Day 1 - Discovery

Discover Your Big Data and Data Science Position.

Hour 1 - Let's Get Educated on Big Data and Data Science.

9:00-9:20: Ready to make a difference

- Icebreaker activities for building rapport.	
  Output: Feel comfortable in giving 100% in collaborating with the group. 

9:20-9:40: Your Big Data starting point

- Let's get on the same page about Big Data.
  Output: Explain where you and your organisation are positioned in the big data movement. 

9:40-10:00: Your Data Science starting point

- Let's get on the same page about Data Science.
  Output: Explain where you and your organisation are positioned in the data science industry. 

					

Hour 2 - Discover your Big Data Position.

10:00-10:20: What is holding you back

- Discover your Big Data problems and frustrations (or wants and aspirations).	
  Output: Identify the most likely problems and current frustrations in relation to big data. 

10:20-10:40: What are you missing out on right now.

- Discover your Big Data vision.
  Output: Identify the advantages of your big data vision statement. 

10:40-11:00: What technology and data is available to help you make it happen right now.

- Discover your Big Data resources.
  Output: Identify the available resources for achieving the big data vision. 

					

Hour 3 - Discover your Data Science Position.

11:00-11:20: What is holding you back

- Discover your Data Science problems and frustrations (or wants and aspirations).	
  Output: Identify the most likely problems and current frustrations in relation to data science. 

11:20-11:40: What are you missing out on right now.

- Discover your Data Science vision.
  Output: Identify the advantages of your data science vision statement. 

11:40-12:00: What technology and people are available to help you make it happen right now.

- Discover your Data Science resources.
  Output: Identify the available resources for achieving the data science vision. 

					

Hour 4 - Lunch.

12:00-13:00 Eat something healthy and be merry.

					

Hour 5 - Let's Start Architecting.

13:00-13:20: Get Ready to Play Big

- Develop the Big Data solution and architecture.	
  Output: Explain how your big data solution will look. 

13:20-13:40: Plan to Evolve.

- Develop the Big Data iterative plan.
  Output: Explain the milestones and tasks involved in order to iteratively achieve your big data vision. 

13:40-14:00: Ensure you have what it takes.

- Develop the Big Data schedule and investment.
  Output: Explain how much time and money will be needed to achieve your big data vision. 

					

Hour 6 - Let's Start Resourcing.

14:00-14:20: Get Ready to Play Big

- Develop the Data Science solution and architecture.	
  Output: Explain how your big data solution will look. 

14:20-14:40: Plan to Evolve.

- Develop the Data Science iterative plan.
  Output: Explain the milestones and tasks involved in order to iteratively achieve your data science vision. 

14:40-15:00: Ensure you have what it takes.

- Develop the Data Science schedule and investment.
  Output: Explain how much time and money will be needed to achieve your data science vision. 

					

Hour 7 (First Half) - How do we make it work.

15:00-15:30: Your Plan to Success

- Big Data and Data Science problem solving framework.	
  Output: Understand the step by step process involved in your Big Data Science Solution. 

					

Hour 7 (Second Half) - Break.

15:30-16:00 Get some fresh air.

					

Hour 8 - Let's Recap.

16:00-16:20: Know what you need

- Present the Big Data and Data Science vision.	
  Output: Explain how your big data solution will look. 

16:20-16:40: Know how to get it.

- Present the Big Data and Data Science plan.
  Output: Explain the milestones and tasks involved in order to iteratively achieve your data science vision. 

16:40-16:00: Future proof you solution now.

- Present areas for Big Data and Data Science expansion.
  Output: Identify areas of future improvement. 

					

Day 2 - Value Influencers

Discover The Big Data and Data Science Value Influences.

Hour 1 - Big Data and Data Science Stories and Case Studies.

9:00-9:20: Rise to the challenge and remain focused.

- Icebreaker activities for establishing focus.	
  Output: Know how to get into the zone and be productive. 

9:20-9:40: Expose yourself to success imprinting stories.

- Present Big Data Story/Case Study.
  Output: Give an example of how big data has changed the game. 

9:40-10:00: Expose yourself to success imprinting stories (a little more).

- Present Data Science Story/Case Study.
  Output: Give an example of how data science has changed the game. 

					

Hour 2 - Data Science Internal Collaboration.

10:00-10:20: Control, control, control.

- Present the Data Science Psychology.	
  Output: Understand the data science psychology and its application in team collaboration. 

10:20-10:40: Establish the Dream Team.

- Identify the Data Science Team.
  Output: Identify who the internal people are that are critical for the success of the Big Data and Data Science plans. 

10:40-11:00: Motivation is Everything.

- Develop the Data Science Motivation Strategy Plan.
  Output: Explain what motivational forces are driving the team and how these forces will be maintained. 

					

Hour 3 - Data Science External Collaboration.

11:00-11:20: Know Them.

- Identify the Data Science Users.	
  Output: Identify who the external users are. 

11:20-11:40: Know the Experience.

- Identify the Data Science User Experiences.
  Output: Identify what experiences the external users will be exposed to. 

11:40-12:00: Power of Influence.

- Develop the Data Science Influence Plan.
  Output: Explain what influential forces are driving the users and how these forces will be maintained. 

					

Hour 4 - Lunch.

12:00-13:00 Eat something healthy and be merry.

					

Hour 5 - Big Data Value Extraction.

13:00-13:20: Extract Value.

- Present the Big Data Value Extraction Method.	
  Output: Understand the nature of value and how to extract it. 

13:20-13:40: Measure the Value.

- Identify the Big Data Returns.
  Output: Identify what value is held within your data.  

13:40-14:00: Maintain and Grow.

- Develop the Big Data Value Extraction Plan.
  Output: Explain how you can turn your big data into big data assets. 

					

Hour 6 - Big Data Value Creation.

13:00-13:20: Create Value.

- Present the Big Data Value Creation Method.	
  Output: Understand the nature of value and how to create it. 

13:20-13:40: Innovate.

- Identify the Big Data Value Creation Opportunities.
  Output: Identify the external opportunities that are available for creating value.  

13:40-14:00: Maintain and Share.

- Develop the Big Data Value Creation Plan.
  Output: Explain how you can turn your big data assets into wealth. 

					

Hour 7 - Bring It All Together

15:00-15:10: Vision.

- Review the Big Data and Data Science Vision.	
  Output: Understand your Big Data and Data Science Vision. 

15:10-15:20: Plan.

- Review the Big Data and Data Science Plan.
  Output: Understand your Big Data and Data Science Plan.

15:20-15:30: People.

- Review the Big Data and Data Science People.
  Output: Understand your Big Data and Data Science People. 

15:30-15:40: Value.

- Review the Big Data and Data Science Value.
  Output: Understand your Big Data and Data Science Value. 

15:40-15:50: Now.

- The Big Data Position, the Big Data Vision and the Data Science Path.
  Output: Explain your Big Data position, where Big Data can take you and how Data Science can get you there.