Webinar – Building Dashboards for Real Business Results – 12/11

Which chart or graph is right for you?

Tableau Software
 
This paper describes eleven chart types and helps you determine when to use each. It also includes dozens of tips on how to enhance visualizations to make your data pop. See preview.

You’ve got data and you’ve got questions. But which chart or graph helps you get to the heart of your goal?

“Visualizing data using color, shapes, positions on X and Y axes, bar charts, pie charts, whatever you use, makes it instantly visible and instantly significant to the people who are looking at it.”

Get started by creating the best type of chart for your data and questions. From there, you’ll quickly find you’re not only answering your initial questions, but telling amazing stories with your data.

The charts and graphs described in the paper include:

Lines, pies, maps, scatter plots, gantts, bubbles, histograms, bullets, heat maps, and highlight tables.

DOWNLOAD http://www.tableausoftware.com/which-chart-or-graph-is-right-for-you 

Top ranked technology innovation Priorities

The Future of Apache Hadoop

Apache Hadoop has evolved rapidly to become the leading platform for managing, processing and analyzing big data. If your organization is examining how you can use Hadoop to store, transform and refine large volumes of data, this webinar series is for you.

Join us in this series with the people at the center of Hadoop movement to gain insight into current advances in Apache Hadoop, obtain use-cases and best practices on how to get started with Hadoop and live Q&A.

Why you should register for this series? 

  • You’re interested in learning the essential components required in a Hadoop Platform.
  • You want use-cases and tips on how you can add Apache hadoop to your existing investments.
  • You’re currently using Hadoop and have questions for our committers.

Register now and join the conversations! 

High Availability with Hadoop
November 27, 2012 10 am PST/1 pm EST/ 6pm GMT

Featured Speaker: Rohit Bakhshi

Product Management at Hortonworks.

Back in September, we announced Hortonworks Data Platform 1.1, the only Hadoop distribution to provide full stack High Availability. With HDP 1.1, we extended our HA options with the ability to include the most current visions of Red Hat Enterprise Linux (RHEL) and the High Availability Add-On. Join Rohit Bakshi, Product Management, as he guides you through the current work on HA and Hadoop. Rohit will have a live demo of High Availability options on HDP 1.1 as well as answer any questions during this session.

Agile Data: Building Data Analytics Applications
December 18, 2012 10 am PST/1 pm EST/ 6pm GMT

Featured Speaker: Russell Jurney

Hadoop and Big Data Evangelist/Nerd at Hortonworks.

In this webinar, Russell Jurney will present about rapidly prototyping analytics applications using the Hadoop stack to return to agility in light of the ever-deepening analytics stack. The presentation uses Hadoop, Pig, NoSQL stores and lightweight web frameworks to rapidly connect end-users to real insights. Topics covered include writing User Defined Functions in Pig and publishing insights mined on Hadoop to NoSQL stores like MongoDB, HBase, and Cassandra, and using Python, Ruby, JRuby and Node.js to present data mined on Hadoop in a web browser.

The Business Value of Predictive Analytics

 Based on IDC research, the median ROI of predictive analytics projects is close
to three times higher than that of non-predictive projects.The median ROI of predictive analytics projects is 250%, which represents an increase from the 145% average ROI from IDC’s 2003 study. Other key differences over the past eight years in projects involving predictive analytics were:
 The volume and variety of data being analyzed. For example, an increasing number of organizations are improving their predictive models by evaluating and training them on combined sets of structured and semistructured data with unstructured content.
 The higher priority and imperative of predictive analytics among  organizations’ overall initiatives. Predictive analytics has certainly become a topic of many more conversations and gained a new respect among “nonquants.”
 Many of the benefits of predictive analytics projects are ancillary to the directly
quantifiable benefits that can be captured through a formal ROI calculation.
 Major benefits of business analytics projects that employed predictive analytics
center on business process enhancement, especially improving the quality of
operational decisions. This contrasts with the primary benefit of non-predictive
analytics projects, which focus on productivity improvement. Yet, in most cases,
predictive and non-predictive analytics are deployed together as part of a broader
business analytics solution.http://docs.media.bitpipe.com/io_10x/io_105085/item_542151/TheValueOfPredictiveAnalytics.pdf

INTRODUCTION TO SMOOTHING AND P-SPLINE TECHNIQUES USING R

Smoothing helps you maintain a view of the data forest, while not losing sight of the trees. Or vice-versa, if excessive globalism is your weakness. Our smoothing course with Brian Marx uses R at Statistics.com. More on Introduction to Smoothing and P-Splines Using R.

