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href=\"https://www.snowflake.com/ko/analytics/business-intelligence/tools/\"\u003EBI 도구\u003C/a\u003E\u003C/li\u003E\n\u003Cli\u003E\u003Ca href=\"https://www.snowflake.com/ko/analytics/business-intelligence/kpi/\"\u003EKPI\u003C/a\u003E\u003C/li\u003E\n\u003Cli\u003E\u003Ca href=\"https://www.snowflake.com/ko/analytics/business-intelligence/okr/\"\u003EOKR\u003C/a\u003E\u003C/li\u003E\n\u003C/ul\u003E\n","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-size-small"}},":itemsOrder":["text_894059747","text"]},":type":"snowflake-site/components/flexible-column-container","isActiveTOC":false,"isBlogPage":false,"appliedCssClassNames":"snowflake-flexible-column-container-gray-10-bg"},"flexible_column_cont_663228916":{"id":"flexible-column-container-18471eda78","propertiesId":"hub-body","type":"2-column-60-40","alignColumns":"top","containerMaxWidth":"extra-large","topPadding":"medium","bottomPadding":"medium","spaceBetween":"small","reverseOnMobile":false,"carouselOnMobile":false,"propertiesCSSClasses":"page-section","backgroundImageOption":"none","flexible_column_content_container_1":{"additionalClasses":"longform-content","layout":"SIMPLE","id":"hub-body-content",":type":"snowflake-site/components/flexible-column-container/flexible-column-content-container",":items":{"callout__0":{"id":"text-c8f82c0d85","additionalClasses":"callout callout--general","text":"\u003Cp\u003E\u003Cstrong\u003E밸런스 스코어카드의 정의\u003C/strong\u003E\u003C/p\u003E\n\u003Cp\u003E밸런스 스코어카드는 전략적 성과를 구조화해 보여주는 관점으로, 결과 측정치와 그 결과에 영향을 미칠 것으로 예상되는 고객, 운영, 조직 요인의 지표를 결합합니다.\u003C/p\u003E","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-size-regular text-color-text-05"},"text__0":{"id":"text-8a40a38061","text":"\u003Cp\u003E1992년 \u003Ca href=\"https://www.hbs.edu/ris/Publication%20Files/10-074_0bf3c151-f82b-4592-b885-cdde7f5d97a6.pdf\" target=\"_blank\"\u003EKaplan과 Norton이 밸런스 스코어카드를 소개했을 때\u003C/a\u003E와 비교하면, 오늘날 조직은 비즈니스 운영 방식에 관한 훨씬 더 많은 데이터에 액세스할 수 있습니다. 고객 상호 작용, 운영 성과, 제품 사용량, 인력 활동, 재무 결과를 모두 더 높은 세밀도와 빈도로 측정할 수 있게 되면서, 리더가 선택할 수 있는 잠재적 지표도 훨씬 많아졌습니다. 과제는 어떤 측정치가 실제로 전략 논의에 포함되어야 하는지, 그리고 조직이 그 측정치들 사이에서 어떤 일이 일어나기를 기대하는지 판단하는 데 있습니다.\u003C/p\u003E\n\u003Cp\u003E밸런스 스코어카드 프레임워크는 조직이 이러한 선택을 내릴 수 있는 방법을 제공합니다. 재무, 고객, 내부 비즈니스 프로세스, 학습과 성장이라는 관점 전반에서 측정치는 전략적 목표와 서로 연결됩니다.\u003C/p\u003E\n\u003Cp\u003E현대 데이터 환경의 풍부함은 프레임워크를 제대로 구현하기 위한 기준도 높이고 있습니다. 과거에는 단일 보고서에서 나오던 측정치가 이제는 여러 시스템의 데이터를 결합하고, 지속적으로 새로 고쳐지며, 지역, 제품 또는 고객 세그먼트별로 분석될 수 있습니다. \u003Ca href=\"https://www.snowflake.com/en/lp/cdo-guide-measuring-ai-business-value/\"\u003ESnowflake 최고 데이터 및 분석 책임자 Anahita Tafvizi\u003C/a\u003E는 현대 CDO 역할의 일부를 “데이터를 일관되게 결과로 전환하는 시스템을 구축하고, 조직이 그 과정에서 측정하고 학습하며 적응하도록 이끄는 것”이라고 설명합니다.