-
Viking transforms its analytics strategy using SAS® Viya® on AzureViking is going all-in on cloud-based analytics to stay competitive and meet customer needs. The retailer's digital transformation are designed to optimize processes and boost customer loyalty and revenue across channels.
-
Public health infrastructure desperately needs modernizationPublic health agencies must flex to longitudinal health crises and acute emergencies – from natural disasters like hurricanes to events like a pandemic. To be prepared, public health infrastructure must be modernized to support connectivity, real-time data exchanges, analytics and visualization.
-
SAS CIO: Why leaders must cultivate curiosity in 2021With the change we’re all facing this year, CIOs should be counting on curiosity to play a crucial role in how we’re going to meet the challenges that lie ahead. From the moment COVID-19 hit, our IT organization has relied on curiosity – that strong desire to explore, learn, know - to fuel the urgent changes required. And it’s curiosity that will enable us to meet the needs of the future of work post-pandemic.
-
Five ways your organization can enhance resilience for years to comeInnovation, agility and customer-centricity frequently top the list of companies’ strategic objectives, and now the most urgent priority is resilience. Given this new urgency, it’s worth taking a close look at the underpinnings of resilience and how they could be applied in any industry. This article explores how analytics can help boost resilience and includes key elements to keep your organization resilient.
-
Resilience in the face of unpredictabilityUnpredictability can “shatter and reshape” a society. And in these unpredictable times, it is important to remain resilient and be prepared to bounce back. This article explores what it truly means to be resilient, how to build it, and how analytics can help you act when your resilience is tested.
-
Homelessness data holds insights to a hidden problemSAS partnered with The Carying Place, an organization that supports working homeless families, to find new ways to measure indicators of participant success and provide families the help they deserve.
-
Finding COVID-19 answers with data and analyticsLearn how data plays a role in optimizing hospital resources, understanding disease spread, supply chain forecasting and scientific discoveries.
-
How health care leaders deployed analytics when crisis hitDuring the COVID-19 pandemic, some health care providers were well-positioned to respond to rapid changes in demand. The factor that most distinguished them was that they already had a strong capacity in place for using data to inform decisions. Read about three key takeaways from their experiences.
-
Situational awareness guides our responses – routine to crisisMany circumstances call for situational awareness – that is, being mindful of what’s present and happening around you. The COVID-19 pandemic heightened this need, as leaders across industries used analytics and visualization to gain real-time situational awareness and respond with fast, critical decisions.
-
A data scientist’s views on data literacyGet a data scientist and teacher's perspective on the value of having foundational knowledge so you can more easily tell data fact from data fiction.
-
Respond, recover and reimagineDisruptions to our lives happen regularly, though most are not as far-reaching as the COVID-19 pandemic. Whatever their nature, it’s helpful to have a plan for how to exit disruption still on your feet and in the game. Learn about the three-phase approach SAS recommends for mitigating widespread disturbances.
-
Contact tracing investigations for public health: Technology enhances epidemic investigationWhat was once a cumbersome process that relied on an individual’s often incomplete or inaccurate memory, contact tracing investigations for public health has entered the digital era thanks to advanced analytics and data visualization.
-
From living on the streets to owning a profitable businessZoe Empowers, a ministry for vulnerable children living in life-threatening poverty in Africa and India, finally found a way to measure and reveal its incredible impact. Using SAS, they developed an "empowerment index" that measures improvements in housing, health, education and more for program participants.
-
Will health care be fundamentally changed post-COVID-19?Many market forces are supporting the transformation to virtual digital health programs -- the COVID-19 pandemic is just the latest compelling event.
-
Saving lives during a global pandemic through medical resource optimizationCleveland Clinic is operationalizing analytics to combat COVID-19, creating innovative models that help forecast patient volume, bed capacity, medical equipment availability and more.
-
Jump-start COVID-19 research with text analytics Applying text analytics and AI to discover trends and commonalities among COVID-19 research documents can lead to new insights about the disease and help answer many unanswered questions.
