Process Engineering (Digitalization, Big Data, and Transformation)
Paris
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Outcomes

By the end of this training course, trainees will be able to :
-    Identify key concepts of digital transformation.
-    Identify key digital initiatives and activities.
-    Develop new approaches to product and service development.
-    Design new approaches to business processes.
-    Develop new approaches to internal collaboration and communication.
-    Specify key emerging technologies (RPA, Chatbots, Digital Assets, AI/ML, Big Data, BlockChain, and Cloud Computing).
-    Discuss the business value and economic implications of Big Data & Analytics.
-    Describe the transformation process into a Data-Driven Enterprise.
-    List the most common Big Data & Analytics use cases in the banking industry.


Target Group

-    Professionals seeking to develop a powerful and resilient value-based strategy in addition to business processes and operations that assist organizations in achieving success in the new world of digital business
-    Managers targeting to apply and utilize effective tools and frameworks to effectively manage digital initiative and projects, allocate required resources, prioritize and evaluate initiatives and projects, and strengthen the organization’s competitive advantage
-    Consultants interested in offering effective recommendations related to the implementation of digital initiatives, assess and evaluate the applicability and the priority of various digital transformation projects, and direct the organization into a path of deployment that can maximize the probability of success


Contents

-    The basics of digital transformation.
-    Digital transformation - definition and core concepts.
-    Processes and methods - design thinking for banking.
-    Overview of emerging technologies and its applications in the banking industry:
-    Transformative business applications – robotics process automation (RPA).
-    Chatbots and digital assistants.
-    Digital assets.
-    Artificial Intelligence & Machine Learning.
-    Big Data.
-    Cloud technologies.
-    BlockChain technologies.
-    Innovation & digital transformation (how digital technologies and business models are radically changing competitive dynamics across industries?)
-    From Literacy to transformation - building digital competence.
-    Changes in culture and leadership style - the digital DNA.
-    Digital transformation and business agility.
-    Managing digitalization projects.
-    Overview of Big Data and Analytics as a business innovation .
-    Why Big Data & Analytics are so critical for today’s business: the business value and economic implications of Big Data & Analytics.
-    Transforming your business from a traditional one into a Data-Driven business.
-    The three vectors of Big Data & Analytics: Big Data sources, Big Data capability, and Big Data community.
-    Types of business analytics and their business value.
-    Big Data use cases in the banking industry – case studies.


Type of Traning

Short Course

Training Activity Rate
Trainer/s
Mutaz AlDebei
Training activity Hours
12
Training activity Date
23/01/2023 - 26/01/2023
Training Activity Days
Mon- Tue- Wed- Thu
Start and End Time
17:00 - 20:00
Break Time
18:20 - 18:40
Training Activity Classification
Digitization and Recent Development
Language
English
Methodology
In class
Location
5
City
Amman
Deadline for registration
23/01/2023
Price For Jordanian
96 JOD
Price For Non Jordanian
240 US$

* Will be given discounts for groups