This document announces a presentation on data mining innovations using SQL Server 2014. It provides an outline of the event which includes examining a demonstration, forming groups to develop an original data mining innovation idea, and having one spokesperson from each group present their idea in 3 minutes. The groups will use restricted technologies and be evaluated by peers on categories like importance, availability and usefulness. The goal is for attendees to come prepared to participate in the interactive activities involving data mining solution design and group presentations.

1. Data Mining Innovation with SQL Server 2014
Mark Tabladillo, Ph.D. (MVP, SAS Expert)
Birmingham, AL –SQL Saturday 328
August 23, 2014

2. Networking
Interactive

3. Mark Tab
SQL Server MVP; SAS Expert
Consulting
Training
Teaching
Presenting
Linked In
@MarkTabNet

4. Outline
Examine a demonstration image of SQL Server Business Intelligence 2014
Create groups: develop a single data mining innovation which can be communicated in three minutes
These solutions will have technology restrictions –to be enumerated
Randomly chosen spokesperson: share the group innovation
Voting

5. TechNet Virtual Labs
http://technet.microsoft.com/en-us/virtuallabs/bb467605.aspx

6. SQL Server 2014 Developer Training Kit
http://www.microsoft.com/en-us/download/details.aspx?id=41704

7. Microsoft Bing beats Google in World Cup predictions
Bing was 15 for 15 in picking the winners of each knockout match
Microsoft is using data like the teams’ records, strength of schedule, margin of victory in past matches, whether the location gives a particular team a home field advantage, and the influence of factors including weather and type of playing surface.
Microsoft managed to edge Google in terms of World Cup predictions. Google also used its own technology to pick match outcomes and finished 14 of 15. http://www.geekwire.com/2014/microsoft-bing-15-16-world-cup/

8. Applied Data Science
Choose one of five companies

9. Telecommunications

10. Healthcare

11. Oil and Gas

12. Retail

13. Volkswagen Group

14. Your Presentation
Problem Statement
Purpose Statement
Data Collection
Data Mining and Machine Learning with technical details
SQL Server 2014 Enterprise Edition
Microsoft Office 2013 Professional Plus
SharePoint 2013 Enterprise
Power BI for O365
Microsoft Azure Machine Learning
<You may add any free items from Microsoft or Codeplex>
Expected Outcomes

15. Evaluation
One person to speak in three minutes
Describe for your technical peers the technical details of your data mining innovation
Each Team will vote for other teams in 3 categories
Importance
Availability
Usefulness
Relative Placement: http://www.swingdancecouncil.com/library/relativeplacement.htm

16. Celebration

17. Major Websites
SQL Server Data Mining
http://technet.microsoft.com/en-us/sqlserver/cc510301.aspx
http://www.sqlserverdatamining.com/
Microsoft Azure Machine Learning (currently in preview) http://azure.microsoft.com/en-us/services/machine-learning/

18. Software
Dreamspark(students); BizSpark(businesses)
SQL Server 2014 Enterprise (includes database engine, Analysis Services, SSMS and SSDT)
http://www.microsoft.com/en-us/server-cloud/products/sql-server/default.aspx
Microsoft Office
http://office.microsoft.com/en-us/
Primer on Power BI --MarkTab
http://blogs.msdn.com/b/mvpawardprogram/archive/2014/08/04/primer-on-power-bi-business- intelligence.aspx

19. Abstract
This presentation includes a complex business analytics solution using elements across the Microsoft Business Intelligence technology. This talk will not have all the steps spelled out. Therefore you should prepare --for example, by looking at the SQL Server 2014 Developer Kit --since attendees will be expected to have working knowledge of SQL Server relational database, SSIS, SSAS, SSRS, SSMS and SSDT. At the end of the demonstration, you will be expected to participate in groups to promote one idea which builds on the demo, and everyone will be voting for their favorite groups. Come ready to create and celebrate your peers.