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Course Code: MGLD 152
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Data-Based Decisions Making
Course Sector:
Management and Leadership
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Introduction
Training course introducion / brief
Today, data literacy is an essential business skill. Managers and leaders need to understand the characteristics and applications of data sets in order to communicate effectively with their teams and make important decisions for their organization. This training course is designed to provide leaders, senior managers, and professionals with the tools that will enable them to make data-driven decisions and develop strategies for using data in organizational planning. This course will enable them to improve their data literacy and get essential insights, tools, and vocabulary you need to thrive in today’s data-focused business environment.
Course Objectives
At the end of the training course, participants will be able to
- Gain a comprehensive understanding of the concept of data-driven decision making and the Analytics Process Model.
- Identify a process to effectively use data to make decisions
- Define a well-defined problem that leads to the analysis plan
- Integrate the problem, analysis plan, data collected, and analysis results to make a well-informed decision
- Evaluate alternatives based on the analysis
- Prepare to communicate the decision to stakeholders
- Apply data to improve their organization’s effectiveness, launch new products and services, or both
- Present concepts for data-driven projects to senior management, clients, or business partners
Course Audience
Who is this course for, and can benefit the most
This course is suitable to a wide range of professionals but will greatly benefit:
- Business Leaders and Executives
- Management Professionals
- Team leaders
- Supervisors
Course Outline
The course aims and learning outcomes
Overview of Data-Driven Decision Making
- What Is Data-Driven Decision Making?
- The Decision-Making Process
- Data-Driven Decision Making and the APM
How Data Helps in Decision Making
- The different types of data most important to managers and leaders
- Key data-related concept
- data quality
- interoperability
- data security
- Using data to improve organizational operations through better planning, marketing, production, and more
- How companies use data to build new products and services in various sectors
- Relevant, high-value sources for government, business, and NGO datasets
- Customer segments and personas to identify opportunities for data-driven decision making
- Value proposition canvas for using data to achieve organizational goals
Analytic and data publishing tools
- Machine Learning and Data Analytics
- Data-Centric Approach to Business
- Predictive Modeling for Decision Making
- Causal Modeling and Measuring Impact
- Artificial Intelligence and Deployment of Solutions in Business
- Decision Modeling and Computation
- Dynamic Decision Making under Uncertainty
- Algorithmic Decision Making
- Risk Analysis and Mitigation
- Contract Design and Negotiation Analysis
Defining the Problem
- Define the Problem
- Identifying Stakeholders
- Developing the Questions
- Identifying Risk and Uncertainty
Analyzing and Understanding the Data
- Conduct Analysis
- Creating an Analysis Plan
- Gathering Data
- Analyze Data
Evaluating the Alternatives
- Evaluate
- Identify Alternatives
- Cognitive Bias
- Evaluate Alternatives
Communicating the Decision
- Planning the Communication
- Defining the Communication Goal
- Communicating the Decision
- Revisiting the General Decision Support Model
Providers and Associations
Providing the best training services and benefits to our valued clients
Boost certificate of completion
BOOST's Professional Attendance Certificate “BPAC” is always given to the delegates after completing the training course, and depends on their attendance of the program at a rate of no less than 80%, besides their active participation and engagement during the program sessions.
ENDORSED EDUCATION PROVIDER
Flexible deadlines
Customized dates accordance to your schedule
Shareable Certificate
Earn certificate upon completion
COURSE METHODOLOGY
Our Training programs are implemented by combining the participants' academic knowledge and practical practice (30% theoretical / 70% practical activities).
At The end of the training program, Participants are involved in practical workshop to show their skills in applying what they were trained for. A detailed report is submitted to each participant and the training department in the organization on the results of the participant's performance and the return on training. Our programs focus on exercises, case studies, and individual and group presentations.
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