Tuesday, December 10, 2013

You Too Can Be Sexy! Using R for Descriptive Statistics and Predictive Analytics

Information Builders has pushed back its deadline for submitting papers for the upcoming Summit 2014 being held in Orlando, Florida. If you are interested in presenting, you now have until the 20th of December to provide your topic to the BI software vendor. 

Submitting a presentation is easy. Just come up with a catchy title and subtitle such as: 
"You Too Can Be Sexy!: Integrating R with WebFOCUS for Descriptive and Predictive Statistics"

Follow that with a few paragraphs describing the main ideas of your presentation, making sure everything jives with Information Builders' hot market topics of analytics, Big Data, Business Intelligence, etc. 

Here is a sample synopsis:  
"Experts call data analysis the sexiest job of the 21st century. In this era of Big Data, a command of statistics and analytic tools correlates with job security and high income. Yet within five years, the U.S. may struggle with over a million unfilled jobs needing deep analytic skills.

Here is your chance to augment your WebFOCUS know-how with the open-source R language, which is seeing a dramatic increase in job demand. Doug Lautzenheiser will cover industry trends, using R for descriptive and predictive statistics, integration with WebFOCUS, and resources to help you build R skills."

For a presenter bio, provide a line or two: 
"In 1992, Doug Lautzenheiser first started presenting at Information Builders annual users' group conferences with his 'How to Get Your Maserati out of the Traffic Jam.' Over two decades later, Doug still loves to use catchy titles."

The real work will come after Information Builders approves your presentation. In preparation, have a good idea of the topics you plan to cover (remember, you only have one hour).

Here is an outline example to go with my "Be Sexy" theme:  
Industry Trends
  • Big Data
  • Predictive Analytics
The R product
  • History
  • Downloading and installing
  • Basics of the language
  • Reading in data
  • Summarizing the data
  • Source command for running scripts
  • Packages from Comprehensive R Archive Network (CRAN)
Descriptive Statistics and R
  • Terms (Population, Sample, Observation, Variable, Dataset)
  • Measures of Center: Mean, Median, Mode
  • Measures of Spread: Range, Interquartile Range (IQR), Variance, Standard Deviation
  • Distribution, P value, Confidence Interval
  • Measures of Shape: Skewness (positive or negative), Kurtosis (mesokurtic, platykurtic, leptokurtic)
  • Bar graph, Scatter plot, Boxplot, Histogram
  • Central Limit Theorem
  • Tests of Association: Correlation, Regression
  • Tests of Inference: Chi-Square, t-test (independent samples, correlated samples), Analysis of Variance  
Predictive Statistics and R
  • The statistical and analytical techniques used to develop models that predict future events or behaviors
  • Examples
  • Linear regression, Logistics regression, decision trees
  • Steps
Integration with WebFOCUS 
  • Using RStat
  • Using Dialogue Manager  
Getting Help
  • Classes (e.g., Coursera)
  • Books (e.g., "Learning R" from O'Reilly)

You will need to finalize your presentation about a month or two before the actual event starts the first week of June. Information Builders will contact you when the deadline hits.

If you are not interested in presenting, be sure to attend and see my presentation (assuming it gets approved, of course). You too can be Sexy!

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About Me

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I am a project-based software consultant, specializing in automating transitions from legacy reporting applications into modern BI/Analytics to leverage Social, Cloud, Mobile, Big Data, Visualizations, and Predictive Analytics using Information Builders' WebFOCUS. Based on scores of successful engagements, I have assembled proven Best Practice methodologies, software tools, and templates.

I have been blessed to work with innovators from firms such as: Ford, FedEx, Procter & Gamble, Nationwide, The Wendy's Company, The Kroger Co., JPMorgan Chase, MasterCard, Bank of America Merrill Lynch, Siemens, American Express, and others.

I was educated at Valparaiso University and the University of Cincinnati, where I graduated summa cum laude. In 1990, I joined Information Builders and for over a dozen years served in regional pre- and post-sales technical leadership roles. Also, for several years I led the US technical services teams within Cincom Systems' ERP software product group and the Midwest custom software services arm of Xerox.

Since 2007, I have provided enterprise BI services such as: strategic advice; architecture, design, and software application development of intelligence systems (interactive dashboards and mobile); data warehousing; and automated modernization of legacy reporting. My experience with BI products include WebFOCUS (vendor certified expert), R, SAP Business Objects (WebI, Crystal Reports), Tableau, and others.