Performance Data Analytics and Visualization

Program Overview

Performance data analytics and visualization are one of the most critical steps in the cycle of strategic planning and performance management as it equips organizations with the needed insight into what is going in their organizations. It helps clarifies actual progress made in achieving strategic objectives and what were the key drivers and obstacles of progress. This module provides a wide spectrum of basic and advanced tools used in data analytics and visualization at four different levels of analysis:

Descriptive, Diagnostic, Predictive and Prescriptive. The Module includes several varied hands-on applied examples to provide application opportunities for participants.

Program Objectives

Upon the successful completion of the module, participants should be able to:

Identify the key trends in data analysis and visualization
Understand the different levels and purposes of data analytics
Recognize and use the tools of descriptive data analysis for measuring central tendency and dispersion.
Use the tools of inferential statistics for estimation and hypothesis testing
Use correlation and regression analysis to discover and measure the correlation between multiple variables.
Perform analysis of variance to attribute variances to its sources.
Perform time series analysis for forecasting future values of performance measures
Identify nine key categories of data visualization
Identify popular data analytics applications and criteria for selection
Know how to use data for storytelling