Drive innovation and growth through good use of data
Build a strong data culture, where users, regardless of their role or level of expertise, hone their analytical skills by learning to ask the right questions of their data, interpret their findings, and take informed action.
Duration 8 hours
Objectives
Key data analysis and analytical strategies
Link data and analytics to business goals and objectives.
Increasing reliance on data and analytics
Ask good questions of the data to obtain information from the data.
Initiate the process of constructing and using the data narrative
Creating a culture of data literacy
Agenda
Part 1 -Overview of data literacy
Current state of data in the world
Data structure and trust in organizations
Democratization of data
The four levels of analysis and analytical strategy
Defining and learning about data literacy and its features
Part 2 - Data Literacy Culture
Value of data literacy for organizations
The role of leadership in data and analytics.
Key characteristics of a data literacy culture
The role of the ChiefData Officer
Part 3 - Data-driven decision making
Framework for data-driven decision making
Six-phase approach to data-driven decision making
Learning to ask good questions with data
Apply mental models to decision-making.
Addressed to
People who use data to help make decisions in an organization.
Requirements
Basic knowledge of business intelligence.
It is recommended that students are familiar with and understand the key features of their data.