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Predictive Analytics for Everyone

This blog is about applying predictive analytics to real world problems in business, science and government.

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Predictive Analytics for Everyone | predictive-analytics-for-everyone.blogspot.com Reviews

https://predictive-analytics-for-everyone.blogspot.com

This blog is about applying predictive analytics to real world problems in business, science and government.

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Predictive Analytics for Everyone: September 2011

http://predictive-analytics-for-everyone.blogspot.com/2011_09_01_archive.html

Predictive Analytics for Everyone. This blog is about applying predictive analytics to real world problems in business, science and government. Thursday, September 29, 2011. Tom Davenport writes a good review on Moneyball. A different take on in than Roger Ebert would present - but you will probably learn more from Davenport's commentary. You can read it here: http:/ blogs.hbr.org/davenport/2011/09/six things your company has in.html. Wednesday, September 28, 2011. Predicting Hospital Admissions - 11Ants...

2

Predictive Analytics for Everyone: Analytics Vendors Must Make Prediction Easier, Forrester Says

http://predictive-analytics-for-everyone.blogspot.com/2013/01/analytics-vendors-must-make-prediction.html

Predictive Analytics for Everyone. This blog is about applying predictive analytics to real world problems in business, science and government. Tuesday, January 15, 2013. Analytics Vendors Must Make Prediction Easier, Forrester Says. In case anybody ever doubted it.(! We'd even made a small video on this very topic - you can watch it here. Analytics Vendors Must Make Prediction Easier, Forrester Says. You can read the the full article here. Subscribe to: Post Comments (Atom). Auckland, New Zealand. An In...

3

Predictive Analytics for Everyone: Putting Predictive Analytics to Work

http://predictive-analytics-for-everyone.blogspot.com/2012/07/putting-predictive-analytics-to-work.html

Predictive Analytics for Everyone. This blog is about applying predictive analytics to real world problems in business, science and government. Tuesday, July 31, 2012. Putting Predictive Analytics to Work. Excellent article by Robert Mitchell at Computer World titled. Putting predictive analytics to work - Contrary to popular opinion, you don't need a huge budget to get started.'. I couldn't agree more. It begins:. The Orlando Magic's analytics team spent two years honing its skills on the business side.

4

Predictive Analytics for Everyone: March 2011

http://predictive-analytics-for-everyone.blogspot.com/2011_03_01_archive.html

Predictive Analytics for Everyone. This blog is about applying predictive analytics to real world problems in business, science and government. Friday, March 18, 2011. Predictive Analytics - The New Avenue for Cost Savings at Transport and Logistics Companies. We can safely say that a business running closer to the scheduled end of the scheduled/reactive continuum is better for all stakeholders (including the fork lift driver's wife who knows if her husband will be home for dinner or not.). 3 Deliver goo...

5

Predictive Analytics for Everyone: The Predictive Analytics for Everyone Blog has moved!

http://predictive-analytics-for-everyone.blogspot.com/2014/07/the-predictive-analytics-for-everyone.html

Predictive Analytics for Everyone. This blog is about applying predictive analytics to real world problems in business, science and government. Tuesday, July 22, 2014. The Predictive Analytics for Everyone Blog has moved! Apologies for making it more complicated than it needs to be, but this blog has now moved to: www.11antsanalytics.com/blog. Where we continue to write about things analytics. Subscribe to: Post Comments (Atom). There was an error in this gadget. Auckland, New Zealand. A major problem in...

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Paasel Blog: febrero 2012

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Información relevante sobre innovación en herramientas de BA y GeoAnalytics. Lunes, 13 de febrero de 2012. Guía de precios de vivienda 2012. PAASEL colabora en la revista Metros Cúbicos en el análisis de los precios de vivienda. Si bien en el tema inmobiliario no hay garantías, hay colonias en que los precios de las propiedades son más atractivos y cuyo valor en el tiempo crece más que en otras zonas. Si te interesa conocer la información de forma dinámica puedes consultar la siguiente. Mi lista de blogs.

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Paasel Blog: 7 hábitos en el desarrollo de procesos analíticos

http://paasel.blogspot.com/2011/10/7-habitos-en-el-desarrollo-de-procesos.html

Información relevante sobre innovación en herramientas de BA y GeoAnalytics. Martes, 18 de octubre de 2011. 7 hábitos en el desarrollo de procesos analíticos. Hace unos días leí un artículo de Norman Comstock sobre los 7 hábitos que siguen equipos de desarrollo en procesos analíticos en línea (OLAP). Un resumen de los hábitos se presenta a continuación:. Hábito 1: Visualiza la solución. Habito 2: Diseñar con el fin en mente. Es crucial que se tenga una retroalimentación con todos los usuarios potenciales...

