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Fern Halper's data makes the world go 'round | datamakesworld.com Reviews
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the big wide world of data and analytics
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Does Gender Matter in BI Salaries? – Fern Halper's data makes the world go 'round
https://datamakesworld.com/2015/04/02/does-gender-matter-in-bi-salaries
Fern Halper's data makes the world go 'round. The big wide world of data and analytics. Does Gender Matter in BI Salaries? April 2, 2015. December 27, 2015. There is the argument that women earn less because they choose to work less to be with their children — or that they put in less face time at the office — or that there is discrimination in promoting women (really, imagine that! What’s happening in the specific field of BI? Women appear to earn less in roles where men dominate as well as in roles whe...
Next-Generation Analytics: Four Findings from TDWI’s Latest Best Practices Report – Fern Halper's data makes the world go 'round
https://datamakesworld.com/2015/01/30/next-generation-analytics-four-findings-from-tdwis-latest-best-practices-report
Fern Halper's data makes the world go 'round. The big wide world of data and analytics. Next-Generation Analytics: Four Findings from TDWI’s Latest Best Practices Report. January 30, 2015. I recently completed TDWI’s latest Best Practices Report:. Next Generation Analytics and Platforms for Business Success. What are some of the newer next-generation steps that companies are taking to move ahead? Moving to predictive analytics. Adding disparate data to the mix. Operationalizing and embedding analytics.
advanced analytics – Fern Halper's data makes the world go 'round
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Fern Halper's data makes the world go 'round. The big wide world of data and analytics. Achieving Analytics Maturity: 3 Tips from the experts. February 6, 2015. February 6, 2015. Next-Generation Analytics: Four Findings from TDWI’s Latest Best Practices Report. January 30, 2015. Six skills for predictive analytics. July 8, 2014. Four ways to illustrate the value of predictive analytics. January 24, 2014. Three entry points for big data initiatives. November 18, 2013. September 11, 2013. September 14, 2013.
Achieving Analytics Maturity: 3 Tips from the experts – Fern Halper's data makes the world go 'round
https://datamakesworld.com/2015/02/06/achieving-analytics-maturity-3-tips-from-the-experts
Fern Halper's data makes the world go 'round. The big wide world of data and analytics. Achieving Analytics Maturity: 3 Tips from the experts. February 6, 2015. February 6, 2015. What does it take to achieve analytics maturity? Earlier this week, Dave Stodder and I hosted a webcast with a panel of vendor experts from Cloudera, Microstrategy, and Tableau. These three companies are all sponsors of the Analytics Maturity Model. Crawl, Walk, Run:. TJ Laher, from Cloudera. Vijay Anand from Microstategy. I thi...
Deathtrap: Overlearning in Predictive Analytics – Fern Halper's data makes the world go 'round
https://datamakesworld.com/2013/09/11/deathtrap-overlearning-in-predictive-analtyics
Fern Halper's data makes the world go 'round. The big wide world of data and analytics. Deathtrap: Overlearning in Predictive Analytics. September 11, 2013. September 14, 2013. With regard to education, coincidentally I had the pleasure of speaking to Eric Siegel recently about his book, Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die ( www.thepredictionbook.com. 8211; an important concept in predictive analytics. Overfitting occurs when a model describes the noise or rand...
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experienceintelligence.blogspot.com
Clarablog - Customer Experience, Text Mining, and all that...: August 2009
http://experienceintelligence.blogspot.com/2009_08_01_archive.html
Clarablog - Customer Experience, Text Mining, and all that. Thursday, August 13, 2009. What does Google Voice have to do with Customer Experience Intelligence? Transcript of message (feel free to listen to the message above by clicking the "play" triangle). I got a Google Voice account shortly after the service opened up to new subscribers. Text is the predominant media (in surveys, web sites, emails, and call center notes). Applying NLP to mis-transcribed voice calls can produce humourous, and incorrect...
experienceintelligence.blogspot.com
Clarablog - Customer Experience, Text Mining, and all that...: What things may come… Text Analytics, Customer Experience Predictions for 2011
http://experienceintelligence.blogspot.com/2011/01/what-things-may-come-text-analytics.html
Clarablog - Customer Experience, Text Mining, and all that. Friday, January 14, 2011. What things may come… Text Analytics, Customer Experience Predictions for 2011. Http:/ www.clarabridge.com/ClarabridgeBlog/tabid/189/EntryId/60/What-things-may-come-2011.aspx. And the rush of interest from the analyst community, with folks like Gartner. Hurwitz’s Fern Halper. Constellation’s Ray Wang. All talking about the key role multichannel text and sentiment analytics will play in 2011. Is a mantra for a reason.
experienceintelligence.blogspot.com
Clarablog - Customer Experience, Text Mining, and all that...: September 2009
http://experienceintelligence.blogspot.com/2009_09_01_archive.html
Clarablog - Customer Experience, Text Mining, and all that. Wednesday, September 23, 2009. If a Customer Comment Falls in a Forest and No One is Around to Hear it, Does it Make a Sound? Note: This blog post was originally published on the Clarabridge Blog. You can find the original post here. The conversations have veered into provocative territory on two recent occasions, where we have considered some interesting ethical implications of mining customer experience data. Obligations as a listener. At pres...
experienceintelligence.blogspot.com
Clarablog - Customer Experience, Text Mining, and all that...: Smart Response - a Smart Way to use Text Analytics to Improve Customer Experience
http://experienceintelligence.blogspot.com/2009/03/smartresponse-smart-way-to-use-text.html
Clarablog - Customer Experience, Text Mining, and all that. Monday, March 16, 2009. Smart Response - a Smart Way to use Text Analytics to Improve Customer Experience. Companies need to analyze customer experience feedback 3 different ways:. 1) "What are the 10 things my most profitable customers are most upset about THIS MONTH? 2) "What's new with my customers TODAY? 3) "What should I do for the customer who just complained to me about a bad experience RIGHT NOW? As a response to our client demands for t...