\u003C/p\u003E","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-color-text-05"},"title_what-is-a-balanced-scorecard":{"id":"title-v2-738d3d21a2","additionalClasses":"anchor-title anchor-title--what-is-a-balanced-scorecard","type":"heading2","lines":["밸런스 스코어카드란?"],":type":"snowflake-site/components/title-v2"},"text_what-is-a-balanced-scorecard_0":{"id":"text-6e8450513e","text":"\u003Cp\u003E밸런스 스코어카드(때로는 BSC로 약칭)는 재무, 고객, 내부 비즈니스 프로세스, 학습과 성장이라는 네 가지 관점에서 성과를 추적하는 전략 관리 프레임워크입니다. 이러한 관점은 재무 결과를 그 결과를 만들어낼 것으로 기대되는 운영 조건 및 활동과 연결합니다. 조직은 밸런스 스코어카드를 사용해 전략을 시간이 지나도 추적할 수 있는 연결된 목표, 측정치, 타깃, 이니셔티브의 집합으로 전환합니다.\u003C/p\u003E\n\u003Cp\u003ERobert Kaplan과 David Norton은 12개 기업이 참여한 1년간의 연구 프로젝트를 바탕으로, 1992년 1~2월호 \u003Ci\u003EHarvard Business Review,\u003C/i\u003E에서 밸런스 스코어카드 프레임워크를 소개했습니다. 그 출발점은 기존 재무 보고의 한계였습니다. 투자수익률이나 주당순이익과 같은 측정치는 이미 이루어진 행동의 결과를 설명하지만, 미래 성과를 좌우하는 역량, 프로세스, 고객 성과에 대한 가시성은 상대적으로 낮았습니다.\u003C/p\u003E\n\u003Cp\u003E초기 프레임워크는 스코어카드를 네 가지 질문을 중심으로 구성했습니다.\u003C/p\u003E\n\u003Cul\u003E\n\u003Cli\u003E고객은 우리를 어떻게 보는가?\u003C/li\u003E\n\u003Cli\u003E우리는 무엇에서 탁월해야 하는가?\u003C/li\u003E\n\u003Cli\u003E우리는 계속 개선하고 가치를 창출하고 있는가?\u003C/li\u003E\n\u003Cli\u003E주주에게 우리는 어떻게 보이는가?\u003C/li\u003E\n\u003C/ul\u003E\n\u003Cp\u003E이 질문들은 리더가 비즈니스의 여러 영역에서 비교적 적은 수의 측정치를 선택해 함께 검토하도록 이끌었습니다.\u003C/p\u003E\n\u003Cp\u003E이러한 차이는 지금도 밸런스 스코어카드와 일반 성과 대시보드를 구분합니다. 대시보드에는 이해관계자가 모니터링하고자 하는 매출, 서비스 수준, 직원 이직률, 제품 도입률이 포함될 수 있습니다. 반면 스코어카드는 전략적 목표에서 출발해 그 목표를 향한 진전을 보여주는 성과 측정치를 선택하며, 여기에는 선행 지표와 후행 지표가 모두 포함됩니다.\u003C/p\u003E\n\u003Cp\u003E또한 각 측정치에는 비교 기준이 필요합니다. 예를 들어 고객 유지 개선이라는 전략적 목표는 갱신율을 성과 측정치로 삼고, 해당 연도의 타깃을 설정하며, 추가 조사를 촉발하는 임계값을 정할 수 있습니다. 이러한 연결이 없으면 비즈니스 지표의 모음은 성과에 대한 가시성을 제공할 수는 있지만, 그 이면의 전략까지 반드시 설명하지는 못합니다.\u003C/p\u003E\n\u003Cp\u003E\u003Ca href=\"https://www.snowflake.com/ko/analytics/business-intelligence/strategy/\"\u003E비즈니스 인텔리전스 전략 가이드 읽기 \u003E\u003C/a\u003E\u003C/p\u003E\n\u003Cp\u003E\u003Ci\u003EFreddie Mac이 거버넌스가 적용된 데이터와 분석을 활용해 비즈니스 성과에 대한 가시성을 높이고 더 빠른 의사 결정을 지원하는 방법 보기\u003C/i\u003E\u003C/p\u003E\n","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-color-text-05"},"yt_what-is-a-balanced-scorecard_0":{"id":"embed-b265928402","youtubeVideoId":"N1X8-9BHo6Q","layout":"responsive","youtubeAspectRatio":"56.25","youtubeAutoPlay":false,"youtubeLoop":false,"youtubeMute":false,"youtubePlaysInline":false,"youtubeRel":false,"embeddableResourceType":"core/wcm/components/embed/v1/embed/embeddable/youtube","isLcpImage":false,"type":"EMBEDDABLE",":type":"snowflake-site/components/youtube"},"title_the-four-perspectives-of-the-balanced-scorecard":{"id":"title-v2-4ed452276d","additionalClasses":"anchor-title anchor-title--the-four-perspectives-of-the-balanced-scorecard","type":"heading2","lines":["밸런스 스코어카드의 네 가지 관점"],":type":"snowflake-site/components/title-v2"},"text_the-four-perspectives-of-the-balanced-scorecard_0":{"id":"text-0f1da18a8d","text":"\u003Cp\u003E네 가지 관점은 성과를 서로 다른 시각에서 보여주지만, 그 가치는 관점 간의 관계에서 나옵니다. 예를 들어 전략 맵은 직원 역량 강화가 특정 프로세스를 개선하고, 그 프로세스 변화가 고객 성과를 향상시키며, 고객 성과가 재무 결과에 기여한다는 가설을 제시할 수 있습니다.\u003C/p\u003E\n\u003Cp\u003E이러한 연결은 전략이 어떻게 작동할 것으로 예상되는지에 대한 가설입니다. 