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Paasel Blog: agosto 2011

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Información relevante sobre innovación en herramientas de BA y GeoAnalytics. Martes, 30 de agosto de 2011. Estos servicios proveen a los clientes de Paasel de herramientas capaces de predecir comportamientos de venta o distribución de acuerdo a variables geográficas a partir de modelos de análisis con fundamentos matemáticos permitiendo:. 8226; Incrementar considerablemente el nivel de confianza de dichas predicciones. 8226; Ahorrar dinero en estudios de mercados para cada ubicación a considerar. 8226; E...

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i Customer Analytics: Are You a Data Scientist?

http://icustomeranalytics.blogspot.com/2011/11/are-you-data-scientist.html

Are You a Data Scientist? 剛剛看到兩篇講「Data Scientists」的文章,認為深得我心,所以藉此一角跟大家分享。 開頭就說Data Scientists的特質是好奇心和樂於探索大量資料(underscored by the harder-to-teach. Characteristics of curiosity and a willingness to explore large amounts of data),我自認同時具備這兩種特質,但是吸引我目光的是 harder-to-teach. 這個形容詞。自從Data Mining開始被國內的大企業採用後,有些學校也開辦了Data Mining的課程。雖然學生可以在這些課程中學習到相關的理論、技巧、軟體操作,「特質」卻是很難學習而來的,而我個人認為特質才是決勝的關鍵因素。 訪問了舊金山灣區一家作分析的公司的創辦人,他認為所謂的Data Scientists具備了下列三種技能:. 前兩項技能也是學校的Data Mining課程可以學到的,但是課堂上會不會教Data visualization,...自認對發現patter...

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i Customer Analytics: 十二月 2013

http://icustomeranalytics.blogspot.com/2013_12_01_archive.html

上圖是我今天收到 Amazon.com 寄給我的行銷 Email(點選可放大),雖然 Amazon.com 精準的計算出這些都是我有興趣的書,但卻忘了排除我已經跟他們買過的第二本《Show Me the Numbers: Designing Tables and Graphs to Enlighten》和第四本《Taming The Big Data Tidal Wave》。尤其第二本是我上個月才下單買的,而且也是因為我買了第二本才 trigger 他們發這封行銷資訊給我的,所以算是被我抓到一個小小的 bug 吧! 自從我在今年8月貼出 《高成本的低成本行銷溝通管道》. 今天在電子報裡看到 《10 Best Bets for Avoiding the Spam Filter》. 這篇文章,內容綜合美國幾家 Email Marketing 服務業者的意見,列舉了10種避免 Email 被判別為垃圾郵件的小撇步,在此轉介給有興趣的人士參考。 訂閱: 文章 (Atom). 本書榮獲美國國會圖書館、澳洲國家圖書館、美國康乃爾大學圖書館列為館藏。 Are You a Data Scientist? 結束了為期五個...

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i Customer Analytics: 十月 2013

http://icustomeranalytics.blogspot.com/2013_10_01_archive.html

昨天在家裡訂的《國語日報》上看到一則關於國道計程收費的新聞,內容基本上跟中央通訊社網站發布的 【國道計程 75%車日省45元】. 這一則相同(其他新聞媒體也有類似的敘述):. 交通部國道計程費率最終版今天定案。高速公路局估計,計程上路後,與現在計次相比,. 12290;‧‧‧‧‧‧. 我想交通部公布這個省錢數字的用意,是要讓大家相信新的計費方式很優惠,以便獲得大眾的支持。我剛看到這新聞的時候,也的確有這種省錢的感覺,只是我的感性不到幾秒鐘就被理性壓制住了。 新聞說3/4的車輛可以省錢,那麼我的車究竟屬不屬於這3/4?假設我真是這幸運的3/4裡的一員,我一個月跑高速公路頂多兩次,也會平均每天省45元嗎?(當然不會). 訂閱: 文章 (Atom). 威斯康辛大學麥迪遜校區(University of Wisconsin-Madison)電機博士。雖然在電機系拿學位,論文裡卻都是數學式子。 工作之外的主要興趣是航空史的研究,多年前出版過一本《無人飛機祕密檔案》,第二本書 《快刀計畫揭密》. 本書榮獲美國國會圖書館、澳洲國家圖書館、美國康乃爾大學圖書館列為館藏。 Are You a Data Scientist?

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i Customer Analytics: 十一月 2013

http://icustomeranalytics.blogspot.com/2013_11_01_archive.html

看到 Data Artist 這個名詞,作者把 Data Artist 描述成運用資料和分析工具作為顏料和畫筆的藝術家,這樣的比喻著實讓我眼睛一亮,但是有沒有比較明確的定義呢?這篇文章說:. A data artist is responsible for delivering fresh insights from data to help an organization meet its goals. This is the person who takes the output from decision-support systems and turns it into consumable theories, postulates and hypotheses that can be tested and applied to the business. 所以上面提到的 Data Artist 看來只是作者自己發明的新名詞,並非一個新的 profession。(失望中). 我在兩年前寫的 《Are You a Data Scientist? 訂閱: 文章 (Atom). 後來轉向顧客行為資料分...

