Porters 4 Forces - Business Analytics 2017

Network Analysis is very powerful! If you thought that conventional Data Analysis is breaking all boundaries in terms of finding new significant insights on data we were not able to track and see before, then network analysis will truly blow your mind.  In an era of constant growth in social media  use and networking between people, everyone seems to want to connect and share things with each other. In fact, everyone seems to want to be part of a group or in our case, a network. Network analysis gives you the ability to see even deeper connections between individuals as we can analyze different aspects of their connections with each other, how important they are to each other and to the network, how often do they interact with each other and how well they are connected to others. Don't hurt my Ego-network! A network is made of nodes - the individuals in a network (e.g people, objects etc.), and edges - the connections between these nodes. There are man...

Data Visualization In a world of information overflow, Data Visualization is getting more and more important. Excel sheets tend to grow to a “wall of numbers” quickly. The information within its data is hard to recognize and understand. As David McCandless phrased it “Data is the new (s)oil” . It can be considered to be “a fertile, creative medium”. It allows us to “grow” visualizations from it or dig into it. We have to use smart tools and methods to make information easy to identify and understand for other humans. A lot of creativity is required to come up with insightful visualizations. They can even be considered a kind of art. We learned about the following best practices of data visualization: - Trends can be identified by timeline analysis - Ratios are well represented by space/area (people have no perception of ratios using numbers) - Storytelling is driving attention - Interactivity is driving engagement - Data Visualization can be  b e a u t i f...

It's been a tough week to say the least . Internal vs External, VVV(VV), Megabyte, Zetabyte and even Brontobyte, Paradigm shifts, IoT, Datafication, N=All, Life cycles and Data Warehouses, ETL, OLTP, EDW, Relational, Normalized, Data cubes, Balance Scorecards, Twitter, Facebook, Blogger, Hans Rosling, Southwest Airlines, KPI's, Dimensions and Facts, Visualization and Dashboards.... phewwww...so much to remember, so much to understand, and so little time to do it. Big Data is taking over our lives in such a fast pace and we want to understand it better so we can make the best use out of it. So, after all of this introduction, what is Big Data? How do we define it and how do we use it? How does Big Data affect our lives and how can we make it improve our daily operations? Big Data Big Data is defined as extremely large sets of information that can be analyzed to reveal patterns, trends, and associations relating to human behavior and interactions. In the past we use...