This document outlines a timeline and action plan for a Business Intelligence MBA program. It includes tasks and resources related to topics like data management, analytics, visualization, leadership, and capstone projects. Assignments involve researching industry leaders, developing skills with tools like Excel and Tableau, joining professional organizations, and networking with contacts in the BI field. The goal is to build expertise in BI concepts and career preparation over the course of graduate studies.

1. MASTERY JOURNEY TIMELINE
David Thielke, Business Intelligence MBA
Full Sail University
https://pixabay.com/en/mark-marker-hand-leave-516277/

2. Business Intelligence Timeline

3. MASTERY PERSONAL DEVELOPMENT & LEADERSHIP
Identify (3) BI industry leaders. Research
and study their individual path’s to
success.
Write research paper using Fortune article on
EBSCOHost: Bob Iger, Fun King.
Refine and update professional profile
and expand professional network.
Identify industry mentor, add to contact list
and follow on social media.
Review graduate level academic
strategies for success.
Review Full Sail Library APA (writing/research/
professionalism) resources.

4. FOUNDATIONS OF BUSINESS INTELLIGENCE
Find an introductory book to Business
Intelligence to read as a supplementary
resource to the Full Sail textbook.
Read the book Algorithms to Live By and examine
its relation to BI real world decision making.
Start building a digital library of industry
resources that will be curated throughout
graduate studies.
Begin this month by curating tutorials, videos,
ebooks, and guides of all current BI technology and
information using Papaly resources folder.
Build professional network to include
organizations, upcoming seminars/lectures/
conferences.
Review Full Sail Library business resources section for
online resources and BI resource guide.

5. ENTERPRISE DATA MANAGEMENT
Research the top industry information
management systems.
Read and become familiarized with the article
Top BI Tools for Small and Big Business.
Develop a basic knowledge about IT to
better understand the comprehensive
integration of BI and IT structure.
Complete the Handbook for End Users
Lynda.com course for beginners.
Find supplemental resources to better
develop knowledge base and skills in data
model/database design.
Read Enterprise Data Modeling article from the
Business Intelligence Magazine

6. BUSINESS INTELLIGENCE TECHNOLOGIES
Search for internships within the BI industry
and begin the application process for a
company.
Contact the Career Development department for
resources and explore internship options
available in the area.
Research, identify and select a company for
the final BI Capstone project.
Use library resources to conduct academic
research and identify information about selected
business.
Research and develop insights about
possible BI career options within the industry.
Use career exploration tool and BLS data to find
current career information on BI careers.

7. BUSINESS INTELLIGENCE ANALYTICS
Expand industry business analytics
techniques.
Watch the Lynda.com video tutorials on
business analytics best practices.
Further develop an understanding and
comprehension on forecasting and
predictive analysis.
Watch the Lynda.com video tutorial on
forecasting in business analytics.
Research and develop insights about
possible BI career options within the
industry.
Use career exploration tool and BLS data to find
current career information on BI careers.

8. DATA MINING
Further develop data mining understanding
by using Microsoft Excel as a additional
tool.
Watch the Lynda.com video tutorials on data
mining, Microsoft Excel.
Discover how data mining is being used to
leverage business in today’s industry.
Read academic analysis about Monday Night
Football and data mining.
Gain insights into data mining as it relates
to marketing within the theme parks
industry.
Read the Forbes magazine article about Disney
data mining strategy.

9. PATTERNS & RECOGNITION
Find social media algorithm seminar/
lectures/talks to understand patterns in
social media BI.
Watch the Ted Talk video and Google Analytics
tutorial on how social media algorithms shape
our lives.
Identify a book that will further enhance
understanding of market research analytics
as it applies to BI.
Read the book Data-ism to understand patterns
in consumer insights and BI decision making.
Subscribe to a podcast of an influential
marketing analytics industry leader.
Read the article about popular BI analytics
podcasts and select one to follow.

10. PROCESS MODELING & ANALYSIS
Develop advanced understanding of
Microsoft Excel as a supplementary BI tool.
Watch the Lynda.com tutorial on Excel
Essential training.
Further develop understanding of decision
support systems and key performance in
BI.
Watch the YouTube video Data Science for
Marketing and Sales.
Update professionalism profile website.
Review and conduct any necessary changes to
existing professional website to include new
skills or on-site references.

