12月 292008
 
Welcome to the last Monday of 2008!

Are you sitting at your desk trying to shake off the glow of holiday celebrations? Do you need a little help clearing the cobwebs and getting back to work? I have compiled a short reading list of quick reads that can help you get excited about being back at work. OK, maybe not excited, but it may help you refocus on work and run through the last few work days of the year. My list follows. Did I forget anything?


(Updated 1/6/09) Additions to the reading list:




Links: Risk Intelligence Vendors Review: 2008

 Celnet, FinTech100, Industry Review, Risk, Risk Intelligence, Risk Vendors, RiskTech100  Links: Risk Intelligence Vendors Review: 2008已关闭评论
12月 252008
 
You can get the big picture viewing different sources(REMEMBER: A vendor’s research methodology is as important as its rating):

Chartis RiskTech 100 (October 2008)

FinTech100(2008)
FinTech100(2008): Top 25 Enterprise Companies
FinTech100(2008): Banking Top 10
FinTech100(2008): Capital Market Top 10
FinTech100(2008): Insurance Top 10
Celnet Credit Risk/Basel II Vendors(2008):
12月 252008
 
Thanks Walter, for your comments from Italy that you added to Manya's first post . You gave me the nudge i needed to introduce myself.

Since my role at SAS is in the marketing department, I'll be contributing to this blog with ideas sparked at conferences and networking groups. Your inquiry about how marketers can benefit from TM -- was music to my ears. Allow me to chime in now with my first post.

My academic background is in Operations Research and Management Science - and my passion is applying Math to improve decisions. As the technology marketer for SAS Analytics I cover Data Mining, Simulation, Optimization, Statistics, Forecasting, Visualization, Quality Control as well as Text Mining. My posts will emphasize the practical side of things as i scout about for success stories that generate business benefits across various industry scenarios.

Barry DeVille reminded me to share the web seminars available thru BetterManagement.com. In particular their "conversational marketing" piece sponsored by the AmericanMarketing Association. We invite you to listen to the free audio seminar where you'll hear from Jeff Gilleland, Global Strategist, SAS; Rachelle Spero, SVP Digital Media, Cohn & Wolfe; and Bob Pearson, VP of Communities and Conversations, Dell, as they lead a discussion on the various challenges and opportunities of marketing in the digital age. You'll hear text analytics and linguistic software mentioned as innovative methods already making impacts today.

Stay tuned for more "hits" as i share web groups, discussions, and conferences from those eager to move these "emerging technologies" out into production. Happy holiday greetings to "ya all" (I'm a texan).
12月 242008
 
/*Thanks the hints supplied by:

A look back at 2008 and some crystal ball predictions…, byTammi Kay Geroge, from SASBlog*/

Major Data Warehousing Events of 2008 (and Predictions for 2009), by Michael Schiff, from TDWI,

Major Data Warehousing Events of 2008:

  • Everyone had an appliance story
  • Industry consolidations continued
  • The recessionary environment encourage further BI developments
  • Open source grew

Predictions for 2009:

  • Further industry consolidation(Informatica by HP, SPSS by SAP)
  • Cloud computing will come down to earth
  • Open source growth will accelerate
  • The IT world will become greener
  • Major emphasis on solutions rather than tools and technology

BusinessIntelligence Tools: Year in Review,by Cindi Howson, from BeyeNetwork

Top Virtualization Trends for 2009, by John Suit, from ZDNet

Surround the Warehouse: Prediction for 2009 , by Neil Raden, from IntelligentEnterprise

12月 192008
 

SAS and Teradata Partnership: Press

  1. Leading Companies See Value in SAS and Teradata Partnership
  2. SAS and Teradata Unveil Advantage Program to Bring Powerful In-Database Solutions and Services to Customers
  3. SAS and Teradata Enter into Strategic Partnership


In BI industry, the pure players such as SAS, Teradata and Microstrategy, need to demonstrate their indispensable values against the megavendors, IBM (acquired Cognos), SAP (acquired Business Object), Oracle (acquired Hyperion) and Microsoft. Teradata is solely focused on enterprise data warehouse. SAS, dominating in business analytics (e.g. advanced statistics and data mining), will check and balance the BI industry due to the private-hold structure. SAS and Teradata Advantage Program partnership, includes wide business lines, such as Analytics, AML (Anti-Money Laundering), Credit Risk, Enterprise Intelligence and Optimization Services. I think It’s a effective way to learn from each other in mutual emulation and counterbalance the concentration market.

Santa and SAS Again: Santa’s Dashboard

 Christmas, graph, Robert Allison, Santa, Visualization  Santa and SAS Again: Santa’s Dashboard已关闭评论
12月 182008
 

santaDashBoard

(santaDashBoard.png, With permission by Mr. Robert Allison)

Merry Christmas again. SAS marketing staff started up an interesting Christmas campaign on how Santa operates his workshop. Here is another wonderful work about Santa’s Dashboard, created by SAS senior R&D staff, Robert Allison.