그다음 조직은 시간이 지나며 측정치를 관찰하고, 제안된 관계가 실제로 성립하는지 판단해야 합니다.\u003C/p\u003E\n\u003Ch3\u003E재무 관점\u003C/h3\u003E\n\u003Cp\u003E재무 관점은 매출 성장, 영업이익률, 현금 흐름, 자본수익률과 같은 결과를 추적합니다. 재무 측정치는 일반적으로 후행 지표입니다. 결과가 재무제표에 나타날 때쯤이면 그 결과를 만든 많은 의사 결정과 활동은 이미 이루어진 뒤입니다.\u003C/p\u003E\n\u003Cp\u003E어떤 조직이 기존 고객의 반복 매출을 늘리고자 한다고 가정해 보겠습니다. 연간 반복 매출 성장률은 정의된 타깃과 임계값을 갖춘 재무 성과 측정치가 될 수 있습니다. 이는 전략이 궁극적으로 기대한 경제적 결과를 만들어냈는지를 보여주며, 더 이른 신호는 스코어카드의 다른 영역에 위치합니다.\u003C/p\u003E\n\u003Cp\u003E정부 기관이나 비영리 조직에서는 최상위 결과가 다른 모습으로 나타나는 경우가 많습니다. 사명 달성, 시민 성과 또는 이해관계자 가치가 전략 맵의 최상위에 놓이고, 재무 측정치는 자금 제약이나 관리 책임 목표를 나타낼 수 있습니다. \u003Ca href=\"https://balancedscorecard.org/\" target=\"_blank\"\u003EThe Balanced Scorecard Institute\u003C/a\u003E는 예를 들어, 조직의 사명에 맞게 전통적인 밸런스 스코어카드 관점을 변경하고 명칭을 바꾼 공공 부문 구현 사례를 문서화하고 있습니다.\u003C/p\u003E\n\u003Ch3\u003E고객 관점\u003C/h3\u003E\n\u003Cp\u003E고객 관점은 조직이 전략에서 약속한 가치 제안을 얼마나 잘 전달하고 있는지를 묻습니다. 측정치에는 유지율, 만족도, 지갑 점유율, 획득 비용 또는 조직의 고객 목표와 연결된 다른 지표가 포함될 수 있습니다.\u003C/p\u003E\n\u003Cp\u003E반복 매출 예시에서 갱신율은 미래 반복 매출의 선행 지표로 작용할 수 있습니다. 동시에 갱신율은 제품 품질, 지원 또는 계정 관리와 관련된 이전 경험의 후행 지표이기도 합니다. 지표의 역할은 검토 중인 전략에서 그 지표가 어느 위치에 있는지에 따라 달라집니다.\u003C/p\u003E\n\u003Ch3\u003E내부 비즈니스 프로세스 관점\u003C/h3\u003E\n\u003Cp\u003E내부 비즈니스 프로세스 측정치는 고객 성과를 제공하는 데 필요한 업무를 추적합니다. 전략에 따라 여기에는 주문 처리 시간, 결함률, 최초 문의 해결률, 제품 릴리스 주기 또는 서비스 제공 비용이 포함될 수 있습니다.\u003C/p\u003E\n\u003Cp\u003E예를 들어 고객 유지가 서비스 품질에 어느 정도 좌우된다면, 최초 문의 해결률은 고객 만족도나 갱신의 선행 지표가 될 수 있습니다. 스코어카드는 리더가 그러한 관계를 예상할 전략적 이유가 있을 때에만 이를 포함해야 합니다.\u003C/p\u003E\n\u003Cp\u003EKaplan과 Norton은 이 관점을 의도적으로 선별적인 질문으로 설명했습니다. 우리는 무엇에서 탁월해야 하는가? 이 문구는 운영 지표 인벤토리가 스코어카드로 스필링되는 상황을 막는 데 도움이 됩니다. 관리자의 관심이 필요한 프로세스는 많지만, 조직의 기본 전략 스코어카드에 포함되어야 하는 프로세스는 상대적으로 적습니다.\u003C/p\u003E\n\u003Ch3\u003E학습과 성장 관점\u003C/h3\u003E\n\u003Cp\u003E원래 혁신과 학습으로 설명되었던 이 관점은 앞선 프로세스를 개선하는 데 필요한 역량을 다룹니다. 전략에 따라 측정치는 인력 스킬, 정보 가용성, 직원 참여도 또는 조직 역량의 또 다른 양식을 다룰 수 있습니다.\u003C/p\u003E\n\u003Cp\u003E새로운 지원 모델을 출시하는 서비스 조직을 생각해 보겠습니다. 새 시스템에 대한 숙련도를 입증한 서비스 직원의 비율은 최초 문의 해결률의 선행 지표가 될 수 있으며, 이는 다시 전략 맵의 상위에 있는 고객 및 재무 목표로 이어집니다.\u003C/p\u003E\n\u003Cp\u003E학습과 성장 측정치도 스코어카드의 다른 측정치와 같은 수준의 구체성을 갖춰야 합니다. 예를 들어 교육 시간만으로는 사람들이 전략에 필요한 역량을 개발했는지 거의 알 수 없습니다. 더 강력한 측정치는 역량 자체와 이를 평가할 의미 있는 방법을 식별합니다.\u003C/p\u003E\n\u003Cp\u003E네 가지 관점 전반에서 측정과 행동을 연결하는 기본 구성 요소는 동일합니다. 전략적 목표, 성과 측정치, 타깃, 전략적 이니셔티브입니다. 목표는 의도한 결과를 설명하고, 측정치는 진전을 보여주며, 타깃은 기대 성과 수준을 정하고, 이니셔티브는 측정치를 움직이기 위한 업무를 식별합니다.\u003C/p\u003E","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-color-text-05"},"card_v2_the-four-perspectives-of-the-balanced-scorecard_0":{"id":"card-v2-7ef049bf04","additionalClasses":"seo-customer","configurationStatus":{"configured":true,"message":""},"button":{"id":"button","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"/ko/customers/all-customers/case-study/under-armour/"},"linkTargetContentType":"GENERIC",":type":"snowflake-site/components/button","linkType":"SNOWFLAKE_INTERNAL","text":"전체 