-
Optimizing well placement to eliminate water poverty How data visualization is helping Water for Good bring fresh water to the Central African Republic.
-
Fighting coronavirus: 4 ways analytics is making a differenceCoronavirus has separated us from family, friends, cultural and religious communities. Unfortunately, isolation is essential to slowing the spread of the virus. What else can be done? Learn how analytics is being used to improve responses to the coronavirus outbreak.
-
Analytics leads to lifesaving cancer therapiesA long-shot treatment offers hope to 10-year-old Harrison after he learns the DNA profile of his cancer is resistant to chemo. Find out how data and analytics play a role in cancer research and cancer treatments that are saving lives.
-
How to work like a disrupterFind out what companies like Netflix, Airbnb, Spotify and Lyft know about analytics that you don't know. Learn how to become technologically and analytically mature just like them.
-
As AI accelerates, focus on 'road' conditionsAI technology has made huge strides in a short amount of time and is ready for broader adoption. But as organizations accelerate their AI efforts, they need to take extra care, because as any police officer will tell you, even small potholes can cause problems for vehicles traveling at high speeds.
-
Operationalizing analytics: 4 ways banks are conquering the infamous ‘last mile’Here are four examples across the banking industry that show how these leading organizations followed a clearly defined path to conquer the infamous 'last mile' of analytics.
-
ModelOps: How to operationalize the model life cycleModelOps is where analytical models are cycled from the data science team to the IT production team in a regular cadence of deployment and updates. In the race to realizing value from AI models, it’s a winning ingredient that only a few companies are using.
-
AI in government: The path to adoption and deploymentThe government sector is lagging in AI adoption, but awareness of the importance of AI in the public sector is increasing. Our survey indicates that operational issues are requiring governments to turn their attention to AI projects as a way to address important public issues.
-
From Apollo to AI: A new era of American explorationAs we celebrate the 50th anniversary of the Apollo 11 mission, what’s the next frontier for American Innovation? It’s available now, from our desks and waits for us to unlock its potential.
-
拆解AI臨床醫學救治應用！AutoML成下波進化關鍵全球掀起智慧醫療、精準醫療的浪潮，隨著人工智慧(AI)技術及落地應用越趨成熟，讓AI在醫療領域各項試點發展愈來愈蓬勃，尤其許多醫護人員已開始藉助AI回饋至臨床研究。而隨著資料科學平民化趨勢興起，下一步，掌握跨界整合醫學專業及資料科學的利器:「自動化機器學習（Auto Machine Learning, AutoML）」技術，還將有機會讓醫療單位不雇用資料科學家，也能做AI分析!
-
預防虐兒、打擊毒品⋯⋯佛心AI默默做了哪些善事？AI帶動國家機器轉型。從社會福利資源的分配、兒童毒品上癮、火警預測到法律扶助，政府與非營利組織都會是這場新興科技運動參與者。
-
面對綠天鵝氣候風險 金融業需要做到動態衡量分析1,050億美元是什麼概念？這大約是斯洛伐克去年的GDP，也是今年一整年預估全球天災造成的保險損失。
-
升級行銷提升 50% 營收！深化品牌會員經營的「CDP平台」是什麼？在多螢、多通路、多媒體的年代，消費者足跡變得越來越破碎化，消費者可能在 LINE 上看到某項產品訊息後，先打開電腦上網搜尋網友使用心得，下班回家再繞去門市看一下實際的外觀和感覺，最後拿起手機趁著電商平台推出促銷活動時下單。
-
AI 導入起手式！ 企業該具備的原則與策略是什麼？人工智慧的發展持續擴增經濟型態，舉凡企業、政府與各新創公司無不趨之若鶩，宣示插旗。在2018年7月，一份國際調查報告（註）中，過半（51%） AI早期採用者的組織表示部署 AI 「獲得實質成效」，77%認為「分析技術」在其中扮演重大角色。但實務上，許多企業的AI發展仍處於沙盒演練狀態，究竟分析技術如何協助企業部署AI？還有哪些基礎建設，是這些表示已改善流程、提高營利的組織，所共通投入的做法？
-
拆解AI臨床醫學救治應用！AutoML成下波進化關鍵全球掀起智慧醫療、精準醫療的浪潮，隨著人工智慧(AI)技術及落地應用越趨成熟，讓AI在醫療領域各項試點發展愈來愈蓬勃，尤其許多醫護人員已開始藉助AI回饋至臨床研究。而隨著資料科學平民化趨勢興起，下一步，掌握跨界整合醫學專業及資料科學的利器:「自動化機器學習（Auto Machine Learning, AutoML）」技術，還將有機會讓醫療單位不雇用資料科學家，也能做AI分析!
