36 articles in this selection
| 2010/11/02 Seven questions that make analytics smarter
In a recent discussion at Boston’s Knowledge Management Forum, KM Forum President Larry Chait and Industry Consultant Jack Vinson shared a series of questions that should be a starting point for improving both decision-making and results. Both recognize that even the best analytics or business intelligence system can be affected by organizational culture, personalities and other external factors. These are just some of the intangibles that sway humans as they make decisions....
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| 2010/11/02 Expedia on how one extra data field can cost $12m
Online travel firm Expedia has found that data analytics can deliver a multi-million dollar kick to a company's bottom line. The company used SAS analytics to identify a single change to a web page that generated an overnight surge in sales, Expedia's VP of global analytics and optimisation Joe Megibow told the SAS Premier Business Leadership Series conference in Las Vegas last week....
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| 2009/12/08 Leverage Statistical Control Limits
One factor that is not appreciated enough is that every metric that you report tends to have a natural "biorhythm", i.e. those metrics will fluctuate up or down and change due to "natural occurrences" that just happen (I can see some of you cringe! :)). These biorhythms are hard to understand, harder still to predict and since many of us live in the Puzzle world rather than the Mystery world we spin our cycle like crazy to understand the numbers to "explain" them to the management so that they can take some action. Imagine getting a daily / weekly trend and it goes up and down and you have no idea what the heck is causing it, even after you have done your damdest to isolate all the variables. The result of these natural biorhythms is that it causes Analysts and Marketers to do analysis and deep dive where none is necessary, it causes some of us to look "bad" because we can't explain the data, and it causes a lack of faith the the ability of data to provides insights....
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| 2009/10/22 5 Ways to Cut Costs with Predictive Analytics
From a Predictive Analytics World keynote by Eric Siegel. Siegel's presentation offered a primer on five popular forms of predictive analytics: response modeling, response uplift modeling, churn modeling, churn uplift modeling and risk modeling. In the process of describing each approach for segmenting customers and improving marketing performance, Siegel offered the following tips....
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| 2009/08/18 Google Insights for Search
With Google Insights for Search, you can compare search volume patterns across specific regions, categories, time frames and properties.
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| 2009/08/17 The Future Of Work - It's Data, Baby
Consider this: IBM is preparing to expand its data analysis employee base from 200 to 4,000 - a staggering twenty-fold increase. You can be certain that a significant portion of this new work force will be untethered, distributed widely across the globe, implying that one of the core skills for a new generation of web workers will be analysis. So, if you're looking to sharpen up your data analysis skills, where do you start?...
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| 2009/08/13 Google Analytics Blog: Analytics Data In Excel Through Our API
Many of our clients use Excel to manage their ad campaigns, visualize marketing performance, and perform complex data analysis. Most analysts use the Google Analytics Export feature to manually export their report data to CSV files. Then they import the CSV file into Excel. No longer! Now, with the Google Analytics API you can bypass this manual step and export Google Analytics data directly from within Excel! Once you've set it up, there's no need to visit the Analytics reports to view data in Excel....
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| 2009/08/10 Seth's Blog: Dashboards
Building good dashboards isn't difficult, but it's an excellent marketing strategy. A few brainstorms.
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| 2009/08/07 For Today's Graduate, Just One Word - Statistics
The rising stature of statisticians, who can earn $125,000 at top companies in their first year after getting a doctorate, is a byproduct of the recent explosion of digital data. In field after field, computing and the Web are creating new realms of data to explore - sensor signals, surveillance tapes, social network chatter, public records and more. And the digital data surge only promises to accelerate, rising fivefold by 2012, according to a projection by IDC, a research firm....
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| 2009/07/31 Some thoughts on BI and analytics in retail banking
Late last year the folks at Datamonitor published Business Intelligence in Retail Banking (Review Report). I finally got to read it today and it is, overall, a very interesting paper and I recommend it to those of you considering your overall BI/analytics strategy in retail banking....