활용 사례 읽기"},":type":"snowflake-site/components/card-v2","image":{"id":"image","height":"351","src":"/adobe/dynamicmedia/deliver/dm-aid--4038893f-c777-401a-b624-8b0357dbe5e9/underarmour%25403x.png?quality=85&preferwebp=true","alt":"Under Armour logo","lazyEnabled":true,"isLcpImage":false,"width":"624",":type":"snowflake-site/components/image"},"type":"content-card","title":{"id":"title","type":"heading4","lines":["Under Armour"],":type":"snowflake-site/components/title-v2"},"text":{"id":"text","text":"\u003Cp\u003EUnder Armour는 보고 및 분석을 위한 공유 데이터 파운데이션으로 Snowflake를 사용하여, 팀이 서로 다른 계산식을 대조하는 대신 일관된 정보를 기반으로 일할 수 있도록 지원합니다. Under Armour의 ‘골든 리포트’ 접근 방식은 분석 인사이트를 확립된 지표와 정의에 고정해, 사용자가 비즈니스 성과를 살펴볼 때 신뢰할 수 있는 기준점을 제공합니다.\u003C/p\u003E\n","richText":true,":type":"snowflake-site/components/text"},"layoutStyle":"horizontal"},"title_from-strategy-map-to-scorecard-how-one-is-built":{"id":"title-v2-515bfb6398","additionalClasses":"anchor-title anchor-title--from-strategy-map-to-scorecard-how-one-is-built","type":"heading2","lines":["전략 맵에서 스코어카드로 이어지는 구축 방식"],":type":"snowflake-site/components/title-v2"},"text_from-strategy-map-to-scorecard-how-one-is-built_0":{"id":"text-352b9c42e1","text":"\u003Cp\u003E밸런스 스코어카드는 지표보다 업스트림에서, 즉 더 앞단에서 시작됩니다. 조직은 먼저 달성하려는 바를 명확히 정한 뒤, 이를 검증할 지표를 선택하기 전에 목표 간 관계를 정의합니다.\u003C/p\u003E\n\u003Cp\u003EBalanced Scorecard Institute는 평가와 전략 수립에서 측정, 자동화, 정렬, 평가로 이어지는 9단계 방법론을 통해 구현 과정을 체계화합니다. 실제 구축 시퀀스는 다음과 같습니다.\u003C/p\u003E\n\u003Col\u003E\n\u003Cli\u003E\u003Cstrong\u003E전략 목표 정의:\u003C/strong\u003E 조직이 개선해야 할 구체적 결과에서 출발합니다. 예를 들어 고객 유지 개선, 주문 처리 시간 단축, 미션 성과 개선 등이 이에 해당합니다.\u003C/li\u003E\n\u003Cli\u003E\u003Cstrong\u003E전략 맵 구축:\u003C/strong\u003E 해당 목표를 관련 관점에 배치하고, 목표 간에 가정한 인과관계를 그립니다. 전략 맵은 리더에게 전략적 가설을 한 페이지로 보여줍니다. 역량 A가 향상되면 프로세스 B가 개선되고, 이어 고객 성과 C와 재무 또는 미션 성과 D로 이어져야 한다는 식입니다. 전략 맵은 전략 목표 간의 논리적 인과관계를 보여주어야 합니다.\u003C/li\u003E\n\u003Cli\u003E\u003Cstrong\u003E성과 측정 지표 선택:\u003C/strong\u003E 전략 맵에서 각 목표와 그 위치를 뒷받침할 근거가 되는 지표를 선택합니다. 일부 지표는 이미 발생한 결과를 포착하고, 다른 지표는 진행 상황을 더 이른 시점에 알려주는 신호가 되어야 합니다.\u003C/li\u003E\n\u003Cli\u003E\u003Cstrong\u003E목표와 임계값 설정:\u003C/strong\u003E 각 측정 지표에 명확한 기대치를 부여합니다. 목표는 달성하고자 하는 결과를 정하고, 임계값은 다음 공식 전략 검토 전에 주의가 필요한 성과를 팀이 식별하도록 돕습니다.\u003C/li\u003E\n\u003Cli\u003E\u003Cstrong\u003E전략 이니셔티브 연결:\u003C/strong\u003E 이니셔티브는 영향을 주려는 목표 및 측정 지표와 명확하게 연결되어야 합니다. 그래야 해당 업무를 그 결과로 나타난 성과와 함께 평가할 수 있습니다.\u003C/li\u003E\n\u003Cli\u003E\u003Cstrong\u003E스코어카드 정렬 및 하위 전개:\u003C/strong\u003E 그런 다음 비즈니스 단위, 부서, 팀은 각자의 목표와 측정 지표를 상위 전략에 연결합니다.\u003C/li\u003E\n\u003C/ol\u003E\n\u003Cp\u003E마지막 단계에서는 쉽게 간과되는 측정 문제가 발생합니다. 엔터프라이즈 스코어카드가 고객 유지를 사용하지만 비즈니스 단위가 같은 이름으로 다른 계산값을 보고한다면, 하위 수준의 측정 지표는 엔터프라이즈 관점에 깔끔하게 반영될 수 없습니다.\u003C/p\u003E\n\u003Cp\u003E측정 지표 명세는 이러한 정의 이탈을 방지하는 데 도움이 됩니다. 모든 스코어카드 측정 지표에 대해 정확한 정의와 공식, 소스 데이터, 지정된 오너, 새로 고침 주기, 목표, 임계값을 문서화합니다. 계산이 필터, 제외 조건 또는 특정 보고 세분성에 의존한다면, 이러한 세부 정보도 명세에 포함해야 합니다.