This tutorial is aimed at introducing students to the main concepts of Big Data. The material includes videos interactive exercises supplementary material and elements of gamification. Students will learn about the origins of the Big Data concept its definition and characteristics the technologies used and when Big Data is suitable for business.
In addition students will have a chance at putting into practice their knowledge and to consider the latest trends surrounding this technology. All of this intertwined with elements that will keep students entertained throughout their learning. For example badges can be won along the way recognizing the knowledge acquired while helping to increase engagement with content.
This material can be used in undergraduate and graduate programs (especially MBA and other management programs) as well as in executive education courses where topics such as technology management and digital business are incorporated.
The main objective of this material is for students to understand both the structure of the business intelligence system and what it is used for through interactive graphs and animations. It covers the topics of Data warehouses and Online Analytical Processing (OLAP) within Business Intelligence systems.
Given the multidimensional component of OLAP systems it is a difficult concept for students to understand and these interactive graphs and animations help them to fully understand these concepts in an entertaining way. Finally students will be able to see the effect of these systems on real businesses.
This multimedia is in a template form with the goal of giving students a background on machine learning, its types, and examples of what it’s used for. It is a simple and straight-forward material that involves text, video, GIF and interactive tools (quizzes, etc.)
The breakdown of sections is as follows:
2) What is Machine Learning
3) Why Now?
4) Infrastructure Needed
5) Types of Machine Learning
6) Test Your ML IQ
The tutorial is meant for students to do before they come into class, to give them a taste of the area of machine learning, without going too much in-depth (that will be the professor’s role).
Strategy | Entrepreneurship | Digital Technologies & Data Science | Innovation
THE TRANSFORMATIVE JOURNEY OF BI / BIG DATA IN TEL … (A) SI1-161-A-I
Big data is currently very trendy. All companies are working in one way or another with this technology. Nevertheless, beyond the hype, how does a great consolidated company, a market leader, revolutionize data and artificial intelligence? How do you extract the maximum potential of data to achieve a real impact on your clients and the business?
In a context of containment within the sector and decreasing revenues, Telefónica España, a telecommunications incumbent and leader in its market, decides to consolidate its leadership by opting to transform its business.
In this case study, Telefónica España faces the challenge of designing and building a model with structural and transversal data serving the whole company. As it does so it must attend to its daily business needs, assess the technological possibilities of big data and manage an important cultural change.
Part 1 sketches the profound changes in Spain’s telecommunications sector in the last several years en route to a position of international prominence. It then details the 2012 launch of Movistar Fusión and how Telefónica embraced big data, consolidated into one data warehouse, wrought internal cultural change and maintained strong operational performance all at once.