Obtaining maximum value from Big Data projects requires multidisciplinary knowledge in:
Business to comprehend the business problems and identify business opportunities that can be tackled with Big Data
Analytical to skilfully apply the Big Data models that create the most value
IT/Database to understand the IT requirements related to Big Data projects
Management to view process as a whole with a focus on change management and people
This Executive Master Class provides participants with the necessary skills to successfully manage this multidisciplinary competencies and to create value with Big Data in their organization.
Are you ready to discover the opportunities out there and be part of a 17 day programme in Brussels and San Francisco?
Because this programme addresses both business and Big Data, it’s beneficial for a number of professionals. However, understanding Big Data models requires at least a basic analytical background.
This programme is ideal for a multidisciplinary team of 2 people from the following backgrounds:
Business analysts who want to use Big Data analytics in a business context
Professionals with an IT/technology background who want to learn how this technology can be used to create business value
Business experts with a strong analytical background who will be involved in Big Data projects
This module connects the worlds of data scientist and business expert by:
Presenting an overview of typical analytical & Big Data applications that create value in several industries (Finance, Retail, Telecom, Pharmaceuticals, …)
Creating awareness of the latest business trends in Big Data
Aligning Big Data investment with business benefits
This module introduces participants to more advanced Big Data solutions, focusing primarily on creating value from large volumes of data.
The IT infrastructure that is needed to apply Big Data analytics
The main advantages & disadvantages of multiple Big Data technologies
Data modelling and visualization
How to get business value from text data, web data, social network, audio and video data: moving towards customer centricity
State of the art in Fraud Analytics: improving Fraud detection using social network analysis
Hands-on exposure to tools that turn Big Data into value
Module 4 – Operationalising
(19, 20 & 21 February 2015; Brussels)
This module focuses on turning the insights gained from the previous modules into actions by adapting business processes, architecture and BI systems.
How to take advantage of high-velocity data
The organisational capabilities that are needed to successfully implement Big Data projects
How to put Big Data into action using decision-management solutions
Module 5 – Cultivating
(6, 7, 8, 9 & 10 April 2015; Silicon Valley, San Francisco)
This module investigates how management can optimally exploit the newly created Big Data benefits by cultivating data-driven decision-making in their organisation.
A deep dive into organisational strategies to cultivate Big Data innovations
How to optimally communicate Big Data projects
How to deal with ethics and privacy in a big data world
James Taylor– CEO of Decision Management Solution and leading expert in how to use business rules and analytic technology to build Decision Management Systems