Insurtech (a.k.a Digital Insurance) refers to the convergence of insurance + new technologies. In the field of Insurtech "digital insurers" apply technology innovations to their business and operating models in order to reduce costs, improve the customer experience and enhance the agility of their operations.

In this instructor-led training, participants will gain an understanding of the technologies, methods and mindset needed to bring about a digital transformation within their organizations and in the industry at large. The training is aimed at managers who need to gain a big picture understanding, break down the hype and jargon, and take the first steps in establishing an Insurtech strategy.

By the end of this training, participants will be able to:

• Discuss Insurtech and all its component parts intelligently and systematically
• Identify and demystify the role of each key technology within Insurtech.
• Draft a general strategy for implementing Insurtech within their organization

Audience

• Insurers
• Technologists within the insurance industry
• Insurance stakeholders
• Consultants and business analysts

Format of the course

• Part lecture, part discussion, exercises and case study group activities

In this instructor-led, live training in Finland, participants will gain an understanding of the technologies, methods and mindset needed to implement a Fintech strategy.

This training is aimed at managers who need to gain a "big picture" understanding of Fintech, break down the hype and jargon, and take tangible first steps towards the adoption of new technologies applicable to financial business and services.

By the end of this training, participants will be able to

• Present viable Fintech strategies for their organization.
• Understand and explain the role and functionality of key technologies.
• Draft an action plan for introducing new technologies in step-by-step fashion.

Prescriptive analytics is a branch of business analytics, together with descriptive and predictive analytics. It uses predictive models to suggest actions to take for optimal outcomes, relying on optimization and rules-based techniques as a basis for decision making.

In this instructor-led, live training, participants will learn how to use Matlab to carry out prescriptive analytics on a set of sample data.

By the end of this training, participants will be able to:

• Understand the key concepts and frameworks used in prescriptive analytics
• Use MATLAB and its toolboxes to acquire, clean and explore data
• Use rules-based techniques including inference engines, scorecards, and decision trees to make decisions based on different business scenarios
• Use Monte Carlo simulation to analyze uncertainties and ensure sound decision making
• Deploy predictive and prescriptive models to enterprise systems

Audience

• Business analysts
• Operations planners
• Functional managers
• BI (Business Intelligence) team members

Format of the course

• Part lecture, part discussion, exercises and heavy hands-on practice

Model Based Development (MBD) is a software development methodology that enables faster, more cost-effective development of dynamic systems such as control systems, signal processing and communication systems. It relies on graphic modeling rather than the traditional text based programming.

In this instructor-led, live training participants will learn how to apply MBD methodologies to reduce development costs and accelerate the time to market of their embedded software products.

By the end of this training, participants will be able to

• Select and utilize the right tools for implementing MBD.
• Use MBD to carry out rapid development in the early stages of their embedded software project.
• Shorten the release of their embedded software into the market.

Format of the course

• Part lecture, part discussion, exercises and heavy hands-on practice

This instructor-led, live training in Finland (online or onsite) is aimed at persons who wish to understand requirements analysis and conduct requirements analysis efficiently and accurately using analysis techniques for their projects.

By the end of this training, participants will be able to:

• identify different types of requirements.
• understand the overall concepts of, and activities within, requirements analysis.
• be familiar with the requirements analysis methodology.
• use different requirements analysis techniques to their advantage.
• structure requirements in order to communicate efficiently with architects and developers through an iterative requirement gathering process.

This course demonstrates through hands-on practice the fundamentals and applications of software engineering, requirements engineering and testing.

This course is created for people who will be responsible for executing process with Activity.

Activiti is an open-source workflow engine and Business Process Management (BPM) Platform for business people, developers and system admins.

Process mining, or Automated Business Process Discovery (ABPD), is a technique that applies algorithms to event logs for the purpose of analyzing business processes. Process mining goes beyond data storage and data analysis; it bridges data with processes and provides insights into the trends and patterns that affect process efficiency. 

Format of the Course

• The course starts with an overview of the most commonly used techniques for process mining. We discuss the various process discovery algorithms and tools used for discovering and modeling processes based on raw event data. Real-life case studies are examined and data sets are analyzed using the ProM open-source framework.

Business analysis is the process of examining, understanding, and defining business needs in order to develop solutions that meet those needs. Jest a key element in the process of managing changes in the organization and designing new business solutions. Business analysis aims to ensure that technological, process or organizational solutions meet business goals and needs. Jest a key element in ensuring the effectiveness of projects and changes in the organization, by ensuring that the solutions introduced are accurate, feasible and fully meet business requirements.

This course focuses on the business analyst role to be successful on Agile projects. Course participants will learn how to cooperate with the Team, Product Owner, Scrum Master as well as with the Customer to facilitate the development process. Participants will go through a mock project practising common scenarios.

Summary:

A business/systems analyst solves business problems by designing information systems which execute the strategy defined by the business. These IT solutions generally achieve one of the following goals for the business: implement a new business process, increase efficiency and productivity of existing business processes, or reduce operating costs of existing processes.

This course is intended for Business Analysts including those who may want to go on and prepare for an IIBA Certification (CCBA or CBAP) and is consistent with the framework outlined by the BABOK® Version 3.0

Objectives:

• Identify the critical principles, activities, tasks, and techniques outlined in the BABOK® V3.0
• Understand the core knowledge areas, activities, tasks, deliverables, and their relationships:

Key Definitions:

BABOK® (Business Analysis Body of Knowledge) Standard for practice of business analysis and serving as a framework describing the tasks that must be performed.

CCBA® (Certified of Competency in Business Analysis) A certification offered through the International Institute of Business Analysis (IIBA) requiring passing a test based on the BABOK® only after application approval which is based on education and experience.

CBAP®(Certified Business Analysis Professional) A certification offered through the International Institute of Business Analysis (IIBA) requiring passing a test based on the BABOK® only after application approval which is based on education and experience.

This course will show you how to:

• Perform key functions of the business analyst by applying a solid business analysis framework
• Conduct a business needs analysis to elicit stakeholder requirements
• Apply business analysis techniques to identify key problems and potential opportunities in your enterprise
• Create effective requirements and communication plans
• Analyse and specify requirements using industry best practices
• Manage solution assessment and validation

Audience:

Business consultants, Business analysts, Project Managers, IT professionals.

Participant Profiles 

CxO, Operation Managers, Enterprise Architects, Business and System Analysts and Designers

Objective

This introduction seminar provides you with an overview of the digital business models, business and enterprise architecture frameworks as well as methodologies that organizations are trying to focus on to increase their business agility facing disruptions of the digital age.

In particular, this seminar aims at helping you to understand frameworks and reference architectures that are used worldwide to align digital business models and IT system architectures with the changing competitive landscape.