Decision Science Training

DECISION-MAKING TRAINING AND DEVELOPMENT

ENHANCE YOUR CAPABILITIES AND DIFFERENTIATE YOUR SKILLS

Our training and development are for decision-makers, leaders, and practitioners who deliver the results. Our training and development efforts are case-based and hands-on development in making the right choice and knowing when a decision is good, evaluating alternatives, modeling and analytics, and framing and structuring opportunities or problems.

We offer two types of training course categories. The On-Site Training available upon request [can be customized depending on your needs, see ideas for training below], and the Standard Training offered through course providers or self-registered here at our training facilities.

Standard Training

Development of Organizational Capabilities; we provide standard training courses at our training facilities. These courses are case-based. The level of hands-on experience depending on the type of training course you sign up for. The ongoing training is described below. If you have any questions please don’t hesitate to contact us.

Standard Training Classes:

ECON 1.1 – ECONOMIC MODELING, ANALYSIS & INSIGHTS, 2-DAYS

Course Days: 25-26 August 2021
Location: Nydalen in Oslo, Norway
Available Seats Left: 11
Price: 17 000 kr (NOK)

This course is for:

  • Practitioners & Analysts
  • Advisors
  • Team Leaders
  • Leaders and Decision-Makers

Description

An essential part of projects and capital investments is the economic viability of the selected solution. What makes up the economics is often a set of inputs that are uncertain for most businesses. Yet, these uncertainties are seldom accounted for in a meaningful way. In this course, you will learn how to account for uncertainties in economic analysis and how to communicate this to your decision-makers.

This course will enable you to build economic cash flow models in MS Excel, model market and project uncertainties and decisions, and gain meaningful insights from analysis.

This hands-on course is case-based and provides you with practical application of economic modeling and analysis and effective use of economic indicators in decision-making. Explore how to develop dynamic economic models, identify what affects the value of an investment, use incremental analysis to optimize business value, and communicate insights from analyses.

Learning Summary

  • Structure problems.
  • Use MS Excel to build cash flow analysis utilizing dynamic modeling techniques.
  • Practical case studies in economic modeling with uncertainties and decisions.
  • Explore ways to identify critical uncertainties for your project.
  • Evaluate and tradeoff economic indicators when making decisions.
  • Develop capabilities to solve problems using decision trees/simulations.
  • Ability to apply investment analysis techniques directly in your business.
  • Unique ability to learn how Decision Science gives value to decision-making.

DA 2.3 – ADVANCES IN DECISION MODELING & ANALYSES – HELP DECISION-MAKERS MAKE THE RIGHT CHOICE, 2-DAYS

Course Days: 14-15 September 2021
Location: Nydalen in Oslo, Norway
Available Seats Left: 15
Price: 19 000 kr (NOK)

This course is for:

  • Practitioners & Analysts
  • Advisors
  • Team Leaders

Description

Many decisions are often made without a clear understanding of the risks and rewards. Having the capabilities to perform analyses that incorporate decision choices and the impact of internal and external uncertainties is critical for providing decision-makers with meaningful insights. Explore how you can help decision-makers make informed decisions.     

This course will enable you to; structure problems, incorporate the problem frame into economic models using MS Excel; and perform deterministic and probabilistic analytics using statistical methods and techniques to draw insights from the evaluations for decision-makers.

This hands-on case-based course allows you to build economic cash flow models with decisions and uncertainties for projects and capital investments. Discover the use of applied statistics in economic models by building decision trees and stochastic models. Learn to conduct probability assessments, sensitivity analysis to learn what matters, incremental analysis between options, and explore how to select the best option when faced with multiple objectives.

Learning Summary

  • Build dynamic decision models in MS Excel.
  • Incorporate variables into economic models to solve complex problems.
  • Learn to identify key value drivers to understand what matters.
  • Conduct probability assessments and de-biasing of inputs used in analyses.
  • Probabilistic problem-solving capabilities using decision trees and stochastic models.
  • Provide capability of applying insightful analytical techniques to decisions.
  • Explore the power of Value of Information in investment analysis.
  • Ability to communicate analytical results to decision-makers.

DA 2.5 – DECISION-MAKING UNDER UNCERTAINTY – HOW TO ALWAYS MAKE THE RIGHT CHOICE, 2-DAYS

Course Days: 22-23 September 2021
Location: Nydalen in Oslo, Norway
Available Seats Left: 12
Price: 23 000 kr (NOK)
Participants are Given 1 Hour Free Consultant Support

This course is for:

  • Decision-Makers
  • Leaders
  • Advisors
  • Team Leaders

Description

Successful decision-making requires a structured framework; intuition is not sufficient. Ensuring a business invest in the best alternative(s) is essential for sustainable value and competitiveness. Discover how you can steer away from poor choices and always make the right decision for yourself and your company.  

This course applies a Decision Science approach to making good decisions under uncertainty. It enables you to understand what makes a high-quality decision and provides a framework for how to solve decision problems.

