Workshop Overview 

This full-day, hands-on workshop is a deep dive into your organization’s approach to managing data for asset management decisions. 

So many organizations are collecting and managing huge datasets, to improve asset management maturity. Many find themselves ‘data rich’ and yet still ‘poor’ in terms of meaningful insights and inputs into decision-making. Many have infrastructure status reports and asset plans leveraging different information than from operations, and decisions leveraging different information than used in the plans. Many also find themselves implementing technology systems and new capabilities, while encountering the same challenges of fragmented datasets, unclear data usage and siloed technology ecosystems. Meanwhile, decision makers are facing increased pressure and scrutiny, escalating costs and increased risks necessitating a more streamlined and transparent approach to evidence-informed decisions. Overall, trust in the information needs to be bolstered. 

This workshop seeks to help participants take a strategic, holistic approach to the governance and management of critical data, including both asset data and other key inputs required for decision-making. Choose-your-own adventure exercises will be focused on a particular service area/asset class or a context that fits your unique organizational and role requirements. Examples used in the session will leverage real, anonymized data and technology situations. 

The workshop will follow the thread throughout the day, tying the specific asset decisions that need to be made, back to the data to be captured, collected, managed and leveraged, and finally to the people, processes, governance and culture that serve as the foundation for a sustainable asset management program and long-term operational excellence. 

Core Learning Objectives 

Participants will leave the session with the ability to: 

• Pinpoint the primary, critical decision points in their asset management programmes. 

• Evaluate the current information landscape and asset data model, and identify gaps and opportunities with respect to their asset mangement data strategy and maturity. 

• Gain a basic understanding of data governance, including its key elements, roles and responsibilities. 

• Define a preliminary data strategy, including specific objectives and an improvement roadmap, mapping the people, process, governance and culture requirements. 

• Plan a prioritized data collection and data maintenance strategy that aligns limited resources with highest benefit and eliminates data for data’s sake. 

• Socialize key concepts and demonstrate basic data management needs to other stakeholders in their organization. 

• Establish a base foundation for more advanced initiatives, such as decision frameworks, optimized decision support, and implementation of EAM tools and other technology systems. 

Workshop Agenda 

Module 1: Foundations 

• Introductions and icebreaker on workshop objectives and expectations. 

• Context and drivers for this work. 

• Theory: Level-setting key concepts and tools for improving decision and data literacy, including decision frameworks, the asset management value chain, asset data model, data governance, mapping the asset and data life cycle, and the data/knowledge hierarchy. 

• Discussion: Your decision making and information challenges. 

• Exercise: Identifying your asset management decision(s) and selecting your case study. 

Module 2: Discovery 

• Exercise: Mapping the asset management value chain from decisions through to data, and the needs of different stakeholders. 

• Theory: Decision-making and asset management governance identifying the mechanisms and criteria for good decisions. 

• Theory: Understanding your asset information and technology landscape. 

• Exercise: Master data maturity and data governance maturity models: where does my organization sit? 

Module 3: Definition 

• Discussion: The ‘so what’ of assessing our current state: how do we move forward? 

• Theory: Overview of key contents of an asset data model. 

• Exercise: Evaluation of your current asset data model against your decisions and organizational goals. 

• Discussion: Shared challenges, unique solutions. 

Module 4: Direction 

• Theory: Key elements of a data strategy. 

• Exercise: Defining your preliminary data strategy objectives and improvements. 

• Discussion: Implications for data capture, collection and data maintenance activities. 

• Exercise: Beyond the data: what governance, process, culture/people, technology and other changes are required to bring the vision to fruition? 

• Discussion/Exercise: Prioritizing your improvement objectives and activities. 

Module 5: Diffusion & Implementation 

• Discussion: Where next? 

• Theory: Communicating and socializing your approach to decision-making, data/information. 

• Theory: Measuring success and realizing benefits. 

• Discussion: Post-foundational work: how will this enable future work? 

Session Close 

• Outstanding expectations, objectives and questions. 

• Parking lot items. 

• Closing remarks and feedback session. 

Take Aways 

• Mapping decisions to required data. 

• Defining and populating your asset data model as a foundation. 

• Intentional approach to data and information strategy that is responsive to your organizational objectives and needs. 

Workshop Outcomes 

• Identification of current state gaps, challenges, opportunities and priorities. 

• Clear understanding of decision-making and governance nuances specific to delegate’s organizations. 

• Path forward to informing asset decisions. 

Workshop Tickets 

Workshop ticket prices are listed below.  Places are strictly limited.

To avoid disappointment, book your ticket today.  

If you want to claim gov/public rate, please contact Events@theIAM.org 

The prices are shown below: