SAP gets social media with micro-apps webinars

A commendable re design by SAP in it’s social media especially social media through Videos and Webinars

I especially like the cute graphics which sum up the Social Media presence for SAP- like their own personalized Twitter Buttons. see screenshots below

Yahoo Video and Ads

Yahoo Video in it’s beta launch has an impressive roster of music videos. I liked the ads even better- it is quite simple. You see an ad before the video plays- just as you would see it on MTV. Thats quite bearable.

The site is worthy a dekko at http://new.music.yahoo.com/

Also worthy notice is the FB app that allows you to dedicate music videos ( I dedicated u2-Mysterious Ways 15 times this morning)
and best of all pulls in existing information to line up your music videos

Like U2- New Years Day Below screenshot.

http://apps.facebook.com/yahoomusicvideos/?mode=edit&emode=newest&psize=large

Screenshot-2

Advanced Analytics on Multi-Terabyte Datasets- Conferences

Some news on Data Mining 2009 by Aster Data –

SAS and Aster Data to Present “Advanced Analytics on Multi-Terabyte Datasets” at M2009 in Las Vegas – Oct. 26-27
Learn how the tight coupling of SQL and MapReduce provided by Aster Data creates new ‘big data’ analytics opportunities when combined with SAS. Aster Data will exhibit throughout the event.
More

And also a nice  webcast by Curt Monash on the same Big Data topic-

Mastering MapReduce Webinar Series, Session 1
“Big Data Reality: The Role of MapReduce in Big Data Management and Analysis”- Oct. 15
Industry analyst Curt Monash explains the basics of MapReduce, key uses cases, and which industries and applications are heavily using MapReduce. Topics include recommendations for integrating MapReduce in an enterprise business intelligence and data warehousing environment.
More

Also,

Here is a brief synopsis on the Aster Data ( http://www.facebook.com/pages/Aster-Data-Systems/5601042375) Sponsored Big Data Summit  ( http://www.facebook.com/pages/Big-Data-Summit/143312171156 )which I attended-

  • A Plan for Large Scale Data Analytics: How to Utilize Aster nCluster and Hadoop in a Symbiotic
    Relationship to Support Processing in Excess of 100 Billion Rows Per Month
    – Michael Brown and Will Duckworth
    (EVP, Software Engineering, comScore, Inc. and Director, Software Engineering, comScore, Inc.)

This talked of the special needs of Com Score in handling big data and why Map Reduce and Hadoop seem to be the cost effective solutions for big big data while RDBMS seems stuck in the middle of middle data. Broadly informative on the statistical challenges of the future given the explosion of data as well.

  • Making Sense of Hadoop – Its Fit With Data Warehouses – Colin White
    (President and Founder of BI Research)

Colin brought a nice perspective on the open source Hadoop vis a vis the Properietary packages and the traditional DBMS. His perspective on the solution is no software is perfect for all needs while all softwares that sell have their own good points while the converging solution could be a heterogeneous solution of the above.

  • MapReduce Inside a Database System – When and How Case Studies from ShareThis, Specific Media, and Other – Tasso Argyros (Chief Technology Officer and Co-Founder of Aster Data)

This was a more detailed look at the Big Product Launch ( the Hadoop Connector) by Tasso and an interesting look at time series analysis using nPath rather than SQL . Interesting given the ongoing convergence analytics and business intelligence.

Also Tasso lived up to his presenting charm with an excellent pitch on nPath (as his interview said ).

  • Large-Scale Analytics at LinkedIn – Jonathan Goldman
    (Former Principal Scientist at LinkedIn)

This was nice given Jonathan’s perscpective ( he has Phd In Physics) and now does consulting for LinkedIn while maintaining his interests in education- the special needs for social media websites, designing experiments on the fly with huge real time datasets as well as some interesting visualizations (like India and America have the second biggest cross country Li connections after USA- UK. Apparently Linkedin ( http://www.facebook.com/group.php?gid=2211231478 ) does not sound so good when translated in Chinese ( AT Dinner I learnt from a fellow Chinese student that China censors Facebook – sigh!).

