Slaughter Analytics – Part 2

In the first part of Slaughter Analytics, I showcased how I performed self-service ETL to pull in and model data from a livestock slaughter statistics webpage. In this post I shall focus on performing some simple analytics through visualizations.

Excel 2013 gives us two more add-ins for visualization, interactive analytics and storytelling: Power View and Power Map. The video below showcases the demo that I used to perform the analysis of the extracted and modeled data.

Slaughter Analytics – Visualization

 

Self-Service Business Intelligence Presentations

For those who are interested, here are the two presentations that I presented at Dev Day 2014 and SLASSCOM TechTalks: Smart Data Engineering on the 17th and 26th of November, respectively.

Serve Yourself: Self-Service Business Intelligence

(Dev Day 2014)

Self-Service Business Intelligence

(SLASSCOM TechTalks: Smart Data Engineering. Lightning Talk)

Slaughter Analytics – Part 1

So I got this wonderful opportunity to present at Dev Day 2014, here in Colombo, a couple weeks ago, and since my craze with Power BI was still at an all time high, I submitted to talk about self-service business intelligence. Despite the concept being around in the mainstream for at least a couple of years, it was decided that it was a fantastic topic to be presented on, and I was given the go ahead. A week later, I got another opportunity to present the same, albeit in a constricted version, as part of a series of lightning talks at the first ever SLASSCOM TechTalks session, titled “Smart Data Engineering”.

This post is a follow-up to these presentations, where I try to explain my demo that I performed on stage.