Robert is a master of graphics and visualization. You can view his SAS/Graph examples in the following link:

http://robslink.com/SAS/Home.htm

The Making of an Analyst: A Supplement to What Makes a Good Business Analyst

 Analyst, Industry Review, Rajan Chandras, SASCOM, Ted Cuzzillo  The Making of an Analyst: A Supplement to What Makes a Good Business Analyst已关闭评论
12月 172008
 
I once commented the entry, What Makes a Good Business Analyst by Rajan Chandras, with an easy tone, If You Can Make it Here, You Can Make it Anywhere. The standards of a good analyst conclude by Rajan, in my opinion, are somewhat of very high bars.

In the recent SASCOM Magazine, Ted Cuzzillo published a relatively moderate enty, say, The Making of An Analyst. This paper is considered the fresh graduates to be an analysts in their first job hunting. Yes, there two posts are more compatible than oppositive. Rajan’s targets are those veteran analysts with years of experience.
12月 162008
 
We have launched a new discussion forum at support.sas.com/forums. This forum focuses on using SAS products with accessibility features or with assistive technologies. Lisa Pappas, accessibility analyst at SAS, says "We invite you to join the conversation, posting your questions and solutions." This forum is monitored by SAS staff who test our products for accessibility and with assistive technologies such as JAWS screen reader and ZoomText screen magnifier.

Remeber that you can read the forums by visiting support.sas.com/forums, you can subscribe to any or all forums via RSS (look for the orange icon on the page), or you can set a watch that will deliver forum content to you via e-mail.

To set a watch, you must first login to the site. To watch a forum or thread, navigate to the appropriate forum page. The list of items will contain either Watch Forum or Watch this Thread. Select the link.

You can create customized watch settings, such as the frequency with which you receive email. To customize your settings:

  1. Make sure that you are logged on to support.sas.com.
  2. Select Your Control Panel from the list at the top right of the forums page.
  3. Select Your Watches from the Your Control Panel box.
  4. Select the settings that fit best with your reading and work habits.
  5. Select Update.


Update: Take a sec to vote in the new poll at the right and let us know if you have ever posted to a discussion forum. We want to know if forums are a communication method that you are willing to participate in.

Learn Time Series Analysis: Free Materials for SAS Users

 ARCH, forecast, GARCH, Open Source, time series  Learn Time Series Analysis: Free Materials for SAS Users已关闭评论
12月 162008
 
0. A gentle Introduction to Time Series Analysis, may serve as fast learning materials:
1. An open source book(with data and code), A First Course on Time Series Analysis: examples with SAS, by Prof. Michael Falk, is available in:
2. A SAS User book, Forecasting Examples for Business and Economics Using SAS by B. Cohen (another popular SAS User book for time series is SAS for Forecasting Time Series by John Brocklebank and David Dickey), is example-driven approach. You can review and submit the codes to learn SAS for time series analysis in a comprehensive way–there are 30 examples available:

1. Forecasting an Autoregressive Progress
2. Forecasting a Moving Average Process
3. Forecasting a Seasonal Process
4. Seasonal Adjustment and Forecasting
5. Forecasting with Transfer Function Models
6. Forecasting with Intervention Models
7. Forecasting Multivariate Time Series
8. Preparing Time Series Data for Forecasting
9. Using Macros for Forecasting Tasks
10. Fitting and Forecasting a Linear Model by OLS
11. Testing Forecasting Models for Break Points with Chow Tests
12. Fitting and Forecasting Linear Models with Linear Restrictions
13. Fitting and Forecasting a Linear Model with an AR Error Correction
14. Fitting Linear Models with Heteroscedastic Error Terms
15. Fitting Linear Models with ARCH-GARCH Error Terms
16. Assessing Forecast Accuracy
17. Forecasting Using a Lagged Dependent Variable Model
18. Static and Dynamic Forecasting Using a Lagged Dependent Variable Model
19. Fitting and Forecasting Polynomial Distributed Lag Models
20. Fitting and Forecasting Restricted Polynomial Distributed Lag Models
21. Fitting and Forecasting a Linear System by SUR and ITSUR
22. Testing and Restricting Parameter Estimates in a Linear System Forecast
23. Producing Goodness-of-Fit Statistics for Forecasts of a Linear System o
24. Fitting a Linear System by Instrumental Methods
25. Linear System Diagnostics and Autoregressive Error Correction
26. Creating Forecast confidence Limits with Monte Carlo Simulation
27. Fitting and Forecasting a Nonlinear Model
28. Restricting and Testing Parameters of a Nonlinear Forecasting Model
29. Producing Forecasts Automatically Using the Time Series Forecasting Sys
30. Developing Forecasting Models Using the Time Series Forecasting System

You can get the code with data and proc steps in SAS website:
3. SAS/ETS User’s Guide and Procedure Guide in SAS Product Documentation: