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CMDB/CMS Use Cases: Asset Management and Financial Optimization

Asset Management is often the fastest use case to deploy for an initial phase CMDB/CMS because, as one vendor put it, “It’s the most linear use case” and generally speaking the least time sensitive. As a result it’s probably the most popular initial use case for CMDB/CMS initiatives -- which doesn’t mean it’s necessarily the right first phase deployment for you. You should start where your needs, and your readiness, combine to give you greatest value –- which could be any one of the three here.

Some specific use cases for asset management include:

Asset and Inventory Analysis: This most often comes up in broadly based asset management initiatives, but it is also relevant to the other use cases – and ALWAYS a challenge.

Asset Lifecycle Management: This includes SLAs, maintenance windows, and service contracts, and is central to managing assets effectively across their lifecycles. Strong support for SW license management is also important. This is often achieved through separate but well integrated solutions –- including third-party solutions.

Compliance Audits: These can now be far more effectively automated and structured based on consistent policies once assets are mapped into a CMDB/CMS system.

Financial Optimization: This is essentially optimizing your IT mission from a dollars-and-cents perspective. CMDB/CMS-driven asset and service management initiatives lay the core foundation for capturing and analyzing cost and value metrics in a substantive and contextually consistent way.


Figure 2: The darker the color, the more central the capability is to the use case. As you can see, the core CMDB, asset management and configuration management are all in black. Next in line are application dependency mapping, capacity, usage and optimization, and application development (as new application services can also be viewed as assets and relevant to asset planning and financial optimization).

EMA had four categories for assessing vendors in its radar: Value Leader, Strong Value, Specific Value, and Limited Value –- from highest to lowest. The value leaders from the radar in Asset Management and Financial Optimization were:

ASG

ASG is arguably the most platform-like of all the vendors in the radar in terms of breadth of capability and function, ASG was one of four Value Leaders in Asset Management where it received the highest overall score of any vendor. Relevant to this, ASG-Trackbird for asset management also received a Value Leader ranking in EMA’s May, 2011 radar on Software Asset Management. ASG offers a CMDB design that’s matured to focus on real needs and use cases -- with an exceptional ability to take in third-party information from a wide variety of sources.

iET Solutions

iET Solutions received especially high ratings in Cost Advantage but clear dominance in all function-related and cost-related vectors. The company’s strengths come in part from well thought out process flows to support asset lifecycle management along with its solid integration capabilities for third-party sources. It was really a balanced solution -- and offered the only deployment where the CMDB was working across a fully third-party management landscape.

LANDesk

LANDesk Service Desk Suite excelled across all areas for Asset Management and scored a first place total score (closely followed by ASG) across all eleven vendors for Asset Management and Financial Optimization. LANDesk’s Service Desk Suite is enhanced by integrations with its own Asset Lifecycle Manager which was one of the Value Leaders in EMA’s Software Asset Management Radar from May, 2011.

ServiceNow

ServiceNow's CMDB outperformed the vendor average in all areas -- with especially strong support for Integration and Interoperability and top-ranked scores for automation in Functionality. ServiceNow’s capabilities to assimilate relevant third-party sources, map them via strong discovery and inventory, and set up process automation for lifecycle control are all impressive. As you may know, ServiceNow also shook the industry by successfully establishing the SaaS model in this space –- and it continues to grow at a dramatic pace.

Click here to read the CMDB/CMS use cases for Change Management and Change Impact Analysis

Click here to read the CMDB/CMS use cases for Service Impact Management

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CMDB/CMS Use Cases: Asset Management and Financial Optimization

Asset Management is often the fastest use case to deploy for an initial phase CMDB/CMS because, as one vendor put it, “It’s the most linear use case” and generally speaking the least time sensitive. As a result it’s probably the most popular initial use case for CMDB/CMS initiatives -- which doesn’t mean it’s necessarily the right first phase deployment for you. You should start where your needs, and your readiness, combine to give you greatest value –- which could be any one of the three here.

Some specific use cases for asset management include:

Asset and Inventory Analysis: This most often comes up in broadly based asset management initiatives, but it is also relevant to the other use cases – and ALWAYS a challenge.

Asset Lifecycle Management: This includes SLAs, maintenance windows, and service contracts, and is central to managing assets effectively across their lifecycles. Strong support for SW license management is also important. This is often achieved through separate but well integrated solutions –- including third-party solutions.

Compliance Audits: These can now be far more effectively automated and structured based on consistent policies once assets are mapped into a CMDB/CMS system.

Financial Optimization: This is essentially optimizing your IT mission from a dollars-and-cents perspective. CMDB/CMS-driven asset and service management initiatives lay the core foundation for capturing and analyzing cost and value metrics in a substantive and contextually consistent way.