-
薄酒萊如何新鮮準時送到你手中？酒莊用AI預測供需 退貨減80% 時序入冬，迎來法國的薄酒萊產季，每年11月第三個週四，是薄酒萊新酒全球同步上市的日子，全世界的人們都能一起舉杯品嚐，歡慶年度盛宴。為了不讓葡萄酒供不應求，美國葡萄酒酒莊開始運用AI分析，提高消費者需求預測的準確度。
-
9.2萬洗腎病患，如何用AI即時預判心臟衰竭救命？AI在醫療臨床上的應用，從醫療影像腫瘤偵測、生理資料判讀到用藥安全偵測等，持續蓬勃發展。近日更看到被稱為「洗腎王國」的台灣，也發展出用AI「即時」預判洗腎併發症風險的創新案例，讓醫護得以搶先介入處置，杜絕憾事發生。
-
境外移入案例頻傳！AI如何找出最高風險感染者？台灣有幸重啟社會經濟活動，進入樂活防疫階段，但是邊境解封壓力不斷襲來、第二波疫情回擊警鐘猶在，位居前線的「疫調工作」成為無法鬆懈的關鍵任務。
-
從 2 個月縮減到 15 分鐘！智能服務中台，怎麼加速數據分析串聯商業場景？元宇宙（Metaverse）是近月來科技產業的熱門議題，不論元宇宙這個夢想是否會成真，但有一點可以肯定的是，元宇宙背後所代表的「數位場景創新」已是必然的發展趨勢，未來數位場景的變化只會越來越快且趨向多元，企業必須在各種創新場景中，提供快速且細緻的個人化智能服務，才能穩住競爭優勢。
-
更早面臨醫護人力不足、資源調度不及， 國外醫院如何靠AI最佳化醫療資源?近日台灣進入Omicron疫情高原期，大量病患湧入醫療院所與急診室，造成醫護工作超載、醫療資源短缺。借鏡國外，曾遭遇比我們更窘迫的人力與物力極限的歐美醫院，部分領先者是如何加速轉型，投入醫療資源最佳化，以緩解營運壓力?