Real-life data often are not well-described by a single simple function. Splines combine multiple functions differentially in a smooth fashion over different ranges. P-splines are widely applicable, effective, and popular: over 500 citations for the instructors’ Statistical Science article that introduced P-splines. You will be introduced to P-splines via B-splines (basis splines), and learn how to balance the competing demands of fidelity to the data and smoothness, and how to optimize the smoothing.
 
Who Should Take This Course?
Medical and social science researchers, data miners, environmental analysts;  any researcher who must develop statistical models with “messy” data.
Course Program:
 
Course outline: The course is structured as follows
SESSION 1:  Smoothing via Regression – Local vs Global Bases
  • Global bases can be ineffective
  • Local bases are attractive
  • B-splines
  • Difference penalties
 
SESSION 2: Introducing P-splines
  • Dealing with non-normal data
  • Moving from GLM to P-spline
  • Density estimation
  • Variance smoothing
 
SESSION 3: Optimizing the Smoothing
  • Fidelity to the data vs smooth curve
  • Cross-validation, AIC
  • Error bands
 
SESSION 4: Multidimensional Smoothing
  • Generalized Addition Models
  • Varying coefficient models
  • Tensor products
 
The instructors:
Brian Marx is Professor of Statistics at Louisiana State University, Chair of the Statistical Modeling Society, and the Coordinating Editor of “Statistical Modeling: An International Journal.” 

Paul Eilers is Professor of Genetical Statistics at the Erasmus University Medical Center (Netherlands). His research interests include high throughput genomic data analysis, chemometrics, smoothing, and filtering and smoothing of time series and signals from chemical instruments. 

This course takes place over the internet at the Institute for 4 weeks. During each course week, you participate at times of your own choosing – there are no set times when you must be online. Course participants will be given access to a private discussion board so that they will be able to ask questions and exchange comments with instructor, Dr. Brian Marx and Dr. Paul Eilers. In class discussions led by the instructor, you can post questions, seek clarification, and interact with your fellow students and the instructor.
 
The course typically requires 15 hours per week. At the beginning of each week, you receive the relevant material, in addition to answers to exercises from the previous session. During the week, you are expected to go over the course materials, work through exercises, and submit answers. Discussion among participants is encouraged. The instructor will provide answers and comments, and at the end of the week, you will receive individual feedback on your homework answers.
 
For Indian participants statistics.com accepts registration for its courses at special prices in Indian Rupees through its partner, the Center for eLearning and Training (C-eLT), Pune.
 
For India Registration and pricing, please visit us at www.india.statistics.com.
 
For More details contact at
Call: 020 66009116
 
Websites:
 
 

With Cross-Tab OLAP Analytics, I’m (Almost) the Queen of the World!

Elegant JBI

Posted on October 15, 2012

http://blog.elegantjbi.com/2012/10/15/october-15-2012/?goback=%2Egde_3891169_member_188514899

Last year I attended a business conference. You know the kind – they are designed to show you new ways to manage your business and to remind you that there are always new opportunities for success and business growth. One of the speakers regaled us with tales of how business intelligence OLAP analysis could help us effectively and objectively manage and measure our success. I was intrigued.

I contacted my IT consultant and today I have BI with cross-tab OLAP analytics! It offers a 360° view of the business to provide objective metrics and helps me quickly determine whether my organization, department, or team is achieving its goals. Integration with data extraction, cube management features, and ad-hoc queries and BI reporting helps me achieve a clear view of performance.

Everybody needs an analytical tool that can produce summary, detail, graphics, charts, and reports with ease. You can have complex OLAP functionality in a simple user interface that is integrated with enterprise systems and sources and provides precise, cross-tab or tabular reports without technical assistance.

 

Dynamic analysis design Interactive, easy-to-use analysis design wizard
Multiple page dimension filter Runtime retrieval parameter on loading OLAP analysis
Drill-up, drill-down and through Graphical view of analysis
User defined rows and columns Spot lighters with color
Data Value – Display Value Mapping Sorting and ranking of rows and columns
Group and ungroup rows and columns Value mapping for user friendly display of data
Access to central cube repository objects Cell notes and table notes with private or public option
Cell format with resizing and renaming Sharing and Publishing
Exports: PDF, CSV, XML, JPEG, XLS Publishing and Delivery agent

I got all of this and more with my new BI OLAP analysis tool. You can too! Contact the pros: http://www.elegantjbi.com/ or emailsales@elegantjbi.com.

Intelligently yours, Betsy Bizintel