xinyi-bi-e-portfolio.blogspot.com
Business Intelligence e-Portfolio: Week 12 - Advanced Data Mining Techniques - Regression and Neural Networks
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Sunday, February 7, 2010. Week 12 - Advanced Data Mining Techniques - Regression and Neural Networks. This week, we have learnt the advanced data mining techniques, Regression and Neural Networks which was taught in Data Mining during Year 2. However, I still find myself a bit lost in this topic and it took me quite a while to familiar myself with it. B Time-series data (Forecast). Observations over past periods. Best fit line (in terms of minimizing sum of squared errors). C Other data (Predict). Ii rel...
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Business Intelligence e-Portfolio: January 2010
http://xinyi-bi-e-portfolio.blogspot.com/2010_01_01_archive.html
Monday, January 18, 2010. Week 11 - Project Exploration and Consultation. After the 2 weeks break, we have came back to our lovely polylife. This week we have to work on the BI project Phase 1: Balanced Scorecard creation and Data Warehouse Design. We have been grouped into 4 person per group and started to understand and analyse the project requirements. My group members are : Lai Xiang, Jodan Ho, and Chenyuan who are my best friends since Year 1. ;). Have yourself a happy project time, guys. Turning st...
xinyi-bi-e-portfolio.blogspot.com
Business Intelligence e-Portfolio: Week 14 - Implementing Enterprise Business Intelligence Systems
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Tuesday, February 9, 2010. Week 14 - Implementing Enterprise Business Intelligence Systems. The implementation of BI systems is essential to enable the company, including management level and operating staffs to perform a business performance analysis and monitoring their business process accordingly. Implementing Enterprise BI systems requires the company to:. Identify what you want to do. Understand what data sources and analytical capabilities you have. I Define what data quality means to your company.
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Business Intelligence e-Portfolio: Week 13 - Text Mining and Web Mining
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Sunday, February 7, 2010. Week 13 - Text Mining and Web Mining. As data mining focuses on structured. Information [Numerical Data (e.g. Age), Categorical Data (e.g. Gender, race) ] that stored in database/ tables. However, more than 80% of organisational inofrmation is unstructured textual form. This is represented as an untapped gold mine of textual information. Thus, "Text Mining" - is the next step in business intelligence. What is Text Mining? Discover information hidden in text. Typical Applications...
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Business Intelligence e-Portfolio: February 2010
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Thursday, February 11, 2010. Week 16 - Guest Lecture and Project Presentation. I have benefited from the guest leacture sharing session as I am now more understanding the use and importance of BI and DM system to a company. On the other hand, we need to present our Performa dashboards and scorecards together with the report to Ms Tan during this week lab and this would be our last presentation (besides MYM) in school. Sob.sob.T-T. Anyway, wish you guys all the best Ganbatte kudasai. You may access the fo...
xinyi-bi-e-portfolio.blogspot.com
Business Intelligence e-Portfolio: Week 15 - Future of Data Warehouse, Data Mining and Data Visualisation
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Tuesday, February 9, 2010. Week 15 - Future of Data Warehouse, Data Mining and Data Visualisation. The Future of Data Warehousing. As a DW becomes a mature part of an organization, it islikely that it will become as “anonymous” as any other partof the IS. Challenges to face are:. Coming up with a workable set ofrules that ensure privacy as well as facilitating the use oflarge data sets. The need to store unstructured data such asmultimedia, maps and sound. For example, the data visualization tools are:.
xinyi-bi-e-portfolio.blogspot.com
Business Intelligence e-Portfolio: December 2009
http://xinyi-bi-e-portfolio.blogspot.com/2009_12_01_archive.html
Friday, December 18, 2009. Week 6 - Information Dashoard Design (Part 2). In addition to last week topic, I have studied and understand the Principles for Dashboard Design:. I Include only information that is absolutely needed. Avoid unnecessary and distracting decoration. Ii Condense information in ways that don't decrease its meaning. Summaries (e.g. sums and averages, correlation). Exceptions (drill-down for detail information). Iii Customise dashboard for the audience and objective. Focus on high lev...
xinyi-bi-e-portfolio.blogspot.com
Business Intelligence e-Portfolio: Week 16 - Guest Lecture and Project Presentation
http://xinyi-bi-e-portfolio.blogspot.com/2010/02/week-16-guest-lecture-and-project.html
Thursday, February 11, 2010. Week 16 - Guest Lecture and Project Presentation. I have benefited from the guest leacture sharing session as I am now more understanding the use and importance of BI and DM system to a company. On the other hand, we need to present our Performa dashboards and scorecards together with the report to Ms Tan during this week lab and this would be our last presentation (besides MYM) in school. Sob.sob.T-T. Anyway, wish you guys all the best Ganbatte kudasai. Jordan Ho HO HO.
xinyi-bi-e-portfolio.blogspot.com
Business Intelligence e-Portfolio: Week 9 & Week 10 - Term Break^^
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Monday, January 18, 2010. Week 9 and Week 10 - Term Break. Whoa After the torturing test, here welcome our lovely term break (though we still have to do our MP. . Have yourself an enjoyable break. Subscribe to: Post Comments (Atom). View my complete profile. Jordan Ho HO HO. Week 11 - Project Exploration and Consultation. Week 9 and Week 10 - Term Break. Week 8 - Mid-Semester Tests. Week 7 - Revision Week.
xinyi-bi-e-portfolio.blogspot.com
Business Intelligence e-Portfolio: Week 11 - Project Exploration and Consultation
http://xinyi-bi-e-portfolio.blogspot.com/2010/01/week-11-advanced-data-mining-techniques.html
Monday, January 18, 2010. Week 11 - Project Exploration and Consultation. After the 2 weeks break, we have came back to our lovely polylife. This week we have to work on the BI project Phase 1: Balanced Scorecard creation and Data Warehouse Design. We have been grouped into 4 person per group and started to understand and analyse the project requirements. My group members are : Lai Xiang, Jodan Ho, and Chenyuan who are my best friends since Year 1. ;). Have yourself a happy project time, guys.