\u003C/p\u003E\n\u003Cp\u003E문서화는 전략 맵을 구축하는 일에 비하면 다소 평범해 보이지만, 운영 부담의 큰 부분을 담당합니다. 지표가 예상과 다르게 움직일 때 팀은 비즈니스 성과가 변한 것인지, 기초 데이터가 변한 것인지, 아니면 측정 지표 자체가 재정의된 것인지 알아야 합니다.\u003C/p\u003E","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-color-text-05"},"callout_from-strategy-map-to-scorecard-how-one-is-built_0":{"id":"text-e3df45397c","additionalClasses":"callout callout--tip","text":"\u003Cp\u003E\u003Cstrong\u003E빠른 팁\u003C/strong\u003E\u003C/p\u003E\n\u003Cp\u003E지표를 다른 팀으로 전개하기 전에 측정 지표 명세를 작성합니다. 공식, 소스 데이터, 오너, 새로 고침 주기, 목표, 임계값을 기록해 스코어카드의 모든 수준에서 동일한 대상을 평가하도록 합니다.\u003C/p\u003E","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-size-regular text-color-text-05"},"title_balanced-scorecard-vs-kpi-vs-okr":{"id":"title-v2-d287239ffa","additionalClasses":"anchor-title anchor-title--balanced-scorecard-vs-kpi-vs-okr","type":"heading2","lines":["밸런스 스코어카드와 KPI, OKR"],":type":"snowflake-site/components/title-v2"},"text_balanced-scorecard-vs-kpi-vs-okr_0":{"id":"text-d073e28d38","text":"\u003Cp\u003E밸런스 스코어카드, KPI, OKR은 모두 측정을 포함하지만 관리 시스템 안에서 작동하는 수준은 서로 다릅니다.\u003C/p\u003E\n\u003Ch3\u003E밸런스 스코어카드와 KPI\u003C/h3\u003E\n\u003Cp\u003E\u003Ca href=\"https://www.snowflake.com/ko/analytics/business-intelligence/kpi/\"\u003EKPI\u003C/a\u003E는 중요한 목표 대비 성과를 추적하는 개별 측정 지표입니다. 밸런스 스코어카드는 명시적인 전략 안에서 선별된 측정 지표 그룹을 구성하고, 조직이 여러 관점의 목표가 서로 어떻게 연결될 것으로 보는지 보여줍니다.\u003C/p\u003E\n\u003Cp\u003E예를 들어 고객 유지 KPI는 여러 운영 보고서에 나타날 수 있습니다. 밸런스 스코어카드 안에서는 같은 KPI가 전략 목표, 목표값, 이니셔티브, 다른 측정 지표와의 가정된 관계와 함께 배치됩니다.\u003C/p\u003E\n\u003Ch3\u003E밸런스 스코어카드와 OKR\u003C/h3\u003E\n\u003Cp\u003E목표와 핵심 결과(\u003Ca href=\"https://www.snowflake.com/en/analytics/business-intelligence/okr/\"\u003EOKRs\u003C/a\u003E)는 계획 및 실행 주기에 맞춰 목표와 측정 가능한 결과를 구성합니다. 밸런스 스코어카드는 연결된 목표와 성과 측정 지표를 통해 전략을 표현하는 지속적인 구조를 제공합니다.\u003C/p\u003E\n\u003Cp\u003E두 방식을 모두 사용하는 조직은 대개 둘을 서로 연결합니다. 상설 스코어카드는 고객 유지를 전략 목표로 식별하고 수년간 갱신율을 추적할 수 있습니다. 반면 팀의 현재 OKR은 다음 계획 기간에 해당 측정 지표에 영향을 줄 것으로 예상되는 구체적 개선을 다룹니다.\u003C/p\u003E\n\u003Cp\u003E이러한 관계가 계속 유용하려면 검토 주기가 충분히 긴밀하게 맞물려야 합니다. 실행 팀은 매주 성과에 대응하는데 관련 전략 지표는 몇 달 뒤에야 검토된다면, 리더가 현재 업무와 스코어카드의 변화를 연결할 기회는 줄어듭니다.\u003C/p\u003E\n\u003Ch3\u003E밸런스 스코어카드와 North Star Metric 비교\u003C/h3\u003E\n\u003Cp\u003ENorth Star Metric은 조직이나 제품이 제공하는 가치와 밀접하게 연결된 하나의 측정 지표에 관심을 집중시킵니다. 밸런스 스코어카드는 하나의 지표만으로는 조직 성과를 뒷받침하는 조건 전체를 설명하기 어렵다는 점을 인정하고, 의도적으로 여러 관점을 유지합니다.\u003C/p\u003E\n","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-color-text-05"},"title_why-balanced-scorecards-stall-the-definition-problem":{"id":"title-v2-0146bd566f","additionalClasses":"anchor-title anchor-title--why-balanced-scorecards-stall-the-definition-problem","type":"heading2","lines":["밸런스 스코어카드가 정체되는 이유, 정의의 문제"],":type":"snowflake-site/components/title-v2"},"text_why-balanced-scorecards-stall-the-definition-problem_0":{"id":"text-90c460af4f","text":"\u003Cp\u003E네 가지 관점은 이해하기 쉽지만, 시간이 지나도 시스템을 전략적으로 유용하게 유지하려면 지표 정의와 관리에 관한 과제를 해결해야 합니다.