibl ble for 1. Communications and Multimedia Industry 2. Broadcasting and Media Industry 3. Personal Data Protection 4. Domain name 5. Postal and Courier Service 6. Digital Signature 7. Others related to contents of communications and multimedia. 4

  5. Mal alay aysian sian Em Emer erge gency ncy Res esponse ponse Ser ervice vice (M (MER ERS) S) MERS 999 consolidates 5 emergency agencies under 1 ICT platform: – Royal Police of Malaysia – Fire and Rescue Department Ministry of – Ministry of Health Communications and – Civil Defence Multimedia Malaysia – Malaysia Maritime Enforcement Agency is the SPONSOR for MERS 999 5

  6. Bac ackground kground of of ME MERS S 99 999  3 rd May 2007: Cabinet had made a decision to implement only one number for emergency. 15 th May 2007: formation of Government Steering  Committee for Emergency Response Service 999. On 15 th June 2007: new concept of Malaysia  Emergency Response Service (MERS) 999 presented to National Chief Secretary. Previously, there were 4 or more emergency  Emergenc ncy y Managed d By numbers managed by multiple agencies – 999, 991, Numbers rs 994 dan 112. For Sarawak and Petaling Jaya managed by Police. The rest of 999 the country were managed by  Starting 1 st October 2007, these numbers are Telekom Malaysia. consolidated to one emergency number 999 with the 991 Civil Defence slogan “One Nation One Number” and later is known as “ 1Malaysia 1Number ” . 994 Fire and Rescue Department 112 Cellular Operators 6

  7. MER ERS S 99 999 S 9 Sta takeh eholders olders 1. Royal Malaysia Police 2. Fire and Rescue Department 3. Hospitals Emergency 4. Civil Defence Agencies 5. Maritime Enforcement Agency Federal Agencies Public 1. National Disaster Mgmt Agency 2. Economic Planning Unit 3. Malaysian Administrative Modernisation & Management Planning Unit 4. Ministry of Communications and Multimedia Malaysia 1. TM 5. Malaysian Communications and 2. Cellular Multimedia Commission Operators 7

  8. KPI Fo KP For Em r Emer ergency gency Cal all Ta Taking ing KPI for 999RC according to The Communications and Multimedia Act (1998) : 100% calls received will be  answered within 20 seconds 90% calls will be answered  within 10 seconds 8

  9. MERS RS 99 999 Ev 9 Even ent t Code des INCID IDENT ENT CALL CARD D + COPY CALL REMARK RK VOICE CARD 1 MEDICA CAL HOSPITAL TAL - - 2 CRIME POLICE ICE - - 3 FIRE FIRE DEPT. POLICE ICE - 4 ROAD D ACCIDENT CIDENT POLICE ICE - IN KL: POLICE ICE TRAFFIC IC KL 5 ACCIDE CIDENT NT + VICTIM IM HOSPITAL TAL POLICE ICE - 6 ACCIDE IDENT NT + HAZMAT AT FIRE DEPT. POLICE ICE - 7 HUMANITAR ITARIAN IAN SERVICE ICE CIVIL DEFENC NCE - - 8 SEARCH & RESCUE FIRE DEPT. POLICE ICE - 999 RESPON ONSE SE 9 SILENT NT CALL - POLICE ICE : FOR SUSPICIO CIOUS S CTR. CTR. CALL 999 RESPON ONSE SE 10 10 DROP CALL - POLICE ICE : FOR SUSPICIO CIOUS S CTR. CTR. DROP CALL 11 11 SPECIAL CIAL SERVICE ICE BOMB MBA - - 12 12 PRIVAT ATE E SERVICE CE PRIVAT ATE E - - AMBULANCE ANCE 13 ENFOR ORCE CEME MENT NT AT SEA MARITI TIME ME POLICE ICE - 14 EMERGENC ENCY AT SEA MARITI TIME ME POLICE, - HOSPITAL, FIRE DEPT., CIVIL 9 DEFENCE

  10. MER ERS S 999 Med edical ical & F & Fire re Pr Prot otoc ocols ols  Malaysia is the FIRST country in the region to implement online Medical Protocol in emergency services.  Used by more than 30 countries with language translation.  Language translation include in Chinese, Arabic, Tamil, Spanish, German, Bahasa Malaysia , etc.  Implemented Medical Protocol since June 2011 and implemented Fire Protocol since March 2013 . 10

  11. Ab Abun undanc dance e of of data ta in in ME MERS S 99 999 Millions of emergency calls were made to MERS 999 Response Center every month… 1. Abundance of IMPORTANT DATA collected everyday. 2. One of the important data is the location of the emergency incident . 3. The data can be analyzed to study for root cause of the emergency incident • improve emergency service. • • the pattern of emergency incident at certain critical locations . 11 11

