Analytics Information architecture is covers both the design and practice of integrated business analytics and information management (AIM) environment.
AAIA Certification has been developed for:
- Analytics, Information and Data Architects
- Data Analysts, Engineers, Scientists and Stewards
- Directors and Head of Departments
- Strategists, Policy and Law Expert.
This 4-day hands-on workshop provides an interactive forum to learn and apply a model-driven applied adaptive AIM architecture modelling and and strategic planning. The course involves:
- Motivation model (outcomes: business goals and objectives)
- Exploratory model (discovery, visualisation)
- Descriptive model (summaries)
- Inferential model (generalisation and conclusions)
- Predictive model (regression)
- Decision model (prescriptive business rules and decisions
- Action model (business processes, activities and tasks)
- Relational entity and non-relational information models (metadata, master data, reference data and transactional data)
- Information integration and transformation models (ensemble data vault, data virtualisation and dimensional)
- Information governance and quality
Analytics is useful for its potential to discover insights from quality information that be actioned for effective and less risky decision making. Efficiency and the desired outcomes flow on these insights.
Information management, including information quality and governance, focuses on collecting and integrating information (e.g. content, data and media) from different sources and making it ready for analytics. Adaptive analytics information architecture is an integral part of the overall adaptive enterprise architecture, and critical to digital transformation.
What you should expect
Participants will work on a model-driven adaptive analytics information architecture project from beginning to end over 4-days. Dr Gill works in an interactive format combining case study examples and exercises. To be successful you should:
- have basic awareness about analytics and information management.
- be familiar with ArchiMate 3.0, SQL Server and Power BI.
- develop competence in workshop exercises and final architecture project showcase.
Adaptive Analytics Information Architect Certification
This successful completion of this course leads to Adaptive Analytics Information Architect Certification. To qualify participants must attend the entire workshop and demonstrate competence in exercises associated with each of the 8 Modules included in the course.
All modules and participation in the architecture project showcase for must be completed to attain Adaptive Information Architect certification.
AAIM Certification Modules
Module 1: Adaptive Thinking
Module 2: Adaptive AIM Architecture
Module 3: Identify Initiative
Module 4: Initiate
Module 5: Discover
Module 6: Implement
Module 7: Adapt
Module 8: Govern
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Book Review: Adaptive Cloud Architecture
By Dr Asif Gill
” We are starting to notice the transformative nature of cloud and digital business impacting both the supply side and demand side of the IT services marketplace…
The Gill Framework® addresses this emerging niche with the ‘Adaptive Enterprise Services System’ (AESS), a systems-of-systems framework. What sets the AESS framework apart from others is the practical application of the Adapting, Defining, Operating, Managing, Supporting (ADOMS) life-cycle management approach. Adapting to change, as a result of pressures of digital business and cloud, requires a new response with new capabilities around agile. This book is a body of knowledge which is a must have handbook for adaptive business and IT thinkers and leaders.”
Dr Pedro Harris
Executive Director, ICT Strategic Delivery
Department of Treasury, Office of Finance and Services, NSW