Portfolio, Programme & Project Management (PPM)

A collective term used for a series of guides aimed at improving the performance of those involved in portfolio, programme and project management. PPM is the accepted term in the industry and covers portfolio as well as programme and project management.

Portfolio Management concerns the twin issues of how to do the ‘right’ programmes and projects in the context of the organization’s strategic objectives, and how to do them ‘correctly’ in terms of achieving delivery and benefits at a collective level.

Programme Management is the action of carrying out the coordinated organization, direction and implementation of a dossier of projects and transformation activities to achieve outcomes and realize benefits of strategic importance to the business.

Project Management is the planning, delegating, monitoring and control of all aspects of a project (a temporary organization with the purpose of delivering specific results).

AgileBA® (Agile Business Analyst)

AgileLearn®

AgilePM®

AgileSHIFT®

Association for Project Management (APM)

MoP®

MoV®

MSP®

P3O®

PMI®

Praxis Framework™

PRINCE2 Agile®

PRINCE2®

Programme and Project Sponsorship

SCRUM

IT Governance & Service Management

IT governance is a subset discipline of corporate governance, focused on information and technology (IT) and its performance and risk management. The interest in IT governance is due to the ongoing need within organizations to focus value creation efforts on an organization's strategic objectives and to better manage the performance of those responsible for creating this value in the best interest of all stakeholders.

IT service management (ITSM) refers to the entirety of activities – directed by policies, organized and structured in processes and supporting procedures – aimed at the delivery of IT services that meet customers' needs, and it is performed by the IT service provider through an appropriate mix of people, process and information technology.

ArchiMate®

COBIT® (COBIT® 5)

COBIT® 2019

DevOps

ISO/IEC 20000

IT4IT™

ITIL® 4

ITIL® v3

ITSM roles

Lean IT

Software Testing

TOGAF® 9

VeriSM™

Change, Risk & Resilience

Change Management refers to any approach to transitioning individuals, teams, and organizations using methods intended to re-direct the use of resources, business process, budget allocations, or other modes of operation that significantly reshape a company or organization.

Risk Management is the identification, assessment, and prioritization of risks followed by coordinated and economical application of resources to minimize, monitor, and control the probability and/or impact of unfortunate events or to maximize the realization of opportunities. Risk management’s objective is to assure uncertainty does not deflect the endeavor from the business goals.

Change Management

EXIN Business Continuity Management

M_o_R®

Organisational resilience

Business Improvement & Compliance

In this domain we include all the practices which can effectively contribute to the improvement of how the business is managed so, ultimately, to the business results.

Better Business Cases™

BPMN 2.0

Business Analysis

EXIN Green IT

Lean Six Sigma

Managing Benefits™

Privacy, Data Protection & GDPR

Six Sigma

Information & Cyber Security

Cyber Security is the protection of computer systems from the theft or damage to the hardware, software or the information on them, as well as from disruption or misdirection of the services they provide.

Cyber Resilience is an evolving perspective that is rapidly gaining recognition. The concept essentially brings the areas of information security, business continuity and (organizational) resilience together.

Certified Information Systems Security Professional (CISSP)

CISA®

CISM®

Cyber and IT Security

Dark Web

Ethical Hacking

ISO/IEC 27001

Big Data, Data Science and Artificial Intelligence

Big Data refers to humongous volumes of data that cannot be processed effectively with the traditional applications that exist. The processing of Big Data begins with the raw data that isn’t aggregated and is most often impossible to store in the memory of a single computer.

Data science is a concept used to tackle big data and includes data cleansing, preparation, and analysis. A data scientist gathers data from multiple sources and applies machine learning, predictive analytics, and sentiment analysis to extract critical information from the collected data sets. They understand data from a business point of view and can provide accurate predictions and insights that can be used to power critical business decisions.

Artificial intelligence (AI) is intelligence demonstrated by machines, making it possible for them to learn from experience and perform human-like tasks. The majority of modern AI examples rely on deep learning and natural language processing, and these technologies enable computers to process large quantities of data and recognise patterns within that data to complete specific tasks and activities.

Artificial Intelligence (AI)

Big Data and Data Science

Cloud Computing, Blockchain and Internet of Things

Cloud computing involves delivering different types of services over the internet. It can be anything and includes accessing and storing programs and data, security solutions, analytics, and various other functions.

Blockchain is a list of records called blocks that store data publicly and in chronological order. The information is encrypted using cryptography to ensure that the privacy of the user is not compromised and data cannot be altered.

The Internet of Things is a continuously-growing network of objects and devices that feature ports for internet connectivity and possess an IT address. The IoT, as it’s known, links these devices together, and facilitates transmission of data between these devices. The IoT environment allows people to transmit data over a network with the help of unique identifiers without any human to human contact or human to computer interaction.

Blockchain

Cloud Computing

Internet Of Things (IoT)

Software Development and IT Infrastructure Management

Software development is the process of conceiving, specifying, designing, programming, documenting, testing, and bug fixing involved in creating and maintaining applications, frameworks, or other software components.

IT Infrastructure Management refers to the entirety of activities that revolve around Information Technology (IT) components that are the foundation of an IT service.

Applications Development

IT Infrastructure & Configuration Management

Mobile Development

Business Skills

Business Relationship Management (BRM®)

Finance for non-Financial Managers

Microsoft Introduction to MS Project