Data Analytics for Informed Decision-Making

Formats ⟩  Live Virtual: 4 hrs./1 Day  |  In-Person: 6 hrs./1 Day

Following the introduction to “Building a Data-Driven Culture,” the “Data Analytics for Informed Decision-Making” course guides organizations in strengthening their capabilities for data-informed decision-making. You will learn how to leverage data for strategic decision-making and transform your organization into a data-driven entity capable of making informed decisions in today's data-driven world.

Learning Objectives »

  • Understand data-informed and data-driven decision-making.
  • Make decisions from a data point of view.
  • Incorporate data culture into strategic decision-making.
  • Balance data with expertise while making strategic decisions.
  • Master tools for data-informed and data-driven decision-making.

Course Agenda »

Being Data-Informed vs. Data-Driven Decision-Making

  1. Data-Driven Decision Making
  2. Data-Informed Decision Making
  3. Differences and Implications
  4. The Importance of Data Quality

Changing Perspectives

  1. Using Questions to Improve Analysis
  2. Structured Interviewing
  3. Types of Data Analysis

Building a Decision-Making Toolbox

  1. Data Collection and Analysis Tools
  2. Visualization Tools for Data Interpretation
  3. Predictive Analytics and Modeling Tools
  4. Best Practices in Tool Selection and Use

Implementing Data-Informed Decisions

  1. Data Collection and Management
  2. Interpreting Data and Making Decisions
  3. Overcoming Challenges
Abstract circle design illustrating the organization of captured data to form datasets for informed business decision-making.

Data Analytics for Informed Decision-Making

Formats ⟩  Live Virtual: 4 hrs./1 Day  |  In-Person: 6 hrs./1 Day

Following the introduction to “Building a Data-Driven Culture,” the “Data Analytics for Informed Decision-Making” course guides organizations in strengthening their capabilities for data-informed decision-making. You will learn how to leverage data for strategic decision-making and transform your organization into a data-driven entity capable of making informed decisions in today's data-driven world.

Learning Objectives »

  • Understand data-informed and data-driven decision-making.
  • Make decisions from a data point of view.
  • Incorporate data culture into strategic decision-making.
  • Balance data with expertise while making strategic decisions.
  • Master tools for data-informed and data-driven decision-making.

Course Agenda »

Being Data-Informed vs. Data-Driven Decision-Making

  1. Data-Driven Decision Making
  2. Data-Informed Decision Making
  3. Differences and Implications
  4. The Importance of Data Quality

Changing Perspectives

  1. Using Questions to Improve Analysis
  2. Structured Interviewing
  3. Types of Data Analysis

Building a Decision-Making Toolbox

  1. Data Collection and Analysis Tools
  2. Visualization Tools for Data Interpretation
  3. Predictive Analytics and Modeling Tools
  4. Best Practices in Tool Selection and Use

Implementing Data-Informed Decisions

  1. Data Collection and Management
  2. Interpreting Data and Making Decisions
  3. Overcoming Challenges