Course Overview
This workshop is part one of the Five Pillars of Data-led Transformation. Participants will be introduced to the five pillars of data-led transformation and how they support the transition to AI-enabled operations. In this first module participants will also learn the value of data and how to identify opportunities to use data to transform their companies and support AI opportunities. Through the included workshop, participants will identify a specific opportunity to use data to create business value and support the transition to AI enabled operations, explore the features and functions of how it will transform their business, identify the benefits of the change and the specific business metrics that would be impacted by the change.
Who should attend
This workshop is intended for all individuals at all levels of knowledge. It is helpful if participants have attended FastLane’s Introduction to AI for Business (FL-AIFB) so that they have a basic understanding of what AI is, how it works, and a basic understanding of its potential.
Course Objectives
Upon the completion of this class participants will:
- Be able to identify and fully explain the five pillars of data-led transformation
- Be able to identify the value of data and how it supports AI enabled operations
- Be able to create a specific, well documented, proposal for using data to support their journey to AI enabled operations
- Be able to communicate to others the value of data and the steps that can be taken to use it to better incorporate AI into their business
- Understand the next steps they need to take to continue their data-led transformation journey
- Be prepared to take the next workshop in the series: Business Value of Analytics Workshop (FL-5PBVA)
Outline: 5 Pillars - Value of Data Workshop (5PDVC)
Introduction
Baseline Concepts
- The language of data
- Recognizing the need for data literacy
- Data
- Big Data
- Databases
Understanding Data
- Data - Business alignment
- Value of data
- Data sources
- Data infrastructure
- Data quality
- Managing Data
- How data is used for analytics, automation, and AI