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i Customer Analytics: 六月 2014

http://icustomeranalytics.blogspot.com/2014_06_01_archive.html

看過我的履歷或是知道我工作經驗的人,多半會對我變換雇主的次數感到訝異。沒錯,我變換工作的次數不少,但這只是我的履歷能夠顯示出來的部份。從履歷看不出來的,是我這些工作的雇主其實大多也在改變,而我的改變幾乎都是為了不變。 聽起來像繞口令?且讓我說明:近十年來,儘管我從雇主A換到雇主B,或是從甲方變成乙方,又變成甲方,我從事的職務都是顧客資料分析(Customer Analytics),一直沒有變過。所以嚴格說起來,我只有換雇主,沒有換工作。我之所以要改變雇主,通常是他們在我受雇的期間對顧客資料分析的看法、態度有了改變,導致我的工作主軸也起了變化。而我為了要能繼續在顧客資料分析這方面發揮,在確定無法讓我的雇主有所轉變後,就只好把他們換掉。 訂閱: 文章 (Atom). 威斯康辛大學麥迪遜校區(University of Wisconsin-Madison)電機博士。雖然在電機系拿學位,論文裡卻都是數學式子。 工作之外的主要興趣是航空史的研究,多年前出版過一本《無人飛機祕密檔案》,第二本書 《快刀計畫揭密》. Are You a Data Scientist? 都是 Big Data 惹的禍? 2012年6月&...

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i Customer Analytics: 五月 2014

http://icustomeranalytics.blogspot.com/2014_05_01_archive.html

我的公司在月初辦了一場有關 Big Data 的大型活動,我擔任了其中一個 session 的主講,跟與會者分享零售業的巨量資料應用。在講題裡置入「巨量資料」之名只是奉公司之命,當天我的基調依然是不要太迷信這個名詞(如果您看過我這個部落格的其它文章,就可以了解為什麼),而應該先把公司既有的資料運用到極致。受到法律與規定的限制,我無法在此提供當天的投影片,不過這可能反而是個好處,畢竟投影片是用來 present 的,不是拿來閱讀的。以下我就透過文字和連結,分享那天我報告的大部分內容。 跟金融業與電信業比起來,零售業在運用資料分析來協助企業的決策上是相對較遲的(但不可否認零售業裡有少數在這方面的先驅)。根據《經濟學人》智庫 Economist Intelligence Unit 在 2013 年所做的研究報告 The Data Storm - Retail and the Big Data Revolution. 說笑歸說笑,我自己對顧問的定義是「協助 顧. 65292;這種現象在 Big Data 被強力炒作的情況下更為常見。例如:. 訂閱: 文章 (Atom). 威斯康辛大學麥迪遜校區(U...

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i Customer Analytics: 八月 2014

http://icustomeranalytics.blogspot.com/2014_08_01_archive.html

Action. Action. Action. 我是電機系出身的,在學校的時候學過 D2A converter (但現在全還給學校了),也就是 Digital-to-Analog converter 的縮寫。只是這篇文章不談如何把數位訊號轉換成類比訊號,標題的 D2A 是指 Data to Action ,因為 資料分析的最終目的是讓我們決定採取(或決定不採取)行動. 我在十年前幫客戶建分群模型時,不時被客戶 challenge 說他們要的是 actionable. Segments。所以在說明分群結果時,我們非常重視是否真的 actionable。沒想到十年過去,我還在協助(其他的)客戶建分群模型。我用 k. 訂閱: 文章 (Atom). 威斯康辛大學麥迪遜校區(University of Wisconsin-Madison)電機博士。雖然在電機系拿學位,論文裡卻都是數學式子。 工作之外的主要興趣是航空史的研究,多年前出版過一本《無人飛機祕密檔案》,第二本書 《快刀計畫揭密》. 本書榮獲美國國會圖書館、澳洲國家圖書館、美國康乃爾大學圖書館列為館藏。 Are You a Data Scientist?

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Predictive Analytics for Everyone

Predictive Analytics for Everyone. This blog is about applying predictive analytics to real world problems in business, science and government. Tuesday, July 22, 2014. The Predictive Analytics for Everyone Blog has moved! Apologies for making it more complicated than it needs to be, but this blog has now moved to: www.11antsanalytics.com/blog. Where we continue to write about things analytics. Links to this post. Tuesday, January 15, 2013. Analytics Vendors Must Make Prediction Easier, Forrester Says.

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