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Puzzle Data

Founded Year



Series A | Alive

Total Raised


Last Raised

$1.86M | 3 yrs ago

About Puzzle Data

Puzzle Data is a data science company that develops ProDiscovery, a process mining solution in South Korea. The platform enables companies to accurately analyze current business processes and compare them with the actual and standard processes to diagnose the fits, rework, reduce costs through wasted intervals, and monitor performance for each worker or job. The data analytics tool can be applied to various fields such as public, manufacturing, medical, and logistics. The company was founded in 2015 and is based in Pohang, South Korea.

Headquarters Location

77, Cheongam-ro, Nam-gu 1F

Pohang, 37673,

South Korea


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Puzzle Data's Products & Differentiators


    ProDiscovery is a data-based process analysis solution that analyzes the event log data that records who, what, and when in the system to visualize the actual As-Is process quickly and draw insight. 30+ pre-defined process analytics modules - called 'Puzzle' - like Frequency-based map, Pattern-based map, etc. Data upload, analysis, and visualization have been automated to generate process maps, discover/visualize findings or insights in process, and generate/analyze social networking among employees or machines for defining their interaction. ProDiscovery makes it possible to identify process improvements thesis and have consensus among stakeholders about To-be process based on real data. The features(real-time process map-generating & monitoring, What-if simulation analysis, etc) are being upgraded for process enhancement.

Latest Puzzle Data News

퍼즐데이터, 신한은행에 프로세스 마이닝 솔루션 ‘프로디스커버리’ 공급

Jul 2, 2020

퍼즐데이터, 신한은행에 프로세스 마이닝 솔루션 ‘프로디스커버리’ 공급 기사공유하기 김영석 소요 시간 절감 및 업무 프로세스 개선 가능 프로세스 마이닝 기반 데이터 사이언스 전문기업 퍼즐데이터(Puzzle Data, 대표이사 김영일)가 신한은행에 프로세스 마이닝 솔루션 ‘프로디스커버리(ProDiscovery)’를 공급했다고 2일 밝혔다. 프로디스커버리는 퍼즐데이터가 자체 개발한 프로세스 마이닝 플랫폼이다. 신한은행은 프로디스커버리 도입으로 직원들의 업무 기록 순서와 빈도를 종합·분석하는 데 소요되는 시간을 절감하고 업무 프로세스의 개선이 가능하게 됐다. 또한 업무 기록을 시각화한 이미지 맵을 통해 업무 흐름, 각 업무별 처리 소요시간, 병목구간, 중복 작업 구간 등도 확인할 수 있다. 실제로 신한은행은 프로디스커버리를 통해 영업점의 업무 로그를 분석해 보증서 위탁발행, 수출환어음매입관리 업무가 타 업무대비 2배 이상의 시간이 소요됨을 확인했다. 이는 업무 프로세스 분석 및 최적화를 통해 빠르게 개선 가능한 영역으로 앞으로 이런 과정들을 통해 영업점과 본부 부서 직원의 업무 편의성 개선은 물론 고객 경험 향상을 위한 혁신이 진행될 예정이다. 퍼즐데이터 김영일 대표이사는 “신한은행의 고객중심 디지털 혁신의 일환으로 프로디커버리가 선정되어 매우 기쁘게 생각한다”며 “최근 프로세스 마이닝이 디지털 트랜스포메이션을 위한 첫 단추로서 각광을 받고 있는 만큼 진정한 고객 만족을 이룰 수 있도록 노력하겠다”고 말했다. 한편 퍼즐데이터는 국내 프로세스 마이닝 산업 리딩컴퍼니로서 최근 시리즈 A 투자 유치를 완료했다. 2017년부터 매년 300% 이상 매출 신장을 기록하고 있으며, 가트너 ‘프로세스 마이닝 마켓 가이드(Market Guide for Process Mining)’의 대표 기업으로 2년 연속 선정된 바 있다. 프로디스커버리(ProDiscovery) 활동 패턴 분석 사진=퍼즐데이터

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Puzzle Data Frequently Asked Questions (FAQ)

  • When was Puzzle Data founded?

    Puzzle Data was founded in 2015.

  • Where is Puzzle Data's headquarters?

    Puzzle Data's headquarters is located at 77, Cheongam-ro, Nam-gu, Pohang.

  • What is Puzzle Data's latest funding round?

    Puzzle Data's latest funding round is Series A.

  • How much did Puzzle Data raise?

    Puzzle Data raised a total of $2.36M.

  • Who are the investors of Puzzle Data?

    Investors of Puzzle Data include Hi Investment Partners, Enlight Ventures, Samsung Ventures, Hyundai Venture Investment Corporation, K-Growth and 6 more.

  • Who are Puzzle Data's competitors?

    Competitors of Puzzle Data include Celonis and 2 more.

  • What products does Puzzle Data offer?

    Puzzle Data's products include ProDiscovery.

  • Who are Puzzle Data's customers?

    Customers of Puzzle Data include Shinhan Bank and Amway Korea.

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