Discover New Insights

Are you a current Oracle Business Intelligence customer fostering a data-driven culture with powerful, visually stunning analytics? The Oracle Analytics platform has empowered people across the organization to make faster, more informed, and mobile-enabled business decisions. Now the platform has driven the current release of industry-leading cloud analytics, Oracle Analytics.

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Why Business Intelligence?

Business intelligence (BI) refers to software technologies, applications, and practices for the collection, integration, analysis, and presentation of business information. No longer a nice-to-have, BI solutions are critical for all organizations to optimize performance, improve profits, or streamline business functions.

The most valuable and successful BI systems have the ability to access data from across the enterprise to present information to all lines of business (LOBs) in a meaningful way to improve decision-making.

The most effective BI applications provide a comprehensive business intelligence platform that delivers a full range of analytic and reporting capabilities. BI should be designed for scalability, reliability, and performance to deliver relevant and actionable insights that all organizations need to make better and more-informed decisions and drive efficient performance management.


Roadmap to Oracle Analytics

Oracle's goal is to ensure that all organizations—regardless of size or type—can access all of their business data to gain even deeper insights and drive more-informed decisions. By breaking down data silos, Oracle is committed to meeting your analytics needs, no matter how advanced—or simple.

By integrating emerging technologies, including machine learning (ML) and artificial intelligence (AI), Oracle Analytics ensures that organizations do not have to compromise between governed, centralized, and self-service analytics. Instead, Oracle combines these three powerful forces into a single solution. Organizations can now quickly scale across all lines of business and realize the greatest potential from their data.

Oracle Analytics Cloud

Analytics permeates every aspect of our lives. No matter what the question is about—HR, finance, marketing, or supply chain—analytics provides the platform to drive contextual and informed decisions. Oracle Analytics combines ML and AI to your data to enrich LOB decision-making and predicative ability.

Moving to Oracle Analytics Cloud is more than just a deployment choice. It’s the next step that enables you to break down the barriers between people, places, data, and systems to fundamentally shift the way everyone interacts with data and technology.

As organizations plot their journey to Oracle Analytics Cloud, there are two aspects that remain central to all analytics goals: agility and expediency.

Oracle Business Intelligence

Oracle Analytics platform enables you to simplify your analytics strategies with a modern, standard, and integrated platform. With advanced analytics, all key decision-makers are empowered to quickly find answers to predictive and statistical questions. While users across the organization can now craft a thoughtful, compelling, and visually stunning analytical story using data visualization extensions.

With mobile functionality, you can talk to your data using a search-driven approach to analytics that is optimized for voice. Ask questions and see your visualizations displayed. In-memory enhancements make it easier and faster to scale, especially with seamless integration.

Oracle Business Analytics 部落格

使用雲端分析推動智慧決策,
機器學習及更多

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資料分析和商業智慧2020規劃最重要的事項

隨著2020年即將到來,不論各種規模的企業都需要明確的遠景-暫且稱之為20/20遠見-關於如何啟動分析和商業智慧的計畫以走向未來。

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利用Oracle分析來解決全球蜜蜂危機

根據世界蜜蜂專案計畫(WBP)顯示,蜜蜂和其它對花卉授粉的昆蟲正瀕臨滅絕,所以Oracle和全球社區合作啟動一項計畫,採用分析來減緩前述的衰退。

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建構可操作的行銷指示。

今日每一項具前瞻性的業務都專注在更進一步的資料導向。即便對於被認為更需專注創意的行銷部門也是如此。

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財務長如何解開資料中的隱含價值。

根據Accenture的技術研究調查顯示,在一些業界中,財務長逐漸成為現代企業策略的改革創造者,惟他們需要正確的工具來推動價值、改善效率並使策略跨越金融職能的邊界。

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Oracle Analytics Cloud 得到視覺化調整

最新版本的 Oracle Analytics Cloud 包含一個全新的資料視覺化功能,此功能可以幫助商務用戶進行探索。

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人工智慧和分析能更好地聚在一起

隨著愈來愈多的公司將人工智慧和機器學習系統應用在資料上,管理人員可能會對商業分析在成功因素上扮演的角色產生質疑。不過正如Frank Sinatra的歌裡面所述:「我告訴你,老兄。你不能有這個缺另一個。」

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分析有助於實現人力資源的轉型。

根據咨詢服務公司畢罵威(KPMG)一位高階人員表示,人力資源經理在尋才、留才和育才方面經常面臨困難,,不過他們將現在可以使用的工具將可以讓他們的業務轉型達成更多。

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用於診斷的機器學習:預測慢性腎臟病

慢性腎病是主要的公共衛生問題之一,人們對於早期檢測需求日益增加,以獲得成功且永續的照護。

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使用資料倉儲做出更佳分析

現今資料管理面臨的最大挑戰是建立、提供和維護資料庫環境,並將其交付給終端用戶所需的人為勞動。

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利用 Analytics Cloud 實現燃料創新

如果您曾經不得不追查報告的資料,就會知道需要許多步驟並多次前往 IT 及多種軟體程式。

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Business Analytics 下一個重要的目標:Inline Data Prep

資料準備,意即資料擴充,已經不是新奇的概念。實際上,我幾乎可以保證所有分析得部署都有提供用戶一些作用。