analytics

IBM Analytics Workshop

Jun
01

On May 22-23, 2012, Seidenberg Institute of Computing Innovation and IBM collaborated in delivering a two-day analytics workshop for Pace University faculty in room 300 of Goldstein Academic Building, Pleasantville campus. In the afternoon of May 22, Mr. Brian Snyder, IBM Cognos solution specialist, introduced Cognos with handson labs through Cognos instances deployed on IBM cloud servers. In the morning of May 23, Mr. John Norton, IBM SPSS solutions architect, delivered a comprehensive lecture on SPSS modeler and data mining with handson labs on a Windows XP virtual machine preinstalled for each attendee. Over 20 Pace university faculty and staff from Seidenberg, Dyson, Lubin, Library, and other university units attended the workshop. This workshop is a major step in introducing the latest analytics methodologies and technologies into Pace curricula.

We'd like to thank Mr. Robert Bry, IBM Academic Initiative representative for Pace University, for helping organize this workshop and working with us during the two-day workshop. We thank Mr. Brian Snyder and Mr. Mr. John Norton for traveling long distance to deliver the well-designed lectures. We also thank Mr. Thomas Reivik for helping us set up the SPSS virtual machines and arrange the recording of the Cognos workshop.

The following are IBM resources related to this workshop in particular and analytics in general. We hope they would be useful for you.

Workshop recording:  The Cognos workshop was recorded but has no audio. The SPSS workshop was not allowed to record.

Workshop handouts: Cognos workshop handsoutSPSS workshop handout

IBM Cognos cloud instances: Cognos cloud instance in Boulders, Cognos cloud instance in Toronto

SPSS Windows XP virtual machine:

  • If you us a Windows computer, you need to download the free VMware Player by right-clicking here and saving the target to your computer, then run it to install it. If you use a Mac computer, you need to buy a license of VMware Fusion, around $80-100, from vmware.com, an dinstall it on your Mac computer.
  • The SPSS Windows XP VM is in the form of a folder of 15GB files. Please contact Seidenberg staff Mr. Thomas Reivik at treivik@pace.edu set up an appointment, and bring over a laptop or external disk to copy the folder. It would help if you bring over a laptop that has VMware Player or VMware Fusion is installed so Thomas can show you how to run the virtual machine.
  • To run the virtual machine, double click file Windows XP Professional.vmx.
  • You can also contact Prof. Lixin Tao for help at ltao@pace.edu.

IBM analytics courseware: IBM analytics courseware list, IBM Cognos courseware, IBM SPSS courseware

IBM video tutorial: IBM SPSS video tutorial (dozens of hours)

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Faculty Institute - Pace University Analytics Initiative

May
19

The yearly Pace University Faculty Institite was held on May 17-18, 2012. Prof. Lixin Tao and Prof. Hsui-lin Winkler of Seidenberg, Prof. Janice Kim Winch of Lubin, and Prof. Walter Morris of Dyson ran a Pace University Analytics Initiative session at 1:40PM of May 17. The main objective of the session is to share analytics courseware with our colleagues and integrate analytics into all Pace programs. Over 30 faculty and students attended the session. Prod. Tao introduced the history and objectives of this initiative. Prof. Winch introduced Lubin School's Quantitative Business Analysis (QBA) Program and course contents. Prof. Morris described the process that he developed the Dyson version of data mining course and his experience with the course. Prof. Winkler presented Seidenberg School's data mining courses and the achievements and satisfaction that students have achieved through these courses. This session is complimented by the two-day IBM Analytics Workshops on Cognos and SPSS on May 22-23, 2012.

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Introduction to Pace analytics initiative - Faculty Institute 2012

May
19

Slides that Lixin Tao used at the Pace University Analytics Initiative session of Pace Faculty Institute 2012

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IS667/CIT348 – Data Warehouse, Data Mining and Visualization

May
19

Slides that Hsui-lin Winkler used at the Pace University Analytics Initiative session of Pace Faculty Institute 2012

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Lubin QBA courses - Faculty Institute 2012

May
19

Handouts that Janice K. Winch used at the Pace University Analytics Initiative session of Pace Faculty Institute 2012

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IBM Analytics Briefing

Apr
20

In support of Pace University’s analytics initiatives, Mr. Robert Bry of IBM Academic Initiative delivered an IBM Analytics Briefing at 10AM-1PM on April 20, 2012 in Pleasantville Miller 16. The event was video-conferenced through Seidenberg School’s conference rooms 406 at Graduate Center, White Plains and 236 at 163 Williams Street, NYC. Around 22 faculty from Seidenber, Lubin and Dyson attened this event. This briefing started with an introduction to business analytics in general and data mining, data warehousing and business intelligence in particular. It also introduced the current IBM business analytics resources including SPSS, Cognos, DB2, and a rich set of courseware available to the Pace community through the IBM Academic Initiative Program, and explained how Pace University curricula could build on top of these resources through IBM cloud servers for free. This briefing will be followed by in-depth hands-on IBM workshops on May 22-23, 2012 for faculty development based on the above resources.

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A Concise Introduction to Analytics

Feb
24

A Concise Introduction to Analytics  - Lixin Tao

A business or organization runs business processes to deliver products or services. A business process specifies the business’s input/output, workflow, decision making, and interaction with collaborating processes or environment. A meta-process is used to create new processes and adapt the existing processes for objective/environment changes and process optimization. Traditionally, business processes are specified in natural languages so they cannot be easily validated or optimized; and the decision-making depends more on experience, intuition and artistic talent.

Basic Definition of Analytics

Analytics is decision-making based on data, analysis, and systematic reasoning [1]. Put more concisely: analytics is data-driven decision-making.

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