11. DATA VISUALIZATION & CREATIVE REPORTING
Enhance presentation skills for
presenting complex data/information.
Watch the LinkedIN Learning tutorial video
about presentation skills.
Create a collection of inspirational data
visualization/infographic examples.
Curate unique data visualization/infographic
inspiration into Papaly library.
Research and develop skills to utilize
Google trends and Google Analytics for
BI research.
Watch Lynda.com tutorial on Google
measurement and visualization.

12. BUSINESS INTELLIGENCE LEADERSHIP & COMMUNICATION
Further develop business strategic
negotiation techniques through online
instruction.
Watch the Lynda.com video tutorial on
strategic negotiation in business.
Identify a book on leadership to
supplement leadership development
resources.
Read The Innovator’s Dilemma to understand
leadership in BI found in FS Library.
Interview a leadership mentor/manager
within the BI field to learn of best practices
and gain leadership insights.
Conduct an interview with one person in PLN.

13. BUSINESS INTELLIGENCE CASE STUDIES
Identify business magazine to subscribe to
in order to stay current on industry trends
& news.
Subscribe to digital versions of Fortune
magazine and businessintelligence.com
Update Resume to include new skills and
recent professional development.
Contact Full Sail Career Development and
library resources for Resume assistance.
Conduct an analysis and translate your
value as a BI professional to a prospective
employer.
Write an effective cover letter translating skillset
and professional value.

14. BUSINESS INTELLIGENCE CAPSTONE
Produce a digital copy of Capstone
project and assets.
Place electronic version of capstone
assets on professional website.
Contact employer career network to
determine possible career growth.
Visit career network to explore job
opportunities in BI.
Conduct advanced Microsoft Office
Tutorials to build professional skillset.
Complete lynda.com tutorial on Microsoft
Office training.

15. STUDENT CLUBS &
PROFESSIONAL ORGANIZATIONS

16. Josh Golf
Director of Marketing
Hardrock Live
Phone: 407-351-5483
Jason Sandoval
General Manager
Hardrock Live
Phone: 407-351-5487
Rolando Ramos
Business Intelligence Course Director
Full Sail University
Email: raramos@fullsail.com
Jeff Bohannon
Consumer Insights Manager
Universal Orlando Resort
Phone: 407-224-6281
Sharon Roebuck
Consumer Insights Manager
Universal Orlando Resort
Phone: 407-224-6989
Stephanie Heller
Market Research Analyst
Universal Orlando Resort
Phone: 407-224-3601
INDUSTRY CONNECTIONS

17. Resources
Reingold, J., & Adamo, M. (2012). The Fun King. Fortune, 165(7), 166-174. http://search.ebscohost.com.oclc.fullsail.edu:81/login.aspx?direct=true&db=bth&AN=75259531&site=ehost-live
Retrieved from EBSCOhost
LibGuides: Graduate Student Resources: Graduate Student Home. (n.d.). Retrieved February 24, 2018, from http://fullsail.libguides.com/grad_student
Matters, T. (2016, April 25). Algorithms to Live By. Retrieved February 24, 2018, from https://www.huffingtonpost.com/thought-matters/algorithms-to-live-by_b_9772622.html
Moss, L. T. (2015). Enterprise Data Modeling: Lost Art or Essential Science?. Business Intelligence Journal, 27-32.
15 Best Business Intelligence Tools For Small And Big Business. (n.d.). Retrieved February 25, 2018, from https://financesonline.com/15-best-business-intelligence-tools-small-big-business/
Jernigan, S. (2017, October 11). Help Desk Handbook for End Users: PC Basics, Hardware, Operating Systems, and Applications. Retrieved February 25, 2018, from https://www.lynda.com/IT-
Infrastructure-tutorials/Help-Desk-Handbook-End-Users-PC-Basics-Hardware-Operating-Systems-Applications/645046-2.html
{{careerPath.name}} 02828 5 years of experience. (n.d.). Retrieved February 25, 2018, from https://www.dice.com/career-paths?
title=Senior_Business_Intelligence_Analyst&location=02828&experience=5
Johnson, J. (2018, January 29). Data Analytics for Business Professionals. Retrieved February 25, 2018, from https://www.lynda.com/Data-Science-tutorials/Data-Analytics-Business-Professionals/
609019-2.html?srchtrk=index%3A26 linktypeid%3A2 q%3Abusiness%2Banalysis page%3A1 s%3Arelevance sa%3Atrue producttypeid%3A2
Carlberg, C. (2018, January 31). Business Analytics: Forecasting with Exponential Smoothing. Retrieved February 25, 2018, from https://www.lynda.com/Data-Science-tutorials/Business-Analytics-
Forecasting-Exponential-Smoothing/664827-2.html?srchtrk=index%3A31 linktypeid%3A2 q%3Abusiness%2Banalysis page%3A1 s%3Arelevance sa%3Atrue producttypeid%3A2
Davis, R. (2014, November 14). Learning Excel Data-Mining. Retrieved February 25, 2018, from https://www.lynda.com/Excel-tutorials/Excel-Data-Mining-Fundamentals/186872-2.html?
srchtrk=index%3A5%0Alinktypeid%3A2%0Aq%3Adata%2Bmining%0Apage%3A1%0As%3Arelevance%0Asa%3Atrue%0Aproducttypeid%3A2