  12. 1. Introduction 2. Importance of Data Analytics in Emergency Services 3. Example of Data Analytics in Emergency Services in Malaysia 4. Way Forward for Data Analytics in Emergency Services 5. Conclusion 12

  13. Why is data analytics important in Emergency Services? 1. To identify new technologies which leads to more efficient operations  more people can be saved  13

  14. Why is data analytics important in Emergency Services? 2. Cost reduction for operations significant cost advantages when  it comes to storing large amounts of data more efficient ways of doing  operations 14

  15. Why is data analytics important in Emergency Services? 1. Faster, better decision making . make decisions based on • trends, incidents and artificial intelligence. 15

  16. Why is data analytics important in Emergency Services? 1. To evaluate how the services being used and improve the service. how much resources being • utilized location of the incidents • pattern 16

  17. 1. Introduction 2. Importance of Data Analytics in Emergency Services 3. Example of Data Analytics in Emergency Services in Malaysia 4. Way Forward for Data Analytics in Emergency Services 5. Conclusion 17

  18. Exa xamp mple le of of eme mergenc rgency y data ta Emergency Calls by Locations If the data were 25,000 CITY TOTAL CASE presented in the 1. Kuala Lumpur 20,790 form how many 2. Johor Bahru 5,707 20,000 emergency calls 3. Melaka 5,249 were made from 4. Seremban 3,941 different location in 5. Alor Setar 3,675 15,000 Peninsular 6. Kuantan 3,345 Malaysia… 7. Petaling Jaya 3,037 8. Georgetown 2,907 10,000 9. Bayan Lepas 2,699 10 Kota Bharu 1,466 …it is not so 11 K. Terengganu 1,177 5,000 significant for 12 Sg. Petani 1,113 analytics… 13 Batu Pahat 734 0 14 Tg. Malim 4 15 K.Perlis 75 16 Kangar 903 However… 17 Kuala Krai 364 18 Pengkalan Chepa 166 19 Muar 853 20 Mersing 46 21 Segamat 428 18

  19. ..the same data can be analyzed and presented geographically for better decision making… Emergency Calls for Ambulance BANDAR JUMLAH KES 1. Kuala Lumpur 20,790 2. Johor Bahru 5,707 3. Melaka 5,249 4. Seremban 3,941 5. Alor Setar 3,675 6. Kuantan 3,345 7. Petaling Jaya 3,037 8. Georgetown 2,907 9. Bayan Lepas 2,699 10 Kota Bharu 1,466 11 K. Terengganu 1,177 12 Sg. Petani 1,113 13 Batu Pahat 734 14 Tg. Malim 4 15 K.Perlis 75 16 Kangar 903 17 Kuala Krai 364 18 Pengkalan 166 Chepa 19 Muar 853 20 Mersing 46 21 Segamat 428 19

  20. Exa xamp mple le of of eme mergenc rgency y data ta Emergency Calls by Locations Emergency Calls by Locations CITY TOTAL 2,500 CASE 1. Kota Kinabalu 1,080 2. Sandakan 837 2,000 The data were 3. Tawau 811 presented in the 4. Penampang 289 1,500 form how many 5. Lahad Datu 144 emergency calls 6. Menggatal 137 were made from 7. Putatan 135 1,000 8. Inanam 58 different locations 9. Kudat 58 in Sabah and 500 10 Kuching 2,473 Sarawak… 11 Sibu 527 0 12 Miri 278 13 Kota Samarahan 229 14 Bintulu 206 15 Lutong 57 16 Sarikei 47 17 Kapit 26 18 Serian 26 20

  21. The same data can be analyzed and presented geographically for better decision making… BANDAR JUMLAH KES 1. Kota Kinabalu 1,080 2. Sandakan 837 3. Tawau 811 4. Penampang 289 5. Lahad Datu 144 6. Menggatal 137 7. Putatan 135 8. Inanam 58 9. Kudat 58 10 Kuching 2,473 11 Sibu 527 12 Miri 278 13 Kota Samarahan 229 14 Bintulu 206 15 Lutong 57 16 Sarikei 47 17 Kapit 26 18 Serian 26 21

  22. Exa xamp mple le of of eme mergenc rgency y data ta BANDAR DAR JUMLA LAH H KES 1 AMPANG 1377 2 BANDAR BARU BANGI 252 3 BANDAR PUNCAK ALAM 24 4 BANGI 141 5 BANTING 352 6 BATANG BERJUNTAI 93 7 BATANG KALI 67 8 BATU ARANG 14 9 BATU CAVES 538 10 BERANANG 99 11 BKT ROTAN 1 12 CHERAS 593 13 CYBERJAYA 166 14 DENGKIL 226 15 GOMBAK 505 16 HULU KLANG 453 17 HULU LANGAT 235 22

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