\u003C/p\u003E\n\u003Ch3\u003E기존 지표를 네 가지 범주로 분류하는 방식\u003C/h3\u003E\n\u003Cp\u003E흔한 구현 방식 중 하나는 조직이 이미 보고하고 있는 측정 지표에서 출발해 이를 네 가지 관점에 배분한 뒤, 그 결과물을 밸런스 스코어카드라고 부르는 것입니다.\u003C/p\u003E\n\u003Cp\u003E하지만 이런 결과물에는 프레임워크에 구조를 부여하는 전략적 관계가 빠져 있는 경우가 많습니다. 매출은 재무, 만족도는 고객, 사이클 타임은 내부 프로세스, 교육 시간은 학습과 성장 항목에 놓일 수 있습니다. 그러나 왜 하필 해당 지표들이 선택되었는지, 한 지표의 변화가 다른 지표와 어떻게 연결되어야 하는지는 설명하지 못합니다.\u003C/p\u003E\n\u003Cp\u003E탄탄한 전략 맵은 이 문제를 업스트림에서 바로잡습니다. 각 성과 측정 지표는 목표와 전략적 가설 속에서 기대되는 역할을 통해 자리를 확보합니다.\u003C/p\u003E\n\u003Ch3\u003E수집이 또 하나의 보고 워크로드를 만든다\u003C/h3\u003E\n\u003Cp\u003E스코어카드 프로그램은 이를 작성하는 데 반복적인 수작업이 필요할 때 흔히 난관에 부딪힙니다. 측정 지표 하나를 검토할 때마다 누군가 스프레드시트를 내보내고, 정리하고, 다른 소스와 대조한 뒤 계산을 다시 만들어야 한다면, 보고 작업은 성과 해석에 쓸 수 있는 시간을 소모하게 됩니다.\u003C/p\u003E\n\u003Cp\u003E시간이 지날수록 조직은 산출하기 가장 쉬운 측정 지표를 남기는 경향이 있습니다. 전략적으로 유용하더라도 수집 비용이 높은 지표는 업데이트 빈도가 낮아지거나 스코어카드에서 아예 사라질 수 있습니다.\u003C/p\u003E\n\u003Cp\u003E새로 고침 주기는 검토 주기와 관련 신호의 유형에 맞춰야 합니다. 월간 관리 주기에서 분기마다 한 번만 새로 고침되는 선행 운영 지표는 조기 경고 역할을 거의 하지 못합니다.\u003C/p\u003E\n\u003Ch3\u003E시스템과 팀 전반에서 달라지는 비즈니스 정의\u003C/h3\u003E\n\u003Cp\u003E더 깊은 문제는 같은 비즈니스 용어가 서로 다른 계산으로 귀결될 때 나타납니다. 예를 들어 한 보고서의 ‘매출’은 예약을 기준으로 하고, 다른 보고서의 매출은 인식 매출을 기준으로 할 수 있습니다. 또는 프로덕트 팀은 ‘활성 고객’을 30일 이내 로그인으로 정의하지만, 재무 팀은 현재 분기에 청구된 계정으로 정의할 수 있습니다.\u003C/p\u003E\n\u003Cp\u003E\u003Ca href=\"https://www.snowflake.com/en/blog/engineering/how-to-build-semantic-view/\"\u003ESnowflake 수석 프로덕트 매니저 Abhinav Vadrevu\u003C/a\u003E의 표현처럼, “비즈니스 정의는 본질적으로 집단적입니다.” \u003Cem\u003E매출\u003C/em\u003E 또는 \u003Cem\u003E활성 고객\u003C/em\u003E 같은 용어는 보고, 분석, 비즈니스 프로세스 전반에 축적된 의사결정을 반영하는 경우가 많습니다. 따라서 이러한 측정 지표가 엔터프라이즈 스코어카드에 포함될 때는 합의된 정의를 문서화하는 일이 특히 중요합니다.\u003C/p\u003E\n\u003Cp\u003E엔터프라이즈 규모에서 스코어카드의 단일 진실 공급원은 기초 레코드가 여러 시스템에 걸쳐 있더라도, 하나의 거버넌스가 적용된 정의와 이를 계산하는 데 사용되는 데이터로 이어지는 권위 있는 경로를 포함해야 합니다. 이를 위해서는 비즈니스 정의에 대한 합의와 기술적 구현이 모두 필요합니다.\u003C/p\u003E\n\u003Ch3\u003E측정 지표는 자체적인 인센티브를 만든다\u003C/h3\u003E\n\u003Cp\u003E측정 지표에 목표가 생기면 사람들은 그 숫자를 개선할 이유를 갖게 됩니다. 때로는 숫자는 개선되지만 그 바탕에 있는 목표는 개선되지 않습니다. 예를 들어 평균 처리 시간만으로 평가받는 서비스 팀 직원은 고객 문제가 해결되지 않았더라도 통화를 빨리 끝내려는 인센티브를 갖게 됩니다. 효율성 지표를 품질 또는 결과 지표와 함께 보면 리더는 그 트레이드오프를 더 잘 파악할 수 있습니다.\u003C/p\u003E\n\u003Cp\u003E전략 맵 자체도 면밀히 검토해야 합니다. 조직이 추가 교육을 통해 첫 문의 해결률이 개선되고, 이것이 만족도 향상과 유지 개선으로 이어질 것이라고 예측한다면, 스코어카드는 이러한 관계가 데이터에서 실제로 나타나는지 검토할 기회를 제공합니다. 그렇지 않다면 전략 또는 측정 설계를 다시 살펴봐야 합니다.\u003C/p\u003E","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-color-text-05"},"callout_why-balanced-scorecards-stall-the-definition-problem_0":{"id":"text-015d001aad","additionalClasses":"callout callout--warning","text":"\u003Cp\u003E\u003Cstrong\u003E자주 하는 실수\u003C/strong\u003E\u003C/p\u003E\n\u003Cp\u003E흔한 실수는 기초 정의를 확인하지 않은 채 여러 수준에서 같은 지표 이름을 사용하는 것입니다. ‘유지’나 ‘매출’이 팀마다 다르게 계산된다면, 측정 지표는 정렬된 것처럼 보여도 롤업 결과는 전혀 다른 이야기를 할 수 있습니다.