For asset-intensive industries such as the resources and energy sectors, managing their technology asset's lifecycle is a huge job. Despite the economic value of IT and OT assets to the business, teams are often time-poor and assign a low priority, or inadequate resources to asset planning, redundancy, ongoing maintenance, upgrades, or asset forecasting.
Our global mining client sought a more robust, structured approach to their asset lifecycle management and elected to use one of their sites as a prototype to establish a Technology Asset Roadmap strategy before rolling out to other sites.
Our client’s IT and OT asset lifecycle records across the organisation were disparate with no overarching process control, resulting in incomplete and often unreliable data. Additionally, future planning for end of life devices was difficult as disparate and incomplete asset registers gave little insight into the processes required for forecasting, budgeting, and project portfolio analysis. This situation is not unfamiliar to miners, whose work typically covers large geographical work locations that incorporate an array of IT and OT assets and a range of stakeholders with varying functional needs.
At this site, our client’s OT asset areas included PCN and wireless, underground radio, microwave and radio frequency equipment, UPS and facilities. The IT areas included end-user computing, networking (including routing, switching and firewalls), hosting environments and unified communications.
The consequence of the disparate and segmented asset management approach meant that few stakeholders had the asset information they needed to make the decisions that they needed to make. Meaning, they were unable to determine when assets were reaching end of life or were out of warranty, schedule replacements, understand the reliability of vendors or the assets themselves and unable to produce a 3-year plan and budget for asset replacements and projects.
“With inconsistent data in multiple locations being accessed by a wide range of groups and individuals, they could not make decisions based on priorities and value. Meaning, they could not plan or cost activities for the following year or beyond. Planning and predictive maintenance was well and truly on the back foot.” Sally Livingstone, Senior Project Manager and Business Analyst, Denver.
The client wanted to be able to:
After discussions with the client, Denver provided an approach and outlined activities to address the issues:
Part 1 – Data Discovery
Configure the existing ServiceNow Discovery Tool in the Spike environment to discover lost assets on the client’s network and to automatically create Asset and CI records in the existing ServiceNow platform.
Part 2 – Asset Data Enrichment
Configure and integrate the product Warranty Master to retrieve warranty information from vendors using the Serial # of assets in ServiceNow, automatically populating the existing asset records.
Part 3 – Future State Processes
The delivery of a suite of asset lifecycle management ServiceNow processes to outline the best practice for preserving quality asset records.
Working in sprints, we identified early on that the lack of centralisation meant the ServiceNow platform (notionally implemented for IT and OT asset lifecycle management across the organisation) was not being used to its full potential. “We are already proposing that platforms like ServiceNow are used to their full potential,” says Livingstone. “At present, for example, there are few mandatory fields and no prompts to users to fill in the remainder."
“We propose to review what the operator has, configure the system properly and propose future processes and responsibilities for filling in the required fields. We would then undertake the rollout and ask the operator to fill in the system with what data it has.” Denver will then look to locate what missing data it can and fill in any gaps.
Working with the client, we reviewed its approach to asset lifecycle management to clearly identify the problem- understand their systems and assets, identify gaps to capture and clean data, train people in creating and managing assets in systems and establishing success criteria.
Following the Technology Asset Roadmap structure delivers better control, including management, maintenance, spend, decision-making and planning. Benefits include increased uptake of the existing systems to help them realise the benefits of their existing ServiceNow investment and better manage assets by internal team members, improved data quality and fewer gaps. With a documented review of current IT and OT asset management processes, data and solutions the client can plan for end of life devices, asset redundancy and forecasting requirements and maintain data-centricity and longevity and covers:
“The follow-on from better data quality is better IT & OT asset lifecycle management, so those assets do not fall out of support and warranty. This improves support and lowers costs over time, because when you manage IT & OT asset lifecycle properly, you can budget more effectively. “ Adam Soudure, Head of Enterprise Services, Denver.
Digital Maturity Assessment
Knowing where your organisation is on the digital transformation journey will let you set the goals you need to execute on your strategy, stay competitive and grow.Learn more ›
Maintenance Challenges Facing Asset Intensive Industries
Optimising maintenance is critical for organisations in asset-intensive sectors such as Oil & Gas and Mining. Failure to implement a balanced, optimal maintenance regime can increase an organisation’s costs, interrupt production and compromise its reputation. However, organisations face a range of challenges implementing such a regime.Learn more ›
Data as an Asset: A Denver Resource & Energy Insight
What role does data play in digital execution? In this video insight, Simon Charewicz, Head of Digital Execution at Denver talks about the importance of the "data asset" – what it looks like, the quality, integrity and the integration between systems – and why it is crucial to execute digital strategy. Because without data asset knowledge, and getting the underlying data asset "right", innovation and digital transformation will not succeed.Learn more ›