April 13th 2010

Video: Andreas Weigend’s keynote at Predictive Analytics World

Video now available for viewing:

Predictive Analytics World keynote address, “Predictive Power Part II: Advanced Analytics in the New Data Economy,” February 16, 2010 in San Francisco.

Speaker: Andreas S. Weigend, Ph.D., Former Chief Scientist, Amazon.com

You can watch the video on the PAW website homepage: http://www.predictiveanalyticsworld.com

“Welcome to the New Data Economy, bringing new rules, reason and requirements to the commercial data miner. What’s new? The relentless focus on value for the consumer, corresponding new revenue models, and ubiquitous data collection capabilities are here to stay, delivering a whole new world of opportunity and challenge for the practitioner of advanced analytics.”

For the full keynote description, see http://www.predictiveanalyticsworld.com/sanfrancisco/2010/agenda.php#day1-8a

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March 25th 2010

Rexer Analytics Survey Report: Available for Immediate Download

Now updated as of March 2010: The Rexer Analytics 2009 Data Miner Survey

We are excited to offer a 48 page executive summary of the Rexer Analytics 2009 Data Miner Survey. From the most popular software tools to which verticals have embraced modeling – the Rexer Analytics 2009 Data Miner Survey report is truly a valuable resource.

Click here for immediate access to the survey

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March 20th 2010

WEBCAST: Top 5 Ways to Leverage Web Data for Predictive Analytics

Would you like to find out:

1. How your online business can benefit from predictive analytics

- or -

2. Even if your business is not entirely online, how web data can be leveraged with – and provide a benefit to – predictive analytics

Then join me when I present:

WEBCAST: Top 5 Ways to Leverage Web Data for Predictive Analytics

March 31, 2010, 1:00pm EDT

Hosted by Unica.

In this webcast, Dr Siegel presents an introduction to predictive analytics and examples of real-world success, including a one million dollar success story. Learn how the use of next generation web analytics and predictive analytics can improve your ability to take actions that increase revenue, as well as:

– Improve customer retention
– Facilitate behavior-based ad selection with AB testing data
– Trigger email follow up campaigns
– Target responders avoid adverse effects

Dr. Siegel will be joined by Akin Arikan, Director of Product Strategy, Unica. Arikan is a web analytics expert, noted speaker and writer.

Click here to register

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March 17th 2010

Webinar on Data Preparation: March 25

We all know data preparation can be foreboding, yet is absolutely critical. But do we really know how forboding – yet how critical – it promises to be?

Join us for an Information Management “Espresso Shot Web Seminar,” on which I will be speaking along with Kyle Weeks, PhD, Director of Product Management, SPSS, an IBM Company.

Minding Data before Data Mining: Successful Data Preparation

March 25, 2010, 12:00PM ET

You’ll learn new techniques for speeding through data preparation – without sacrificing the reliability of your results. You’ll hear how you can:

- Clean up “dirty” data in a few easy steps
- Keep outliers or other anomalies from skewing your data¥and your results
- Impute values for missing data using proven, reliable techniques
- Automate data preparation while maintaining a clear, detailed view of your data

For more information and to register (free of course):

http://www.information-management.com/web_seminars/-10017188-1.html

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March 14th 2010

Predictive Analytics Seminar: April in NYC and May in San Jose

Here is the 2010 schedule for the predictive analytics training program I facilitate (instruct) – we’ve updated the materials and are raring to go in NYC, San Jose and later San Francisco.

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Predictive Analytics for Business, Marketing and Web

April 22-23 (NYC), May 7-8 (San Jose), and Oct 28-29, 2010 (San Francisco)

A two-day intensive seminar brought to you by Prediction Impact, Inc.

98% rate the instructor Excellent or Very Good.

“At Intuit we’re already using data as an asset on the web, but this
course makes it very concrete how we can take it to the next level.”

Jared Waxman, Web Analytics Leader
Intuit

Or take the e-course ONLINE – immediate access, on demand – see http://www.predictionimpact.com/predictive-analytics-seminar.html

Bring this course on-site. Give your personnel a complete understanding of predictive analytics, on your premises and at your convenience – see www.predictionimpact.com/analytics-training.html

**The official training program of Predictive Analytics World**

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ABOUT THIS SEMINAR:

Business metrics do a great job summarizing the past. But if you want to predict how customers will respond in the future, there is one place to turn–predictive analytics. By learning from your abundant historical data, predictive analytics provides the marketer something beyond standard business reports and sales forecasts: actionable predictions for each customer. These predictions encompass all channels, both online and off, foreseeing which customers will buy, click, respond, convert or cancel. If you predict it, you own it.

The customer predictions generated by predictive analytics deliver more relevant content to each customer, improving response rates, click rates, buying behavior, retention and overall profit. For online applications such as e-marketing and customer care recommendations, predictive analytics acts in real-time, dynamically selecting the ad, web content or cross-sell product each visitor is most likely to click on or respond to, according to that visitor’s profile. This is AB selection, rather than just AB testing.

Predictive Analytics for Business, Marketing and Web is a concentrated training program that includes interactive breakout sessions and a brief hands-on exercise. In two days we cover:

• The techniques, tips and pointers you need in order to run a successful predictive analytics and data mining initiative

• How to strategically position and tactically deploy predictive analytics and data mining at your company

• How to bridge the prevalent gap between technical understanding and practical use

• How a predictive model works, how it’s created and how much revenue it generates

• Several detailed case studies that demonstrate predictive analytics in action and make the concepts concrete

• Five Ways to Lower Costs with Predictive Analytics

No background in statistics or modeling is required. The only specific knowledge assumed for this training program is moderate experience with Microsoft Excel or equivalent.

“An excellent overview on how to start using predictive analytics in any organization! In just two weeks I already have buy-in from upper management…”

Jennifer Boland, Onsite Marketing Analyst
Sierra Trading Post

“A very insightful and interesting seminar. I plan to put data mining and predictive analytics to work for us right away thanks to your ability to make this an approachable subject.”


Rob Ford, Director Pricing
Getty Images

For more information, visit http://www.predictionimpact.com/predictive-analytics-training.html, or e-mail us at training@predictionimpact.com. You may also call (415) 683-1146.

Cross-Registration Special: Attendees earn $250 off the Predictive Analytics World Conference

SNEAK PREVIEW VIDEO: http://www.predictionimpact.com/predictive-analytics-training.html

Early-Bird Special: $100 off early registration if registered three weeks before event.

April 22-23, 2010 (New York, NY) Penn Pavilion, 450 Seventh Ave. 10001 212-502-8728 (early bird disc: April 1, 2010)

May 7-8, 2010 (San Jose, CA) The Fairmont, 170 South Market Street. 95113 (866) 540-4493 http://www.fairmont.com/sanjose (early bird disc: April 16, 2010)

Oct 28-29, 2010 (San Francisco, CA) AMA Conference Center, in the San Francisco Marriott Hotel, 55 Fourth St. http://www.amaconferencecenters.org/san-francisco.htm (early bird disc: Oct. 7, 2010)

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March 11th 2010

PAW: Save-the-Date for Oct 19-20, & Call-for-Speakers

Save-the-date for the next PAW: October 19-20, 2010 in Washington DC

Predictive Analytics World is the business-focused event for predictive analytics professionals, managers and practitioners. This conference covers today’s commercial deployment of predictive analytics. It is the only conference of its kind, with sessions and content reaching across business applications, across industries, and across vendors of solutions and software.

“Predictive Analytics World was probably the best analytics conference I have attended, from a knowledge point of view, in a long time…[and] turned into my new must-go-to conference.”

Dennis R. Mortensen
Director of Data Insights
Yahoo!

Click here to register for our informative event updates

Click here for more information about Predictive Analytics World

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Speaker proposals deadline:
April 16, 2010

Join PAW to share how predictive analytics delivers a business impact for your organization. Here is the opportunity to present your work deploying predictive analytics, predictive modeling, product recommendations, response modeling, churn modeling, behavior-based content/ad selection, customer segmentation, fraud detection or other incarnations of predictive analytics.

Speak to a valuable audience. PAW draws attendees from heavy-hitters such as Apple, Booking.com, Business Objects, Capital One, Charles Schwab, Digi-Key, e-Dialog, eBay, efficient frontier, Ernst & Young, Expedia, Hewlett-Packard, HSBC, Intuit, LexisNexis, Mars, Merkle, MetLife Auto & Home, MindTree, NEC Laboratories America, Orange Labs, Pacific Northwest National Laboratory, PayPal, Premera Blue Cross, PricewaterhouseCoopers, Razorfish, Stamps.com, Thermo Fisher Scientific, and many many more.

As a PAW speaker, you’ll be in good company. For example, last month’s PAW included case studies from the following companies: 1-800-FLOWERS, Amazon.com, AT&T, BBC, Canadian Automobile Association, Charles Schwab, Continental Airlines, Deutsche Postbank, Google, Group RCI, IBM, PASSUR Aerospace, PayPal (eBay), Sun Microsystems, U.S. Army, Walmart Financial Services, Younoodle, and more, plus special examples from the U.S. government agencies CBP, NCMI, NGIC, NSA, and SSA.

PAW is a one-of-a-kind event:

  • While focused on commercial deployment rather than research and development, the conference is substantive in predictive analytics
  • PAW is the only such vendor-neutral event
  • PAW has two tracks: expert/practitioner, and all-levels
  • Chaired by a former Columbia University professor with a decade of commercial experience
  • Run by the producers of the eMetrics Marketing Optimization Summit (the leading web analytics conference), and the acclaimed predictive analytics training program, Predictive Analytics for Business, Marketing and Web.

Click here for more information about the call-for-speakers, and for the speaker submission form

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February 6th 2010

Hot Demos of Leading Software Solutions: Labs at Predictive Analytics World

Feb 16-17’s Predictive Analytics World introduces a new kind of session: Labs, which deliver live demonstrations of leading analytics software solutions. PAW Labs reveal how these software tools excel in some of the hottest arenas of predictive analytics.

