In order to adopt Big Data, senior leadership must be able to establish investment priorities, balance speed and cost, and ensure acceptance by the front line. But they must also build a plan based on data, analytic models, and tools. In this course, you will compare scaling up to scaling out, identify different analytical models, and learn how to secure funding for data initiatives.
The Strategic Planning Perspective
start the course
describe what Big Data is and is not
identify the value of Big Data
describe the four main challenges of Big Data
describe why Big Data is a leadership problem
integrate from multiple data sources
compare scaling up to scaling out
manage risk and governance issues
identify examples of analytical models
secure funding for Big Data initiatives
recall some of the top 10 companies that are using Big Data solutions
Practice: The Planning Perspective
become more familiar with Big Data as it relates to strategic planning
The materials within this course focus on the Knowledge Skills and Abilities (KSAs) identified within the Specialty Areas listed below. Click to view Specialty Area details within the interactive National Cybersecurity Workforce Framework.