-
![[全台供應鏈調查 – 上] 2022年市場持續動盪，企業如何預測客戶需求做好避震？](https://www.sas.com/zh_tw/insights/articles/analytics/supply-chain-survey-taiwan-2022-01.transform/width319/image.1647220084331.jpg)
[全台供應鏈調查 – 上]2022年市場持續動盪，企業如何預測客戶需求做好避震？貿易戰長期化、疫情蔓延、嚴重缺料讓供應鏈預測變得越來越難，為協助台灣企業在疫後新常態中搶占需求預測先機，天下雜誌與SAS攜手進行《全台供應鏈需求預測調查》，結果顯示領先者勝出的兩大關鍵：有能力納入外生事件優化預測精準度、具備相對充足人才管理需求預測。
-
挺進2022下半場！「超自動化」——你必須認識的科技趨勢時序悄悄推進至2022年下半年，展望延續至2023的科技布局，讓我們來談談近期被研究機構多次提及的科技趨勢——「『超』自動化 （Hyperautomation）」，以及當它被導入商業應用會造就什麼景況？
-
![[全台供應鏈調查 – 下] 2022年市場持續動盪，企業如何預測客戶需求做好避震？](https://www.sas.com/zh_tw/insights/articles/analytics/supply-chain-survey-taiwan-2022-02.transform/width319/image.1647220084331.jpg)
[全台供應鏈調查 – 下]2022年市場持續動盪，企業如何預測客戶需求做好避震？貿易戰長期化、疫情蔓延、嚴重缺料讓供應鏈預測變得越來越難，為協助台灣企業在疫後新常態中搶占需求預測先機，天下雜誌與SAS攜手進行《全台供應鏈需求預測調查》，結果顯示領先者勝出的兩大關鍵：有能力納入外生事件優化預測精準度、具備相對充足人才管理需求預測。
-
2021年，台灣製造業如何靠AI繼續逆風高飛？
-
「綠天鵝」來了！氣候危機恐致金融危機 全球央行將氣候變遷風險納監管氣候危機衝擊各行各業，影響全球經濟穩定，甚至引發金融危機。全球政府及央行正將氣候變遷因子納入金融業壓力測試，綠天鵝振翅，怎麼預測牠詭譎的路徑？
-
地球日，滑手機救雨林！95國人民一年標註9萬衛星影像 教AI抓濫墾近日台灣水情緊張，乾旱反映的正是迫在眼前氣候變遷危機。迎來4月22日世界地球日，來看看人工智慧如何透過保護生物多樣性，拯救人類的未來。
-
AI 導入起手式！ 企業該具備的原則與策略是什麼？人工智慧的發展持續擴增經濟型態，舉凡企業、政府與各新創公司無不趨之若鶩，宣示插旗。在2018年7月，一份國際調查報告（註）中，過半（51%） AI早期採用者的組織表示部署 AI 「獲得實質成效」，77%認為「分析技術」在其中扮演重大角色。但實務上，許多企業的AI發展仍處於沙盒演練狀態，究竟分析技術如何協助企業部署AI？還有哪些基礎建設，是這些表示已改善流程、提高營利的組織，所共通投入的做法？
-
「全美最佳醫院」如何用AI超前部署？
-
連假人擠人？引進這種交通AI就不必擔心塞車、買不到票2020年從開春動盪至今，台灣在公衛與醫療體系的超前部署，使我們得以領先全球進入後疫情時代，努力踏上復甦之路。但展望未來，超前部署之外，國內醫療體系能否藉此次衝擊更完備體質，迎接下次大流行？或將這次應戰的動能，反饋在優化日常營運上?
-
地球日，滑手機救雨林！95國人民一年標註9萬衛星影像 教AI抓濫墾近日台灣水情緊張，乾旱反映的正是迫在眼前氣候變遷危機。迎來4月22日世界地球日，來看看人工智慧如何透過保護生物多樣性，拯救人類的未來。
-
疫情期間，AI如何撐起醫護心理健康，預防憂鬱自殺？臉上印著N95口罩痕跡，忍著身體不適，在炎炎夏日穿著全套防護衣來回穿梭。醫護人員為民眾篩檢、治療的身影，成為疫情間台灣最美的風景。
-
再生能源發展 借力AI少走冤枉路節能減排、淨零碳排成為全球共同努力方向，同時全球對於能源的需求也逐年提 高。為讓潔淨能源發揮最大的效益，除了需要發掘更多潔淨再生能源供應外，藉由優化既有發電、輸配電系統，降低無謂損耗，也是重要關鍵之一。
賽仕電腦軟體( S A S ) 台灣總經理陳愷新認為，將AI導入能源架構中，透過大量累積數據的分析，不僅能提高對能源運用需求預測的準確度，同時也能更有效益地調配潔淨能源。將AI應用在輸配電系統的管理上，透過預防保養的概念，能同步降低業者的成本，創造更大的效益。
-