  • Networking Mixer: Beer, wine, hot hors d’oeuvres

I got interviewed ( AFTER) I had mixed some Beer and Wine for myself. The Video interview which was the first video interview I have given ( You know- I have taken SOME interviews by Email and plan to do some more while in Vegas for the Data Mining 2009  with SAS http://www.facebook.com/group.php?gid=2227381262)

They are still editing that interview 😉

—That was all – you need to send me a Facebook invite to see the rest of the NY trip or better still just join the Facebook page of Decision Stats at

http://www.facebook.com/pages/DecisionStats/191421035186

After two weeks I hope to have some more coverage on Data Mining 2009 while at the same time enjoying my much needed Fall Break-  Life at University at Tennessee is looking up ( since we beat Georgia 45-19 🙂 )

r*xE5HeUJa(%

Facebook Text Analytics

Here is a great presentation on Facebook Analytics using text mining.

Citation-
Citation;Text Analytics Summit 2009 – Roddy Lindsay – “Social Media, Happiness, Petabytes and LOLs”
and here is a presentation on HIVE and HADOOP
HIVE: Data Warehousing & Analytics on Hadoop

Facebook sure looks a surprisingly nice analytics company to work for.!!! No wonder they have all but swamped the competition.

Advertising Feed back Loop: Facebook and Adwords

In Systems design a feedback loop is something that measures the difference between expected and actual output and adds it back to the system to enhance it’s performance

For a better more accurate definition see http://en.wikipedia.org/wiki/Feedback

Here is how Facebook measures the satisfaction whether I got for an ad on my page- note fraudelent or systematic cheaters would be eliminated by the law of averages.

It places a very small thumbs up or thumbs down on an ad on right hand corner.

When I place a thumbs down on an ad ( note it shows only graphical ads)-it asks me why i didnt like the ad

Was it

1) Misleading
2) Offensive
3) Uninteresting
4) Irrelevant
5) Repetitive
6) Other- allows text mining of free form allowing subjective feedback.

However if I type say Business Intelligence on Google – I get the following

http://www.google.co.in/search?hl=en&q=business+intelligence&meta=&aq=0&oq=business+intell

Open Source Ad on Pentaho at prime spot just above the results. Makes me wonder how much open source will spend.

Search Results-
Wikepedia entry usually at the top ( but no ads there*)

Search Optimization means SAS Business Intelligence is now fifth from top- which is the first mention of a BI vendor there ( Note cost to SAS is zero as you can see below). In the remaining top 4, two are similar http://www.businessintelligence.com and http://www.businessintelligence.co.uk as the title page tag remains more important than sheer consumer behaviour to Pagerank.

Right Column Sponsored Links ( These guys spend more money than SAS to be on the sponsored links and still end up in a less favourable ad page than in top vendor on search results page)-

1 http://www.brgglobal.com
2 SAP.com/India
3 IBM.com/cognos
4 http://www.BusinessObjects-India.com
5 http://www.softsmith.com
6 http://www.syncfusion.com/BizIntell
7 http://www.intelligententerprise.com/

(Note from Ajay*- A senior IIM Alumnus CK Prahlad (the first batch in fact) – first expounded the concept of core competence-

Now-what is Google’s core competence.
I believe that Google should simply donate all its information on wikipedia, and offer Google Knol to it- rather than just wallow in sunk cost theory or expect an immediate return from this transaction. It will get lots of goodwill- and maybe the Google Wikipedia Knol will take off.

Similarly sell Orkut to Facebook and just take the advertising and search functions to be combined in a seperate spin off called Google Search before Microsoft forces the Europeans and Justice department to do so.

Or continue to moon the giant.)

I didnt like the Adwords ads or the order they were in. But there is no way in Adwords for me to give feedback to it. Facebook listens. Will Adwords listen.

Saving the New York Times from itself

The iconic newspaper New York Times, flagpole for progressive, liberal and communist thinkers (depending on where you stand) is under attack again.

It is under attack from the stupidity of its old school old fashioned presses, who believe cutting thousands of trees every year to make loss making newspapers is better than just putting the News on a Kindle, on an iPhone, on an RSS feed. Apparently online advertising is a difficult topic for the Pulitzer prize winning newspaper to master which has Nobel writers in its hallowed mustachioed and sometimes dowdy columnists.

 

If the NYT just shut down its paper division and shift to a paperless world, it would save lots of money, and earn lot more money from the online world. They can ask their own technology columnists and strategists if this is possible- and ask Google for help. Google with it’s Al Gore links, environmental standing and hunger for more and better online advertising can definitely team up (but for those anti trust worries alas)

So here is a Facebook cause- Save the NYTimes.  You can join up here –

http://apps.facebook.com/causes/170855/8347178

It has 37 members already and I created it some time back in December 2008. If you love newspapers and want the NYT to shape up, then join up.

 

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