The main topic of my research in data analytics is named Explanatory Data Analysis, which helps connect data to business needs to improve the decision making process. Below you can find the abstract of the research poster I have developed to explain my work on this topic, the video presentation of the research poster and a link to download the poster on ResearchGate.
Explanatory Data Analysis: KPIs, Data Visualization and Storytelling
Data analytics is the scientific process of discovering and communicating the meaningful patterns which can be found in data It is also concerned with turning raw data into insight for making better decisions.
Most of the time we focus on the discovery part, also called exploratory data analysis, which is of paramount importance to understand what is behind the data and to obtain relevant findings, but as a result of this excessive focus on this stage of data analytics we usually forget the importance of effectively communicating these findings to an audience to help them making better decisions. This “last mile” of the data analytics process is what data professionals need to closely pay attention to connect data with business needs.
This part of the data analytics process is referred to as Explanatory Data Analysis and combines the skills: data, which is how we turn raw data into metrics and then KPIs, visualization, which is how we visually represent data using dashboards and reports, and storytelling, to create an impact in the audience through stories.
Check the the abstract of and download my research poster here:
Check the YouTube video poster presentation and an in-person presentation of my research work here:
Alan Ferrándiz Langley 