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| 2009/07/28 IBM to Acquire SPSS Inc. to Provide Clients Predictive Analytics Capabilities
ARMONK, N.Y. and CHICAGO, July 28 /PRNewswire-FirstCall/ -- IBM (NYSE: IBM) and SPSS Inc. (Nasdaq: SPSS) today announced that the two companies have entered into a definitive merger agreement for IBM to acquire SPSS, a publicly-held company headquartered in Chicago, in an all cash transaction at a price of $50/share, resulting in a total cash consideration in the merger of approximately $1.2 billion. The acquisition is subject to SPSS shareholder approval, applicable regulatory clearances and other customary closing conditions. It is expected to close later in the second half of 2009....
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| 2009/07/23 AddThis
Social Bookmark & Feed Button Builder, lets you analyze which kind of social bookmarking services your users are using.
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| 2009/07/23 Rise of the Data Scientist
As we've all read by now, Google's chief economist Hal Varian commented in January that the next sexy job in the next 10 years would be statisticians. Obviously, I whole-heartedly agree. Heck, I'd go a step further and say they're sexy now - mentally and physically. However, if you went on to read the rest of Varian's interview, you'd know that by statisticians, he actually meant it as a general title for someone who is able to extract information from large datasets and then present something of use to non-data experts....
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| 2009/06/30 The Best of Business Intelligence
Enough complaining about the broken bits of Business Intelligence; it's time to highlight the things that are good and right in the industry. Like most industries, the renewal and innovation occurs at the fringe, beyond the comfort zone of established vendors. I've created five categories and a catch-all to capture the solutions and companies (not so much technologies) that are leading the next generation of Business Intelligence....
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| 2009/06/19 Open Source Text Analytics
Open source is a great choice for many text analytics users, especially folks who have programming skills, who need custom capabilities or who are trying to get a feel for possibilities before committing themselves. Excellent options are available for all these users. Tools such as Gate, NLTK, R and RapidMiner share the low cost, power, flexibility and community that have driven adoption of open-source software by individual users and enterprises alike. RapidMiner even combines text processing with business intelligence (BI) and visualization functions....
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| 2009/06/17 Jeff Veen Talk: Designing for "Big Data"
A 20-minute talk by Jeff Veen from Small Batch, Inc., also known from WikiRank, which was originally given at the Web2.0 Expo in San Francisco a couple of weeks ago. During the talk, he focuses on some of the classic examples of information visualization (John Snow pump, Minard's map, the tube map, and so on), the issue of "decorating" data versus making it accessible, and the emerging challenge to empower lay people to participate in visualizing and analyzing their own data....
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| 2009/06/11 Vanity Metrics vs. Actionable Metrics
The only metrics that entrepreneurs should invest energy in collecting are those that help them make decisions. Unfortunately, the majority of data available in off-the-shelf analytics packages are what I call Vanity Metrics. They might make you feel good, but they don’t offer clear guidance for what to do....
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| 2008/09/01 Taking CRM to the next level
Businesses are looking beyond operational CRM to customer analytics in hopes of turning data into decisions.
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| 2008/05/16 Corporate Performance Management Solutions from Sterna Technologies
Sterna Business Positioning System™ (BPS) is a groundbreaking business analytics platform that takes corporate performance management to the next level. Coupling predictive analytics with feed-forward principles, it empowers managers to continuously opt...
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| 2008/04/29 Sparkline PHP Graphing Library
We aim to increase the adoption of sparklines on the web by providing a high-quality PHP sparkline library with the following properties: Flexible, Elegant, Free.
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| 2008/04/28 Complex Event Processing
A source of industry neutral information on applications, research, usecases, reference architectures, and developments in event processing, run by Prof David Luckham.
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| 2008/01/08 Open Source Analytics
The Open Source Analytics blog is about delivering on the BI promise using open source software.
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| 2008/01/07 Google Analytics
Google Analytics helps you find out what keywords attract your most desirable prospects, what advertising copy pulled the most responses, and what landing pages and content make the most money for you.
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| 2008/01/05 Many Eyes Data Visualization
Many Eyes is a bet on the power of human visual intelligence to find patterns. Our goal is to "democratize" visualization and to enable a new social kind of data analysis. Jump right to our visualizations now, take a tour, or read on for a leisurely expla...
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| 2008/01/05 Pentaho Commercial Open Source Business Intelligence
Pentaho Corporation provides a full spectrum of open source Business Intelligence (BI) capabilities including reporting, analysis, dashboards, data mining, data integration, and a BI platform that have made it the world's most popular open source BI suite...
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