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PRODID:-//ACFE Indonesia - ECPv6.10.0//NONSGML v1.0//EN
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METHOD:PUBLISH
X-ORIGINAL-URL:https://acfe-indonesia.or.id
X-WR-CALDESC:Events for ACFE Indonesia
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X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:Asia/Krasnoyarsk
BEGIN:STANDARD
TZOFFSETFROM:+0700
TZOFFSETTO:+0700
TZNAME:+07
DTSTART:20170101T000000
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BEGIN:VEVENT
DTSTART;TZID=Asia/Krasnoyarsk:20171006T080000
DTEND;TZID=Asia/Krasnoyarsk:20171007T170000
DTSTAMP:20261020T065817
CREATED:20170905T041736Z
LAST-MODIFIED:20170925T075927Z
UID:4213-1507276800-1507395600@acfe-indonesia.or.id
SUMMARY:Workshop "Fraud Prevention and Detection : Forensic Data Analytics Approach "
DESCRIPTION:Tempat : Novotel Hotels & Residence Palembang\nTanggal : 6-7 Oktober 2017\nBiaya Investasi : \nMember Rp 5.000.000\,-\nNon Member Rp 6.000.000\,-\nUntuk formulir pendaftaran dapat didownload dibawah ini. \n \n  \n  \nInformasi lebih lanjut dapat menghubungi Secretariat ACFE Indonesia Chapter
URL:https://acfe-indonesia.or.id/event/workshop-fraud-prevention-and-detection-forensic-data-analytics-approach/
LOCATION:Novotel Hotels & Residence Palembang\, Jl. R. Sukamto No.8A Palembang\, Palembang\, sumatera selatan\, 30164\, Indonesia
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Krasnoyarsk:20171011T080000
DTEND;TZID=Asia/Krasnoyarsk:20171011T170000
DTSTAMP:20261020T065817
CREATED:20171011T065145Z
LAST-MODIFIED:20171011T071216Z
UID:4318-1507708800-1507741200@acfe-indonesia.or.id
SUMMARY:Using Data Analytics To Detect Fraud
DESCRIPTION:Using Data Analytics To Detect Fraud\n\n\n\n\n\nCPE Credits: 16 \nJakarta\, Indonesia | December 4-5\, 2017 \nAccording to the ACFE’s 2016 Report to the Nations on Occupational Fraud and Abuse\, proactive data monitoring and analysis is among the most effective anti-fraud controls. Organizations which undertake proactive data analysis techniques experience frauds that are 54% less costly and 50% shorter than organizations that do not monitor and analyze data for signs of fraud. \nUsing Data Analytics to Detect Fraud will introduce you to the basic techniques of uncovering fraud through data analysis. Taking a software-independent approach\, this two-day course provides numerous data analytics tests that can be used to detect various fraud schemes. You will also discover how to examine and interpret the results of those tests to identify the red flags of fraud. \nLearn More\nBrochure\n 
URL:https://acfe-indonesia.or.id/event/using-data-analytics-to-detect-fraud/
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