\u003C/p\u003E","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-size-regular text-color-text-05"},"title_what-a-balanced-scorecard-needs-from-the-data-layer-underneath-it":{"id":"title-v2-d27ada230f","additionalClasses":"anchor-title anchor-title--what-a-balanced-scorecard-needs-from-the-data-layer-underneath-it","type":"heading2","lines":["밸런스 스코어카드가 기반 데이터 계층에 요구하는 것"],":type":"snowflake-site/components/title-v2"},"text_what-a-balanced-scorecard-needs-from-the-data-layer-underneath-it_0":{"id":"text-e9ef011e82","text":"\u003Cp\u003E스코어카드가 여러 시스템, 팀, 보고 도구를 포괄하게 되면 측정 설계에도 고유한 기술 요구 사항이 생깁니다. 스코어카드를 데이터 제품으로 취급하면 이러한 요구 사항을 명확히 드러낼 수 있습니다.\u003C/p\u003E\n\u003Cul\u003E\n\u003Cli\u003E\u003Cstrong\u003E거버넌스가 적용된 지표 정의:\u003C/strong\u003E 공식, 집계 규칙, 조인, 관련 비즈니스 로직을 재사용 가능한 시맨틱 모델, 시맨틱 뷰 또는 이에 준하는 거버넌스가 적용된 계층에 저장합니다. 대시보드, 보고서, 분석 인터페이스는 계산을 독립적으로 재현하는 대신 이 공유 로직을 참조해야 합니다.\u003C/li\u003E\n\u003Cli\u003E\u003Cstrong\u003E정의 변경 기록:\u003C/strong\u003E 측정 지표와 그 로직의 변경 사항을 기록하되, 가능한 한 버전이 지정된 정의를 통해 관리합니다. 전략 검토 중에는 팀이 실제 성과 변화와 계산 방식 변경을 구분할 수 있어야 합니다.\u003C/li\u003E\n\u003Cli\u003E\u003Cstrong\u003E지정된 오너:\u003C/strong\u003E 각 측정 지표에는 비즈니스 정의를 소유하고 변경을 조율할 책임자를 지정합니다. 팀 소유권만으로는 새로운 제외 조건, 필터 또는 계산 규칙을 누가 승인하는지 불명확해지는 경우가 많습니다.\u003C/li\u003E\n\u003Cli\u003E\u003Cstrong\u003E적절한 새로 고침 주기:\u003C/strong\u003E 데이터 새로 고침은 해당 지표가 유용한 정보를 얼마나 빠르게 제공해야 하는지에 맞춰 조정합니다. 월간 전략 검토에 모든 측정 지표의 실시간 반영이 필요한 것은 아닙니다. 반면 새롭게 나타나는 운영 문제를 드러내기 위한 선행 지표에는 그 역할을 수행할 만큼의 최신성이 필요합니다.\u003C/li\u003E\n\u003Cli\u003E\u003Cstrong\u003E소스까지 이어지는 Lineage:\u003C/strong\u003E 스코어카드의 숫자가 변환과 계산을 거쳐 기초 데이터에 이르기까지 이어지는 경로를 보존해야 합니다. 값이 잘못된 것처럼 보일 때 분석가와 컨트롤러는 그 출처를 실질적으로 추적할 수 있어야 합니다.\u003C/li\u003E\n\u003Cli\u003E\u003Cstrong\u003E후속 질문을 탐색하는 방법\u003C/strong\u003E 최상위 측정값은 대개 논의의 출발점이 됩니다. 유지율이 하락했다면 다음 질문은 지역, 세그먼트, 제품, 코호트 또는 기타 기여 요인으로 이어집니다. 분석 인터페이스는 스코어카드를 산출한 것과 동일한 지표 정의를 사용해 이러한 드릴다운을 지원해야 합니다.\u003C/li\u003E\n\u003C/ul\u003E\n\u003Cp\u003E시맨틱 및 대화형 시스템에서는 검증된 참조 쿼리가 또 하나의 유용한 제어 장치가 됩니다. 이미 확인된 질문과 기대 계산값의 집합은 시맨틱 모델 변경 이후에도 의도한 결과가 반환되는지 팀이 점검할 수 있게 해줍니다. 검증된 쿼리를 지원하는 시스템에서는 이러한 예시가 비즈니스 질문을 올바른 분석 로직으로 변환하는 데 필요한 추가 컨텍스트도 제공합니다.\u003C/p\u003E\n\u003Cp\u003E이러한 제어 장치의 더 큰 목적은 명확합니다. 스코어카드에 표시되는 숫자는 재현 가능해야 합니다. 동일한 측정값을 보는 재무 리더, 전략 팀 또는 분석가는 그 정의에 액세스하고, 출처를 이해하며, 동일한 거버넌스 적용 로직에서 동일한 결과에 도달할 수 있어야 합니다.\u003C/p\u003E","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-color-text-05"},"title_running-a-balanced-scorecard-on-snowflake":{"id":"title-v2-1eae71b44d","additionalClasses":"anchor-title anchor-title--running-a-balanced-scorecard-on-snowflake","type":"heading2","lines":["Snowflake에서 밸런스 스코어카드 운영"],":type":"snowflake-site/components/title-v2"},"text_running-a-balanced-scorecard-on-snowflake_0":{"id":"text-3fec8b31f1","text":"\u003Cp\u003ESnowflake의 거버넌스 적용 지표 계층은 BI 및 분석 애플리케이션을 지원하는 동시에 밸런스 스코어카드 측정값에 일관된 정의와 비즈니스 로직을 제공할 수 있습니다.\u003C/p\u003E\n\u003Cp\u003E\u003Ca href=\"https://docs.snowflake.com/ko/user-guide/views-semantic/overview\"\u003ESnowflake Semantic Views\u003C/a\u003E는 지표, 차원, 관계를 비롯한 비즈니스 개념을 스키마 수준의 데이터베이스 오브젝트로 직접 저장합니다. \u003Cem\u003E순매출, 유지율\u003C/em\u003E 또는 서비스 제공 \u003Cem\u003E비용\u003C/em\u003E 같은 측정값은 계산에 사용되는 데이터와 함께 비즈니스 정의를 담을 수 있으며, 다운스트림 소비자는 일관된 집계 방법을 사용할 수 있습니다.