18. Resources
Shetty, B., Ohlmann, J. W., & Gaeth, G. J. (2016). Analysis of monday night football viewership. Statistical Analysis & Data Mining, 9(5), 326-337. doi:10.1002/sam.11317
Retrived February 25, 2018, from http://web.b.ebscohost.com.oclc.fullsail.edu:81/ehost/detail/detail?vid=15&sid=ca20451d-456e-4cac-926c-
f970a7582dc8%40sessionmgr104&bdata=JnNpdGU9ZWhvc3QtbGl2ZQ%3d%3d#AN=118196028&db=a9h
Marr, B. (2017, August 31). Disney Uses Big Data, IoT And Machine Learning To Boost Customer Experience. Retrieved February 25, 2018, from https://www.forbes.com/sites/bernardmarr/
2017/08/24/disney-uses-big-data-iot-and-machine-learning-to-boost-customer-experience/#71d65af93387
Tufekci, Z. (n.d.). We're building a dystopia just to make people click on ads. Retrieved February 25, 2018, from https://www.ted.com/talks/
zeynep_tufekci_we_re_building_a_dystopia_just_to_make_people_click_on_ads/discussion
Data-ism: The Revolution Transforming Decision Making, Consumer Behavior, and Almost Everything Else by Steve Lohr - Audiobooks on Google Play. (n.d.). Retrieved February 25, 2018,
from https://play.google.com/store/audiobooks/details?id=AQAAAADlAAwA-M&source=productsearch&utm_source=HA&utm_medium=SEM&utm_campaign=PLA&pcampaignid=MKT-DR-
na-us-1000189-Med-hasem-bk-Evergreen-Nov1417-PLA-
audiobookspla%2AAQAAAADlAAwA~M&gclid=CjwKCAiAt8TUBRAKEiwAOI9pANwu_tnfwr9C16EBJicTqCkFRYXEmpZB7k_RKHqEllnlWCZWsnmzsxoCwBYQAvD_BwE&gclsrc=aw
.ds&dclid=CL2Z6fC7v9kCFZbJ4wcdUxAO9g
K. (2016, February 23). Advanced Google Analytics. Retrieved February 25, 2018, from https://www.lynda.com/Google-Analytics-tutorials/Advanced-Google-Analytics/428718-2.html
Surgeons, D. (n.d.). 6 of the Best Digital Marketing and Analytics Podcasts. Retrieved February 25, 2018, from https://www.digitalsurgeons.com/thoughts/inspiration/6-of-the-best-digital-
marketing-and-analytics-podcasts/
Clayton, C., & Narrator: Deaver, B. (2010). Innovator's Dilemma, The : Meeting the Challenge of Disruptive Change. Campton, N.H.: Simply Magazine Inc.
Business intelligence. (n.d.). Retrieved February 25, 2018, from http://fortune.com/tag/business-intelligence/
BI. (n.d.). Retrieved February 25, 2018, from https://businessintelligence.com/