Welcome to our Technology Management Laboratory. During several years I have been doing these videos to introduce our curses about business and technology courses. I believe that several of these courses are in the middle line between businesses and information technology.
Introduction to Technology Management laboratory is an overview of both business and technology sides of management. It is an overview of the importance of people, organization, and technology in globalization. It also mentions Business Intelligence, Strategic Management, Project Management and Innovation. We continue with Social Media and Mobile Devices to finish with the next generation of leaders and social responsibility. How can be apply these topics in our current discussions?
This graphic shows the steps to convert data into Business Intelligence. We go from big data warehouses to do data mining and extract the pieces that we will filter, analyze and store as records in databases.
We then organize, sort, and clean records to produce information. We start the process of selecting useful information that we can convert into intelligence. Similar to military intelligence, we study this meaningful information to produce business intelligence for our organization. This business intelligence allows leaders and managers to make decisions keeping the competitive advantage. Business intelligence is also useful to expand to new markets, explore new countries, and try new systems. Two important considerations are: Control Information Overload and Validate Sources. These will help to have better Data at the Base. It is called “database” for a reason. We are using this graphic and video in our courses. #DrLepervancheCampus
There is a mind-boggling amount of data floating around our society. Physicists at CERN have been pondering how to store and share their ever more massive data for decades – stimulating globalization of the internet along the way, whilst ‘solving’ their big data problem. Tim Smith plots CERN’s involvement with big data from fifty years ago to today.
Why big data is important in the creation and development of useful databases? What is the connection with business intelligence?
How big data is useful to solve environmental issues?