Category: Analytics

How to Measure and Optimize Your Marketing:Tableau

Tired of everyone calling everyone else a social media expert. What seperates the social media men from the fakes.

the grain from the chaff.

Data.

Heres a webcast you may want to think of social media tickles your curiosity on how  to leverage these strange new marketing tools.

https://cc.readytalk.com/cc/schedule/display.do?udc=xu40u1ex8tj8

Notice the form and fields below the screenshot-

is every field required – is each one required to measure

Have they optimized web registration forms yet.

Continue reading “How to Measure and Optimize Your Marketing:Tableau”

Analyzing Conversations on Twitter

If you are a marketing , analyst relationship, public relationship or a product manager who uses or abuses social media, you sometimes need to track what influencers and analysts are saying. A tool called Bettween allows you to capture public conversations between two influential (or interesting) tweeps.

See conversations between Neil Raden http://www.beyeblogs.com/raden/ and Curt Monash http://www.dbms2.com/ two noted BI gurus

http://bettween.com/neilraden/curtmonash

  • @NEILRADEN66
  • @CURTMONASH61
  • TOTAL MESSAGES127
  • SHARE CONVERSATION

unless Google decides to license its Wave technology to Twitter for separate encrypted , or public tweets. 🙂 They do share some history and employees (cough cough) or Twitter waits to create or better its public /protected tweet mode to be more granular

http://bettween.com/neilraden/curtmonash#statistics

tools to analyze Twitter conversations in R

tools to analyze Twitter conversations in SAS

Related Articles

Revolution releases R Windows for Academics for free

Logo for R
Image via Wikipedia

Based on the official email from them, God bless the merry coders at Revo-

Revolution Analytics has just released Revolution R Enterprise 4.3 for 32-bit and 64-bit Windows, a significant step forward in enterprise data analytics.  It features an updated RevoScaleR package for scalable, fast (multicore), and extensible data analysis with R. Revolution R Enterprise 4.3 for Windows also provides R 2.12.2, and includes an enhanced R Productivity Environment (RPE), a full-featured integrated development environment with visual debugging capabilities. Also available is an updated Windows release of our deployment server solution, RevoDeployR 1.2, designed to help you deliver R analytics via the Web.

As a registered user of the Academic version of Revolution R Enterprise for Windows, you can take advantage of these improvements by downloading and installing Revolution R Enterprise 4.3 today. You can install Revolution R Enterprise 4.3 side-by-side with your existing Revolution R Enterprise installations; there is no need to uninstall previous versions.

 

Try JMP for free in steps 1-2-3

Test a 30 day free trial of JMP, the beautiful software with the ugliest website.

In case you have never used JMP, but know the difference between a mean and a mode- take a look.

Step 1 Fill long and badly designed outdated form (note the blue lightening graphics design and font)


Step 2 See uselessly long message, as the website does require registration but it has not done  any oAuth/SM easy registration even though they help sell software in the same campus on social media

Step 3 Wait for 352 mb TO DOWNLOAD without a bit torrent or mirror servers, or even a link for scheduling Download Accelerator-

Note internet connections can be lousy (globally not just in India) to categorize 352 mb of downloads as painful.


And after all the violence and double talk
There’s just a song in all the trouble and the strife

JMP is still the best easiest to use powerful Big Data software with extensions into R and SAS.

Free and Open Source cannot get basic economics correct

Nutch robots
Image via Wikipedia

Before you rev up those keyboards, and shoot off a snarky comment- consider this statement- there are many ways to run (and ruin economies). But they still have not found a replacement for money. Yes Happiness is important. Search Engine is good.

So unless they start a new branch of economics with lots more motivational theory and psychology and lot less quant especially for open source projects, money ,revenue, sales is the only true measure of success in enterprise software. Particularly if you have competitors who are making more money selling the same class of software.

Popularity contests are for high school quarterbacks —so even if your open source software is popular in downloads, email discussions, stack overflow or Continue reading “Free and Open Source cannot get basic economics correct”

Google releases V1.2 of Google Prediction API

Diagram showing overview of cloud computing in...
Image via Wikipedia

To join the preview group, go to the APIs Console and click the Prediction API slider to “ON,” and then sign up for a Google Storage account.

For the past several months, I have been member of a semi-public beta test/group/forum – that is headed by Travis Green of the Google Prediction API Team (not the hockey player). Basically in helping the Google guys more feedback on the feature list for model building via cloud computing. I couldn’t talk about it much , because it was all NDA hush hush.

Anyways- as of today the version 1.2 of Google Prediction API has been launched. What does this do to the ordinary Joe Modeler? Well it helps gives your models -thats right your plain vanilla logistic regression,arima, arimax, models an added ensemble option of using Google’s Machine Learning Continue reading “Google releases V1.2 of Google Prediction API”

High Performance Analytics

Marry Big Data Analytics to High Performance Computing, and you get the buzzword of this season- High Performance Analytics.

It basically consists of Parallelized code to run in parallel on custom hardware, in -database analytics for speed, and cloud computing /high performance computing environments. On an operational level, it consists of software (as in analytics) partnering with software (as in databases, Map reduce, Hadoop) plus some hardware (HP or IBM mostly). It is considered a high margin , highly profitable, business with small number of deals compared to say desktop licenses.

As per HPC Wire- which is a great tool/newsletter to keep updated on HPC , SAS Institute has been busy on this front partnering with EMC Greenplum and TeraData (who also acquired  SAS Partner AsterData to gain a much needed foot in the MR/SQL space) Continue reading “High Performance Analytics”