Instruktør: Kjetil Kalager Executive Advisor big data and advanced analytics
Big Data has become THE buzzword in today’s media. Unfortunately, most in-depth information on Big Data are for those building the solution, not those seeking a competitive edge through advanced analytics.
Now we share our experience and best practices. Learn about advanced analytics and how big data can be transform your business. Get fundamental understanding of principles, techniques and platforms, and be informed about the challenges involved in implementing a solution.
Most people in business find it difficult to make decisions based on the large amount of information they have. Big Data is about solving this challenge. Affecto has more than 15 years of experience in Business Intelligence and Big Data.
A deeper understanding of available business information may create development opportunities and can transform knowledge into action through good decision-making. Real time information and self-service give you precise and relevant information. This way you can take smart decisions and give personalized service and advice.
This course aims at anyone who is interested in analytics or business intelligence or involved in influencing business results through innovation and business development.
Instruction consists of theory sections followed by practical exercises. The course material is in English, but teaching is in local language
What is Big Data, and how to make use of it?
Is Big Data just a hype?
Innovation with Big Data
Client cases and best uses of Big Data in real life
Data discovery and analysis with new tools such as IBM Watson and Blue Mix
What are the main technologies within Big Data?</b>
Analysis and data mining
Introduction to data mining and Big Data techniques</b>
Big Data and marketing: Segmenting and targeting your audience
Social media analytics. How to get data from the web and understand the buzz
Text mining. How to understand text and boost your prediction level
Internet of Things and Big Data: Utilizing sensor data for predictive maintenance and analytics
Vizualisation and analysis with tools as Tableau
Big Data challenges
How to choose the right tools
Organizing Big Data projects
How to get started with Big Data successfully