跟讀練習: Characteristics of a Data and Analytics Leader - 通過影片學習英語口語
選擇練習模式
每種模式都會開啟全屏練習室。
20 句
如果句子過短或過長,請點選 Edit 進行調整。
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Music I'm Chris Mazzei, EY's Global Chief Analytics Officer, and my role is to really look across all of what EY does with our clients from an analytics perspective.
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A data and analytics leader in today's organization needs to be a bit of a renaissance professional, and there are many competencies and skill sets that are important,
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but we found four areas that seem to stand out.
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One is they really have to be a business expert.
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They have to understand the business and the industry sector very well, and really where and how value gets created.
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Second, they have to be an innovator.
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They have to be able to see where in
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that business model there's the most opportunity for driving value and change and how those changes can lead to competitive differentiation.
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Third, they have to be a solution architect.
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Once you've identified where and how you want to apply analytics in the business, how do you actually work between the business teams
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and the technical teams to design the solution or the intervention mechanism that you want to put in place?
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And although this individual, the leader, doesn't have to be the one building the analytics models or implementing the technology, they have to be a bridge between the business
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and the technical teams to ultimately architect what the solution is that's being put in place.
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The fourth area is being a network builder and this is really important
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and often underappreciated in this role in
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that the individual has to be able to get things done in the organization
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and that typically means having a large number of very trusted relationships with senior stakeholders throughout the company
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and so having an individual who is really focused on building those relationships
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and working with other leaders in the organization to ultimately get things done is a critical skill set
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and one that we often find does not get enough attention.
FOR YOU
推薦影片
背景與背景
在當今資料驅動的時代,分析和資料領導者的角色變得越來越重要。根據Chris Mazzei的描述,作為全球首席分析官,他負責從分析的角度審視EY與客戶之間的所有合作。一個優秀的資料與分析領導者需要具備多種技能和能力,其中包括對業務的深刻理解、創新能力、解決方案設計能力以及建立人際網路的能力。這些能力對於推動企業的成功和變革至關重要。
日常交流的五個關鍵短語
- Business expert: 瞭解行業及其價值創造的關鍵所在。
- Innovator: 能夠識別出業務模型中推動價值和變革的機會。
- Solution architect: 在業務團隊與技術團隊之間架起橋梁,以設計分析解決方案。
- Network builder: 建立並維護與公司內重要利益相關者的信任關係。
- Get things done: 在組織內推動專案實施的能力。
逐步模仿練習指南
如果你希望提高英語口語能力,尤其是對於描述資料和分析領導者的角色,可以根據以下步驟進行模仿練習:
- 觀看影片: 找到相關的YouTube影片,專注於內容。在觀看時,記錄下重要的短語和表達方式。
- 聆聽並模仿: 在觀看時,不要只停留於理解內容,嘗試模仿語音、語調和節奏。這是一個看YouTube學英語的良好方法。
- 重複跟讀: 將影片暫停,並嘗試跟讀領導者所說的內容。從短句開始,逐漸增加到完整的段落。這種shadow speak的方法對提高發音非常有效。
- 錄音對比: 錄下自己的聲音,與影片的原聲進行比較。注意與原音的差異,進行針對性改進。
- 實際應用: 嘗試將學到的表達運用於實際對話中,例如在雅思口語練習中,結合這些短語與其他考生交流,提升流利度。
通過這些步驟,你將能夠有效提升你的英語口語能力。記住,練習的越多,進步的越快!
什麼是跟讀法?
跟讀法 (Shadowing) 是一種有科學依據的語言學習技巧,最初開發用於專業口譯員的培訓,並由多語言者Alexander Arguelles博士普及。這個方法簡單而強大:您在聽英語母語原聲的同時立即大聲重複——就像是一個延遲1-2秒緊跟說話者的影子。與被動聽力或語法練習不同,跟讀法強迫您的大腦和口腔肌肉同時處理並模模擬實的講話模式。研究表明它能顯著提高發音準確性,語調,節奏,連讀,聽力理解和口語流利度——使其成為雅思口語備考和真實英語交流最有效的方法之一。