This case-based course explores key elements of decision quality often overlooked in decision-making. After this course, you will be able to (i) actively use the critical elements in the decision-making by asking a set of critical questions, (ii) explore economic analysis and how to interpret probabilistic economic results and conduct tradeoffs, and (iii) how to ensure you are making a good decision.

Learning Summary

  • Ability to assess critical elements of decision quality.
  • Learn the essential tools to structure decision problems to guide project teams.
  • Learn how cash flow economics are used to provide economic decision criteria.
  • Ability to use sensitivity analysis to identify key value drivers – Find out what matters.
  • Learn about deterministic and probabilistic analysis and interpretation of its results.
  • Learn how to make decisions under uncertainty.
  • Learn how to make decisions with multiple objectives – tradeoffs.
  • Ability to assess the quality of your decision – how to always make the right choice.

On-Site Training

Development of Organizational Capabilities; we provide on-site training courses at your location or at our facilities. The training can be standard or customized based on your specific needs, see examples of training below. We provide targeted workshops with specific challenges you may have. We also take pride in our effort to implement sustainable decision-making cultures in organizations. If you have any questions please don’t hesitate to contact us.

Examples of Training Courses:

MAKING THE RIGHT DECISION UNDER UNCERTAINTY, 1-DAY

This course is intended to give managers, leaders, and decision-makers a framework to make good decisions and recognizing when a decision is bad. You will be taken through what to look for in the early stages of an opportunity or problem, how scope and solutions can be developed in a meaningful and novel way, what questions to ask to validate the strengths of information used in the analyses, the importance of decision criteria and tradeoffs between them, how to use logically and correct reasoning when making decisions, and how you create commitment to action around the solution(s) selected. The course will allow you to practice decision-making and support your teams in an efficient way through projects, investments, or other business decisions. Elements we will cover include: the concept of Decision Quality, framing and structuring, deterministic and probabilistic analysis, evaluation, and alternative selection. The course is a mix of presentations and hands-on case studies.

DECISION SCIENCE OVERVIEW, 1-DAY

This overview course is intended to give you a high-level overview of what Decision Science / Decision Analysis (DA) is, how it can help you and your decision-makers to make better decisions. We will touch upon the DA frameworks, tools, techniques, and best practices used for efficient decision-making. Elements we will cover include: the concept of Decision Quality, framing and structuring, deterministic and probabilistic analysis, evaluation, and alternative selection. The course is a mix of presentation and hands-on case studies and is suitable for analysts, decision-makers, project teams and leaders, controllers, etc.

FRAMING & FACILITATION, 2-3 DAYS

This course will equip you with a framework, tools, and practices for efficient framing and structuring of business problems and opportunities. You will get hands-on practice using these elements through several business case studies that can be applied in your business. A solid problem/opportunity-frame is essential for structuring your analysis and for providing valuable insights to your decision-makers. Secondly, the course will provide you with a good understanding of how to facilitate meetings, workshops, and framing meetings. The course will give you an opportunity to practice facilitation techniques that are used to utilize the strength of your team.

DECISION SCIENCE – MODELING AND EVALUATION, 1-3 DAYS

This is an intensive introductory course that will take you through many of the elements of Decision Science / Decision Analysis (DA). The course is a hands-on computer-based course which will cover DA elements such as framing and structuring, deterministic decision modeling under risk and uncertainty, probabilistic modeling, evaluation and insights, and communication of result to management. The class will briefly also cover more complex analytics such as Value of Information (VOI) analysis. The expectation after the course is that you know how to frame and structure problems, understand how value-focused thinking can be applied to business problems/opportunities, capable to identify key value drivers, understand deterministic and probabilistic modeling, and that you understand how to draw insights from analysis and make these insights presentable to management and decision-makers.

ADVANCES IN DECISION SCIENCE – MODELING AND EVALUATION, 2-5-DAYS

This advanced intensive intermediate course will take you through many of the elements of Decision Science / Decision Analysis (DA). The course is a hands-on computer-based course that will cover DA elements such as framing and structuring, deterministic decision modeling under risk and uncertainty, probabilistic modeling, evaluation such as Value of Information and Value of Control, insights, and communication of result to management. The course is a mix of presentations and hands-on case studies. Much time will be dedicated to structuring business problems, decision modeling, and evaluation under risk and uncertainty.

The expectation after the course is that you know how to frame and structure problems, understand how value-focused thinking can be applied to business problems/opportunities, capable to identify key value drivers, understand deterministic and probabilistic modeling inclusive of Value of Information studies, and that you understand how to draw insights from analysis and make these insights presentable to management and decision-makers.

LET’S KNOW HOW WE CAN HELP YOU AND YOUR ORGANIZATION

ThinQ Decisions

PROVIDE CLEAR CHOICES

Nydalsveien 33

0484 Oslo

Norway

info@thinQdecisions.com


Organization number: 923 608 893 MVA