PAW Lab: “Successful application of text analytics to real world business issues”
Sponsored by SAS

PAW Lab: “Better Debt Pricing and Recovery”
Sponsored by Vortex DNA

PAW Lab: “Publishing Profitably with Predictive Analytics”
Sponsored by SPSS, an IBM Company

PAW Lab: “Addressing Analytics Challenges in the Retail and Insurance Industries”
Sponsored by Salford Systems

More information about Predictive Analytics World

Complete overview of the conference agenda

Register for Predictive Analytics World

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January 30th 2010

Predictive Analyics World Feb 16-17: What People Are Saying About It

Predictive Analytics World is Feb 16-17 in San Francisco. Here’s what people are saying about it.

“PAW was one-of-a-kind. Typically any type of thought leadership conference might be 90% generalized or theoretical sessions, whereas PAW was almost all strategic/tactical sessions. It is the only conference I have attended thus far that has challenged me to take my strategic and analytical thinking to the next level.”
Jared Vestal
Director of Marketing Analytics
RESTAURANT.COM

“This is the Analytical Conference for real analysts and I’m planning to recommend it to my colleagues.”
Stephen Yu
VP Database Strategies
infoUSA National Account Division

“We left San Francisco with a long list of actionable items-can’t wait to see what’s on tap for next year!”
Michael C. Foroobar
Sr. Associate – Strategy, Reporting, and Analytics
uShip.com

Read more testimony

Read detailed blog entries about PAW


The sascom magazine blog interviewed me (Eric Siegel, PAW Conference Chair)
about trends in predictive analytics and the upcoming PAW, and I answered these questions:

  • What trends do you see in predictive analytics?
  • What are the top ways you see people dealing with the growing complexity of problems they need to solve?
  • How will the February Predictive Analytics World conference differ from previous conferences? Why should we attend?

Also, Michael Berry of Data Miners posted a blog interview with me (Eric Siegel, PAW Conference Chair), which gets a bit more personal and technical.

More information about Predictive Analytics World

A complete overview of the PAW conference agenda

Click here to register for PAW

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January 24th 2010

Bay Area SAS and R Users Groups at Predictive Analytics World, Feb 16-17

Predictive Analytics World, February 16-17 in San Francisco, will host two Bay Area Users Group meetings. Open admission: come to the exhibit, conference reception and a users group meeting for free.

Date: February 16

Times:
6:30pm:  Predictive Analytics World reception
7:30pm – 10:00pm:  SAS and R Users Group Meetings

The users group meetings are in parallel, at the same time.

Information:

1. Bay Area SAS Users Group Meeting – click for more information

Speakers:
Tonya Etchison Balan, Manager, Analytics Product Management, SAS Institute
Bharat Chitnavis, VP, Business Analytics Partners

2. useR Meeting (Bay Area R Users Group) - click for more information

Speaker:
Analytics pioneer John Chambers

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January 21st 2010

Predictive Analytics World’s Hot Trends: Agenda for Feb 16-17

Predictive Analytics World – coming Feb 16-17 to San Francisco – is bursting at the seams with compelling, detailed, revealing case studies from brand-named companies.

For a quick, meaty snapshot of PAW’s agenda, as well as a review of the hottest work going on in predictive analytics, check out my recent webinar:

Archived BetterManagement webcast: “Predictive Analytics: Hot Trends for 2010″

Available to view any time, on-demand: Click here to access the webcast now

Businesses around the globe have deployed analytics for the business impact it delivers.  Across many industries and departments, predictive analytics has been applied to address a vast range of business challenges.  What’s next?

Trend #1: Innovative applications
Trend #2: New data sources
Trend #3: New methodologies (e.g., uplift – see below)

Most of this webinar is spent on the first: innovative applications. Data-driven models predict new things such as the reliability of hardware and corporate processes alike, and drive all kinds of organizational decisions, for the likes of air traffic management, military operations, mobile consumer applications, and startup investment strategy.

Click here for more information and to view the webinar

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One of Trend #3’s hottest tickets, uplift modeling (a.k.a., net lift modeling), will covered by this keynote address at February’s PAW:

“Response Modeling is the Wrong Modeling: Maximize Impact With Net Lift Modeling”

Keynote Speaker: Kim Larsen of Charles Schwab

The true effectiveness of a marketing campaign isn’t response rate! It’s the incremental impact – that is, additional revenue directly attributable to the campaign that would not otherwise have been generated. Yet traditional targeting criteria are often designed to find clients that are interested in the product, but would have bought it whether or not they received a promotion. In such cases, the incremental impact is insignificant and the marketing dollars could have been spent elsewhere.

Net Lift Models are designed to maximize incremental impact by targeting the undecided clients that can be motivated by marketing. These “swing customers” are akin to the swing states of a presidential election; data miners could learn a lot from presidential campaigns.

Click here for the complete keynote description

Click here for a complete overview of the conference agenda

Click for all other information about PAW

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