experienceintelligence.blogspot.com
Clarablog - Customer Experience, Text Mining, and all that...: June 2009
http://experienceintelligence.blogspot.com/2009_06_01_archive.html
Clarablog - Customer Experience, Text Mining, and all that. Tuesday, June 30, 2009. Twitter and all that - Part II - Customer Support vs Customer Experience Intelligence. Don't know if you've all seen this article from USA Today last week. It had some interesting insights:. Http:/ www.usatoday.com/tech/news/2009-06-25-twitter-businesses-consumers N.htm. 1) The average "tweeter" posts one tweet. Ever. See this study from Harvard, reported by the BBC. http:/ news.bbc.co.uk/2/hi/tech...While Twitter growth ...
experienceintelligence.blogspot.com
Clarablog - Customer Experience, Text Mining, and all that...: Emotion and Trust and Transparency and Text Mining
http://experienceintelligence.blogspot.com/2009/03/emotion-and-trust-and-transparency-and.html
Clarablog - Customer Experience, Text Mining, and all that. Thursday, March 19, 2009. Emotion and Trust and Transparency and Text Mining. Just came out with a listing of the Seven Great Concerns for CEOs. And it listed one interesting area that touches on issues of importance to the Clarablog. Note highlighted area below). CEO Issue Three: Loss of Business and Governmental Trust. Marketing from the corporations they do business with. Text Analytics, driving business intelligence. Voice of the customer.
experienceintelligence.blogspot.com
Clarablog - Customer Experience, Text Mining, and all that...: Tracking your top 10 Dissatisfaction Drivers
http://experienceintelligence.blogspot.com/2009/05/tracking-your-top-10-dissatisfaction.html
Clarablog - Customer Experience, Text Mining, and all that. Friday, May 8, 2009. Tracking your top 10 Dissatisfaction Drivers. A few days ago Bruce Temkin, from Forrester research, dissected a report frequently deployed by Clarabridge customers called the "Negative Influence" report. Rather than reposting his blog - here's a link to the piece. There's some good commentary from readers following the blog that's also worth reading. Subscribe to: Post Comments (Atom). View my complete profile.
experienceintelligence.blogspot.com
Clarablog - Customer Experience, Text Mining, and all that...: New Study: "Exploring the Link Between Customer Care and Brand Reputation in the Age of Social Media "
http://experienceintelligence.blogspot.com/2008/04/new-study-exploring-link-between.html
Clarablog - Customer Experience, Text Mining, and all that. Wednesday, April 30, 2008. New Study: "Exploring the Link Between Customer Care and Brand Reputation in the Age of Social Media ". Just came across press releases on this study, including this one:. Http:/ www.brandweek.com/bw/news/recent display.jsp? A few salient quotes from a Brandweek article on the study:. Of those industries judged to be doing the best job in using social media to respond to customer service issues, technology, retail and ...
experienceintelligence.blogspot.com
Clarablog - Customer Experience, Text Mining, and all that...: If a Customer Comment Falls in a Forest and No One is Around to Hear it, Does it Make a Sound?
http://experienceintelligence.blogspot.com/2009/09/if-customer-comment-falls-in-forest-and.html
Clarablog - Customer Experience, Text Mining, and all that. Wednesday, September 23, 2009. If a Customer Comment Falls in a Forest and No One is Around to Hear it, Does it Make a Sound? Note: This blog post was originally published on the Clarabridge Blog. You can find the original post here. The conversations have veered into provocative territory on two recent occasions, where we have considered some interesting ethical implications of mining customer experience data. Obligations as a listener. At pres...
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It does. Let us tell you how. ETL vs ELT: It’s all about maintenance! When designing a job, you will have to decide at some point between ETL vs ELT. This boils down to the question if you should perform the transformation to dimensional model in SQL. Or if you want to do it in a programming language. Why, you ask? What does ETL vs ELT mean for you practically? ETL vs ELT: my recommendation. December 17, 2017. December 17, 2017. Leave a comment on ETL vs ELT: It’s all about maintenance! Let me start by s...
Fern Halper's data makes the world go 'round
Fern Halper's data makes the world go 'round. The big wide world of data and analytics. Data Data. Everywhere. December 27, 2015. December 29, 2015. Does Gender Matter in BI Salaries? April 2, 2015. December 27, 2015. Achieving Analytics Maturity: 3 Tips from the experts. February 6, 2015. February 6, 2015. Next-Generation Analytics: Four Findings from TDWI’s Latest Best Practices Report. January 30, 2015. Six skills for predictive analytics. July 8, 2014. January 24, 2014. November 18, 2013. May 22, 2013.
Datamaki - visualizations and stories with data -
Datamaki – visualizations and stories with data. Tableau ranks high among BI solutions. In the post from November. We explained shortly the reasons why Tableau is such a great business intelligence tool. The latest edition of Gartner’s Magic Quadrant for business intelligence vendors ranks it even higher among well established solutions. Source: Magic Quadrant for Business Intelligence and Analytic Platforms, February 2014, http:/ www.gartner.com/technology/reprints.do? March 3, 2014. 1 Official Website ...
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Compare Best CRM Software. The best CRM Software products are determined by customer satisfaction (based on user reviews) and scale (based on market share, vendor size, and social impact) and placed into four categories on the Grid:. Koby Explores The Aromatic Ambience of Customer Experience Analyzing Media. Pay Your Customers What They’re Worth to You Analyzing Media. Rethinking Famous Movie Scenes with a Fun Marketing Data Twist Analyzing Media. I’ve been having a lot of fun on Twitter lately by ...
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