哪些政策在PTT被推爆？後疫情時代做這3件事 轉型AI政府正當時台灣政府在這次新冠肺炎「戰疫」中，展現了高效執行力與資訊科技整合力，攜手民間開發通訊軟體聊天機器人、口罩預購、追蹤警告電子圍籬等系統，讓防疫有效、便民有感，更成為世界楷模。
-
政府如何用AIoT預防極端氣候暴雨？ 國外經驗的四點歸納去年初夏，台北一場強降雨創20年以來時雨量紀錄，連信義都會區都泛濫成河；後續七月暴雨，致山壁塌方造成中南部多個鄉鎮淹水；時至今年初，台北一至二月僅六天沒雨，又破24年降雨紀錄⋯⋯頻繁的極端氣候事件持續在你我周遭上演，除了急起直追的減碳步伐外，國際間近期也展開利用AIoT（人工智慧物聯網），著手大規模的環境監測與防災技術。
-
發展能源多元化前，先用 AI 搞定供電、發電、電網智慧化！限電、停電、竊電等能源危機事件在全球不斷浮現，確保能源供應的穩定性，攸關國家基礎與產業建設發展，也是電力及能源產業最重要的共同目標，然而，影響供電穩定性的因素不計其數，加上更大幅度的氣候變遷，穩定供電與更彈性調度能源成為迫切要解決的挑戰。
-
每年數百位消防員死於公務車禍，AI科學家有什麼解方？前些時候台灣面臨疫情高峰，救護車聲此起彼落，您是否也曾目睹救護車在車陣中閃避的驚心畫面？抑或在職人劇「火神的眼淚」，看到消防員因家屬催促而闖紅燈被撞的情節？
-
後疫情時代零售業的重生之道， 如何提高需求預測準確度？隨著政府逐漸解除各項管控措施，台灣正式邁入後疫情時代。對零售業來說，現今最重要的事，就是增加營收、降低過去幾個月因為疫情而造成的業績衝擊。然而要實現這個目標，光靠發放折價卷或提供購物優惠等方式還不夠，零售業必須從根本做起，提高需求規劃的精準度，才能真正從疫情衝擊中恢復，並建立日後若再面臨類似衝擊時，可以從容應對的能力。
-
後疫情時代零售業的重生之道， 如何提高需求預測準確度？隨著政府逐漸解除各項管控措施，台灣正式邁入後疫情時代。對零售業來說，現今最重要的事，就是增加營收、降低過去幾個月因為疫情而造成的業績衝擊。然而要實現這個目標，光靠發放折價卷或提供購物優惠等方式還不夠，零售業必須從根本做起，提高需求規劃的精準度，才能真正從疫情衝擊中恢復，並建立日後若再面臨類似衝擊時，可以從容應對的能力。
-
只有一半 AI 模型具有商業價值？讓 ModelOps 帶你踏上最後一哩路！相信很多人都聽過 DevOps，但你知道什麼是 ModelOps 嗎？
-
疫後新常態！零售、製造、金融、城市、醫療、教育，哪些趨勢興起？新冠肺炎大流行引發的黑天鵝效應，徹底顛覆全球商業預測和企業經營計畫。
-
預測性別暴力、提升受教權⋯⋯AI如何改變女性的工作與人生？每五位台灣婦女，就有一位面臨親密關係暴力；其中，又以精神暴力的占比最高。正逢國際婦女節，我們從AI及數據的角度出發，能做什麼來增進女性社會地位與強化扶助資源？
-
政府如何用AIoT預防極端氣候暴雨？ 國外經驗的四點歸納去年初夏，台北一場強降雨創20年以來時雨量紀錄，連信義都會區都泛濫成河；後續七月暴雨，致山壁塌方造成中南部多個鄉鎮淹水；時至今年初，台北一至二月僅六天沒雨，又破24年降雨紀錄⋯⋯頻繁的極端氣候事件持續在你我周遭上演，除了急起直追的減碳步伐外，國際間近期也展開利用AIoT（人工智慧物聯網），著手大規模的環境監測與防災技術。
-
預測性別暴力、提升受教權⋯⋯AI如何改變女性的工作與人生？每五位台灣婦女，就有一位面臨親密關係暴力；其中，又以精神暴力的占比最高。正逢國際婦女節，我們從AI及數據的角度出發，能做什麼來增進女性社會地位與強化扶助資源？
-
AI 大規模應用的關鍵：ModelOps 打造「生生流轉」模型生態系
-
只有一半 AI 模型具有商業價值？讓 ModelOps 帶你踏上最後一哩路！相信很多人都聽過 DevOps，但你知道什麼是 ModelOps 嗎？
-
The untapped potential in unstructured textText is the largest human-generated data source. It grows every day as we post on social media, interact with chatbots and digital assistants, send emails, conduct business online, generate reports and essentially document our daily thoughts and activities using computers and mobile devices.