\u003C/p\u003E\n\u003Cp\u003E후속 분석의 경우 \u003Ca href=\"https://www.snowflake.com/en/developers/guides/getting-started-with-cortex-analyst/\"\u003ECortex Analyst\u003C/a\u003E는 Semantic Views를 사용해 자연어 질문을 정형 데이터에 대한 SQL로 변환합니다. 예를 들어 유지율을 검토하는 전략 리더는 Semantic View에 인코딩된 지표 정의를 계속 사용하면서 최상위 측정값에서 지역이나 제품에 관한 질문으로 이동할 수 있습니다. 검증된 쿼리는 반복적으로 발생하는 분석 질문의 정확도를 높이는 데 도움이 되는 검증된 질문 및 SQL 예시를 제공합니다.\u003C/p\u003E\n\u003Cp\u003E\u003Ca href=\"https://www.snowflake.com/ko/product/snowflake-cowork/\"\u003ESnowflake CoWork\u003C/a\u003E는 자연어 분석을 더 폭넓은 작업 에이전트 경험으로 확장하며, Snowflake Horizon Context는 비즈니스 정의와 관련 컨텍스트를 \u003Ca href=\"https://www.snowflake.com/ko/product/features/horizon/\"\u003ESnowflake Horizon Catalog\u003C/a\u003E로 가져옵니다. 이러한 기능은 각 인터페이스가 측정값의 의미를 독립적으로 재구성하도록 요구하는 대신, AI와 BI 상호작용이 거버넌스 적용 비즈니스 로직에 기반하도록 설계되었습니다.\u003C/p\u003E\n\u003Cp\u003E전략적 측정값은 여러 BI 및 분석 도구 전반에 나타나는 경우가 많기 때문에 상호운용성도 스코어카드와 관련이 있습니다. Snowflake는 시스템 간 시맨틱 정의 교환을 위한 개방형 사양을 만들고자 하는 이니셔티브인 \u003Ca href=\"https://www.snowflake.com/ko/blog/open-semantic-interchanges-specs-finalized/\"\u003EOpen Semantic Interchange\u003C/a\u003E 출범을 지원했습니다. 2026년 7월, 이 프로젝트는 Apache Ossie(Incubating)라는 이름으로 Apache 소프트웨어 재단 인큐베이터에 합류하며 이식 가능한 시맨틱 메타데이터라는 동일한 목표를 이어갔습니다.\u003C/p\u003E\n\u003Cp\u003E실질적인 기능은 단순합니다. 측정값을 한 번 정의하고, 로직을 거버넌스하며, 이력을 보존하고, 각 소비자에게 일관된 해석 방식을 제공하는 것입니다. 이러한 기반이 있으면 전략 검토는 측정값이 성과에 대해 무엇을 말하는지, 그리고 전략 내 관계가 실제로 예상대로 전개되고 있는지에 집중할 수 있습니다.\u003C/p\u003E","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-color-text-05"},"title_turning-strategy-into-measurable-performance":{"id":"title-v2-5721b99e74","additionalClasses":"anchor-title anchor-title--turning-strategy-into-measurable-performance","type":"heading2","lines":["전략을 측정 가능한 성과로 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All Rights Reserved ㅣ 스노우플레이크코리아 유한회사 ㅣ 대표자: 마이클파스콸스카펠리 ㅣ 주소: 서울특별시 강남구 테헤란로 134, 10층(역삼동, 포스코타워 역삼) ㅣ 사업자등록번호: 523-87-02399\u003C/li\u003E\r\n\u003C/ul\u003E\r\n","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-size-small text-color-text-04"},"markup_editor":{"id":"markup-editor-bca33e5bcb","title":" ","htmlContent":"\u003Cdiv class=\"sf-footer__social\"\u003E\r\n\u003Cdiv data-testid=\"snowflake-footer-twitter\" class=\"snowflake-button-icon snowflake-button-white snowflake-footer-social-item\"\u003E\u003Cdiv class=\"snowflake-button-icon \"\u003E\u003Ca href=\"https://x.com/Snowflake\" data-testid=\"button-external\" aria-label=\"X (Twitter)\" role=\"button\" class=\"snowflake-button-container\" title=\"X (Twitter)\" tabindex=\"0\" target=\"_blank\" rel=\"noreferrer\"\u003E\u003Cdiv data-testid=\"button-icon-wrapper\"\u003E\u003Csvg xmlns=\"http://www.w3.org/2000/svg\" fill=\"none\" viewBox=\"0 0 59 53\" class=\"button-icon\"\u003E\u003Cpath 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