3-Day Seminar and Workshop

Modelling Business Decisions: Improved Decision Capability through Decision Intelligence
What will be the impact of today’s decisions tomorrow?

Click here for an in-house quote request or for further information regarding in-house training.

Overview:
Every decade or so, a new business discipline is born. Did you know that there was a time before Project Management, Business Intelligence, and Business Process Management? Nowadays, we are working professionally with proper methodology and tools in those topics.

The time has come to also modernize our decision making. Decision Intelligence is a proven approach that has saved hundreds of millions of dollars for organizations worldwide. It brings the best of Big Data, Predictive Analytics, Deep Learning, and Systems Modelling to every role in the organization, including senior managers as well as quantitative modelling experts.

Decision Intelligence is to understand how today’s decisions impact future outcomes, under a given set of conditions; “IfI make this decision today, what will be the outcome tomorrow?” It uses decision model diagrams to show how decisions impacts key parts of your organization, leading ultimately to outcomes of interest. Decision Intelligence does not rely on large data volumes or high data quality. It relies on small data and great knowledge. It combines human judgment along with hard data. This way, a decision outcome can be determined even when some data is missing. Both qualitative and quantitative impacting facts may be included.

So after modeled data, processes and systems for decades, let’s start modeling decisions.

Learning Objectives
From this seminar and workshop you will learn

  • What the Decision Intelligence (DI) discipline is, how it is performed and how it is used
  • When to use a decision model and by who
  • How to design a decision model, to execute it and value various scenarios
  • How to establish Decision Intelligence in an organization

Seminar and Workshop Outline

Introduction to Decision Intelligence

  • Why Decision Intelligence?
  • Basic elements of a decision model
    • Outcomes
    • Levers
    • Assumptions
    • Dependencies
    • The role of data
  • Decision model examples

Decision Modeling best practices

  • How to combine intangible factors (like employee morale and customer satisfaction) with tangible ones
  • How to manage assumptions and to change direction when reality doesn’t quite match them
  • How to avoid the most common trap that causes Big Data projects to fail, and how to radically accelerate the value that you receive from all data, big and small
  • How to make decisions that have multiple outcomes
  • The three secrets of small data, and how you can use it to supercharge your decision intelligence

The Psychology of Decision Making

  • How decision intelligence uses the latest research in neurobiology, cognitive science, and collaboration to make decision-making intuitive, natural and fun!
  • Why great organizations make terrible decisions, and how to fix them

Executing a Decision Model

  • Using software execute a decision model
  • Tools requirements and examples
  • Making scenarios

Working with Decision Intelligence

  • Setting Up a Decision Intelligence Workshop
  • Justifying an investment in Decision Intelligence
  • Decision Intelligence roles and responsibilities
  • How to ensure your team is aligned around outcomes, so that every decision pulls in the same direction
  • The secret to “seeing around corners” – predicting the future by combining data with your team’s expertise

Extending the work

  • In-process decision making: moving from one-off to the continuous use of decision intelligence as part of a “business navigation” structure.
  • How to create a decision collaboration team to design, test, and update your organization’s most important decisions, creating continuous improvement and organizational learning.
  • How Decision Intelligence superchargesPerformance Management , Operational Systems,Business Intelligence, and Balanced Scorecards
  • How Decision Intelligence uses Big Data, Machine Learning, and Predictive Analysis
  • How Decision Intelligence interacts withwith Data Governance and Information Management
  • How Decision Intelligence supercharges Program Management

Target Audience
Those serving in the “Chief Decision Officer” role, or supporting a person with this responsibility, who are responsible for gathering data and expert opinions to drive complex decisions, and to help to structure and moderate the decision-making process for high-value decisions in complex environments.

Data scientists, statisticians, and/or business intelligence experts, who manage data and visualizations to support decision making.

Data Modelers and Data Architects who are looking toadvance their skill set by learning to be a Decision Engineer or Decision Architect.

Speaker's Biographies

Mark Zangari Mark Zangari has a background in mathematics and physics, and was honoured in 1993 as one of only two Australian winners of a British Council Postgraduate Bursary. This included an invitation to continue his research at Cambridge University, where he worked with world-leading scientists such as Stephen Hawking. Transitioning to the private sector during the late 1990s, Mark was appointed CTO of SpatialInfo in 2000, and founded the company’s US operations. During his tenure, the company grew from a standing start to winning many multi-million dollar contracts. SpatialInfo was ultimately acquired by Synchronoss Inc., with significant returns to the company’s investors.
Dr. Lorien Pratt Dr. Lorien Pratt is an internationally recognized pioneer in machine learning, having developed the algorithms used to transfer knowledge between neural networks. While a professor of computer science at the Colorado School of Mines, she received the prestigious NSF CAREER award and co-authored the book “Learning to Learn” with Sebastian Thrun. 

Following her successful academic career, Lorien entered the commercial sector, rapidly achieving status as a globally recognized telecom technology analyst with Frost and Sullivan’s Stratecast division. Between 2004 and 2007, she led its OSS analysis practice, achieving 400% revenue growth during that period.

In-House Training
If you require a quote for running this course in-house, please contact us with the following details:

  • Subject matter and/or speaker required
  • Estimated number of delegates
  • Location (town, country)
  • Number of days required (if different from the public course)
  • Preferred date

Please contact:
Jeanette Hall
E-mail: jeanette.hall@irmuk.co.uk
Telephone: +44 (0)20 8866 8366
Fax: +44 (0) 2036 277202