Analytical information management

Basic knowledge of the IT product life cycle.
Knowledge of nomenclature used in software development and IT project implementation.
Recommended experience in at least 1 IT project.

Level
2

Addressed to
System and business analysts, product owners, business owners.
Software and system engineers.
People in management positions, analytical team leaders, people responsible for ensuring the quality of software development processes, especially in the area of business and system analysis.

Goals
Learn the benefits of effective analytical information management in a project. 
Acquire skills in building an information management framework - from stakeholder definition to developing the content of necessary work products and defining the relationships between them, as well as between analytical artifacts and other project work products.

Advantages
Training provided by an expert with several years of experience in the IT industry and extensive knowledge of IT processes.
Emphasis on practice - the necessary theory is supported by project practice, the topics discussed are related to real project situations.
Training delivered using tools used in requirements engineering, which provides an opportunity to learn the basic functionalities of such tools. 
Possibility to apply the acquired knowledge already during the training. 
As a result of the training, the participant develops a framework for managing analytical information (definition of work products, relationships, content), which they can use as a template or guideline for their professional tasks.

Introduction 

• What is information? What is information management?
• The role of communication in information management.

Identification of information in a project

• Project objectives versus the information being processed.
• Stakeholder analysis
• Acquisition of information needs.
• Information risk analysis.

Information management plan.

• Identification of work products.
• Determination of required content of work products.
• Relationships and constraints. 
• Creating an artifact structure - the role of traceability in information management.

Implementation of the information management plan

• Piloting as a method of testing a new approach. 
• Teamwork - the role of feedback and lessons learned.
• Standardization - scaling the approach to the entire organization.

Summary

• Workshop summary. 
• Best practices and key elements of the information management process.