-
AI in manufacturing: New opportunities for IT and operationsAn AI survey reveals that leaders and early adopters in AI are making important advances and are identifying and expanding on what works as they use AI in more ways and more parts of their organizations.
-
The Humanity in Artificial IntelligenceCould artificial intelligence be the change agent we need to solve many problems around the globe? Read how AI could accelerate our ability to have a a positive, lasting impact.
-
AI in banking: Survey reveals factors for successWhat do banking executives report about their experiences with AI? Where are they focusing today? What’s working? What are their plans for the future?
-
What are chatbots?Chatbots are a form of conversational AI designed to simplify human interaction with computers. Learn how chatbots are used in business and how they can be incorporated into analytics applications.
-
How to drill a better hole with analyticsFrom drilling holes to preventing health care fraud, learn about some of the new technologies SAS has patented with IoT and machine learning technologies.
-
Bringing data to the streamHow much do we know about fresh water systems and the dynamic nature of streams and rivers? Find out how one data scientist turned his fascination with streams and rivers into a career.
-
A guide to machine learning algorithms and their applicationsDo you know the difference between supervised and unsupervised learning? How about the difference between decision trees and forests? Or when to use a support vector algorithm? Get all the answers here.
-
Analytics startup focuses on health care optimizationAnalyzing vast amounts of data is key to optimizing health care outcomes, improving patient satisfaction and lowering total costs.
-
Wanted: AI leadersDo you have what it takes to be an AI leader? In this growing field, people skills, innovation and ethics are more important than expertise in artificial intelligence technologies.
-
Machine learning and artificial intelligence in a brave new worldWhat is the interplay between man and machine in a brave new world with AI?
-
3 steps for AI ethicsWill artificial intelligence benefit humanity or usher in a series of unintended consequences? AI ethics may be one way to ensure artificial intelligence is used for good.
-
為何已導入 AI，營運效率還是 NG？讓 AI 上雲提升企業數位韌性
-
您的AI還在沙盒裡嗎？ 那些說已獲AI成效的企業做了什麼？人工智慧(Artificial Intelligence, AI)的發展持續擴增經濟型態，舉凡企業、政府與各新創公司無不趨之若鶩，宣示插旗。在2018年7月，一份國際調查報告 (註) 中，過半(51%) AI早期採用者的組織表示部署 AI 「獲得實質成效」，79%認為「分析技術」在其中扮演「重大」角色。
-
資料科學家還在自己做資料清理與特徵工程？怎麼不讓 AutoML 來幫你！
-
Five questions to help bridge the analytics gapEveryone is turning to analytics for a competitive edge. But the real advantage is in using analytics as a tool for exploration and innovation.
-
Use education dashboards to publicize the value of analyticsHow can education institutions show the effectiveness of their analytics and visualizations? Think about publicizing your key dashboards.
