A Pragmatist's Guide to Structuring IT Asset Data
At the core of every task is relevant data. To effectively plan, execute and report on critical business activities you need quick and effective access to the right key facts.By: Scott Parkin, LANDesk ITSM Product Manager This is a challenge for any business manager, but is especially difficult for IT asset managers in companies where key asset data is spread across multiple applications, departments, disciplines and sources. The IT asset manager needs to aggregate, analyze and act on data from Purchasing, Finance, IT, Service Desk, Facilities, Security, Operations, Human Resources and others, and may be pulling data from spreadsheets, expert financial systems, word processing documents, PDFs, drawing or modeling tools, and even handwritten notes.
That's a vast and complex stew of data, and attempting to order that data is a daunting task. The key is to start with a few key facts for each asset and to work forward from there, expanding as needed from a strong foundation.
- Track initial acquisition costs, including asset purchase, required peripheral or supporting devices, operating system and software (as needed), and service contracts. Most of this data will come from purchase orders; some will need to be calculated as a pro-rata share of a bulk purchase or license agreement. For new purchases, update your purchasing process to include calculating and tracking this data in your asset record; for existing assets you will need to create a project to go back and aggregate/calculate this information and add it to your asset records.
- Track ongoing maintenance costs, including annual service contracts, upgrade or replacement parts and the costs associated with Service Desk incidents for each device. Ideally, this information is collected at the time of purchase or service and is immediately attached to the asset's service history record as a function of your established process. You should update your Incident management process to support this, whether you update the asset record manually or through automated technology. This can be the single most daunting task in the mix; extracting and aggregating historical data for existing assets is a gargantuan task. Many organizations choose to simply start tracking this data as of a specific date and leave existing data unstructured. This is a good method for those organizations that are resource-constrained and willing to wait for highly qualified data.
- Identify replacement costs for hardware, software and infrastructure elements. Remember to include both disposal costs for existing assets and install/deployment costs for new assets. For commodity items such as end-user hardware (desktop, laptop) and software, these costs should be predictable within a range and will tend to be updated once a year as new contracts are negotiated. For high-impact or high-value items, the cost of purchase may only be a small part of the total costs, and those costs may be difficult to estimate. This data is intended for planning purposes and should be reviewed at the time of planning, so supply a best estimate with supporting documentation to be used as a starting point for further research, not as an authoritative declaration. The key benefit here is being able to quickly view approximate costs for individual assets, to aggregate that data by department or cost center and to use that data in research and planning efforts. These key costs are supplemental to the detailed cost accounting performed by the Finance team, and are intended to inform purchase, resource and budget planning-not to provide detailed cost data to financial auditors. Understanding this intended use for IT asset cost data will help you reduce the complexity of your asset repository and keep expectations clear. Ownership-whose books carry the costs; usually a department or cost center as opposed to an individual or a signing manager. For shared or infrastructure assets there may be more than one owner, with a percentage of ownership assigned to different departments. The primary goal for this ownership data is to enable simple accountability for an asset's use in providing value to the organization, to support approvals and decision-making processes and to enable simple cost aggregation for planning and budgeting purposes. In conjunction with Accountability data, Ownership enables IT asset managers to support both compliance audit and strategic planning efforts by providing easy lookup of the high-level group an asset belongs to. This also supports internal change control and provides insight for change advisory board membership for critical IT assets.