-
Meet the data scientist: Kristin CarneyWhen Kristin Carney graduated with a BS in mathematics, she wasn't sure what she wanted to do with her degree. That’s when she began researching data science.
-
Meet the data scientist: Daymond LingDaymond Ling believes the right personal traits are more important than technical skills when it comes to being a successful data scientist.
-
Meet the data scientist: Colin NugterenData scientist and CAO Colin Nugteren says while every day is different, one thing remains the same. He ends each day with SAS® Visual Analytics.
-
Inside sports analytics: Ten lessons for business leadersPost "Moneyball" many sports teams take a highly analytical approach to winning, and there are several important lessons that businesses can learn. These 10 tips come from research Thomas H. Davenport conducted on more than 25 professional teams.
-
Tips for making the most of your analytics softwareEducators need insights from their data. Learn how to harness big data in education using analytics software.
-
Using data to change the worldApplying data science for social good has led to new and creative ways to address issues related to education, poverty, health, human rights, the environment and more.
-
Analytics enable companies to provide superior customer experience in telco businessToday in a smartphone driven world telecoms need to develop new business strategies and solutions that answer customer demand and support tech innovation.
-
2018年技術趨勢的兩大共性也許在2018年，我們將不再只把AI視為「人工智慧(Artificial Intelligence)」，而將它作為一種「輔助資訊(Assistive Information)」技術。
-
Thwarting disruption with strategic investments in innovationNational Australia Bank turns to innovative strategies, like hackathons, to find new solutions to emerging challenges.
-
Keeping an open mind about open analyticsSome of the smartest data science teams are using SAS alongside open source analytics. Find out how you can use both and deploy all models consistently.
-
Using big data to predict suicide risk among Canadian youthSuicide is the second leading cause of death among youth in Canada. Here's how big data and analytics can be used to help identify at-risk teens.
-
Supporting indigenous communities with analyticsThough indigenous women are a small part of Canada's population, they account for a disproportionately large number of Canada's murder victims. Now, big data and analytics are being used to help improve outcomes.
-
Machine learning for beginners and beyondWhether you’re an experienced data scientist or a machine learning beginner, you’ll appreciate these 10 tips for getting started with machine learning.
-
What is omnichannel analytics?Omnichannel analytics used to mean recognizing and marketing to customers across all channels. Now, smart retailers know it can, and must, mean so much more.
-
資訊超載時代，何不雇個智慧書僮為你擴增溝通力!資訊超載已成這世代的常態，社群與自媒體平台更是加速每位消費者的訊息產出量，如何在漫天的資訊裡利用「文字分析」敏銳地挖掘並解讀顧客及其社群的喜好、觀點，進一步掌握群體的脈動，成為近日企業面對市場溝通策略的新顯學。
-
Concussion: Journalist crunches the numbers and breaks a scandalHow Pulitzer Prize-nominated journalist Alan Schwarz used his stats background to achieve the most remarkable feat in sports journalism history.
-
The University of Alabama makes better decisions through education analyticsAt the University of Alabama, the Office of Institutional Research and Assessments uses analytics and data visualizations to uncover better student outcomes.
-
What’s powering the digital economy? The analytics economy. From the digital economy to the app economy, technology is changing the way we do business and manage resources. Find out how the analytics economy can help you make the most of your data resources.
-
Analytics tackles the scourge of human traffickingVictims of human trafficking are largely invisible. And they're all around us. Now organizations are applying analytics to combat the problem -- and are achieving initial success.
-
Women in analytics: Elisa Gois, MGM ResortsElisa Gois, Chief Analytics Officer for MGM Resorts, went from social work to the C-suite. Here are her top four tips for a successful career in analytics.
-
Student growth measures show the way to educational successStudent test scores don’t tell the whole story about how students are performing. Educators are finding new ways to measure progress.
-
Women in analytics: Katherine Sanborn, Kellogg CompanyA recent college graduate who mentors and coaches incoming interns shares her advice for the newest generation of analytics professionals.