Figure 2: The darker the color, the more central the capability is to the use case. As you can see, the core CMDB, asset management and configuration management are all in black. Next in line are application dependency mapping, capacity, usage and optimization, and application development (as new application services can also be viewed as assets and relevant to asset planning and financial optimization).

EMA had four categories for assessing vendors in its radar: Value Leader, Strong Value, Specific Value, and Limited Value –- from highest to lowest. The value leaders from the radar in Asset Management and Financial Optimization were:

ASG

ASG is arguably the most platform-like of all the vendors in the radar in terms of breadth of capability and function, ASG was one of four Value Leaders in Asset Management where it received the highest overall score of any vendor. Relevant to this, ASG-Trackbird for asset management also received a Value Leader ranking in EMA’s May, 2011 radar on Software Asset Management. ASG offers a CMDB design that’s matured to focus on real needs and use cases -- with an exceptional ability to take in third-party information from a wide variety of sources.

iET Solutions

iET Solutions received especially high ratings in Cost Advantage but clear dominance in all function-related and cost-related vectors. The company’s strengths come in part from well thought out process flows to support asset lifecycle management along with its solid integration capabilities for third-party sources. It was really a balanced solution -- and offered the only deployment where the CMDB was working across a fully third-party management landscape.

LANDesk

LANDesk Service Desk Suite excelled across all areas for Asset Management and scored a first place total score (closely followed by ASG) across all eleven vendors for Asset Management and Financial Optimization. LANDesk’s Service Desk Suite is enhanced by integrations with its own Asset Lifecycle Manager which was one of the Value Leaders in EMA’s Software Asset Management Radar from May, 2011.

ServiceNow

ServiceNow's CMDB outperformed the vendor average in all areas -- with especially strong support for Integration and Interoperability and top-ranked scores for automation in Functionality. ServiceNow’s capabilities to assimilate relevant third-party sources, map them via strong discovery and inventory, and set up process automation for lifecycle control are all impressive. As you may know, ServiceNow also shook the industry by successfully establishing the SaaS model in this space –- and it continues to grow at a dramatic pace.

Click here to read the CMDB/CMS use cases for Change Management and Change Impact Analysis

Click here to read the CMDB/CMS use cases for Service Impact Management

Hot Topics

The Latest

As businesses increasingly rely on high-performance applications to deliver seamless user experiences, the demand for fast, reliable, and scalable data storage systems has never been greater. Redis — an open-source, in-memory data structure store — has emerged as a popular choice for use cases ranging from caching to real-time analytics. But with great performance comes the need for vigilant monitoring ...

Kubernetes was not initially designed with AI's vast resource variability in mind, and the rapid rise of AI has exposed Kubernetes limitations, particularly when it comes to cost and resource efficiency. Indeed, AI workloads differ from traditional applications in that they require a staggering amount and variety of compute resources, and their consumption is far less consistent than traditional workloads ... Considering the speed of AI innovation, teams cannot afford to be bogged down by these constant infrastructure concerns. A solution is needed ...

AI is the catalyst for significant investment in data teams as enterprises require higher-quality data to power their AI applications, according to the State of Analytics Engineering Report from dbt Labs ...

Misaligned architecture can lead to business consequences, with 93% of respondents reporting negative outcomes such as service disruptions, high operational costs and security challenges ...

A Gartner analyst recently suggested that GenAI tools could create 25% time savings for network operational teams. Where might these time savings come from? How are GenAI tools helping NetOps teams today, and what other tasks might they take on in the future as models continue improving? In general, these savings come from automating or streamlining manual NetOps tasks ...

IT and line-of-business teams are increasingly aligned in their efforts to close the data gap and drive greater collaboration to alleviate IT bottlenecks and offload growing demands on IT teams, according to The 2025 Automation Benchmark Report: Insights from IT Leaders on Enterprise Automation & the Future of AI-Driven Businesses from Jitterbit ...

A large majority (86%) of data management and AI decision makers cite protecting data privacy as a top concern, with 76% of respondents citing ROI on data privacy and AI initiatives across their organization, according to a new Harris Poll from Collibra ...

According to Gartner, Inc. the following six trends will shape the future of cloud over the next four years, ultimately resulting in new ways of working that are digital in nature and transformative in impact ...

2020 was the equivalent of a wedding with a top-shelf open bar. As businesses scrambled to adjust to remote work, digital transformation accelerated at breakneck speed. New software categories emerged overnight. Tech stacks ballooned with all sorts of SaaS apps solving ALL the problems — often with little oversight or long-term integration planning, and yes frequently a lot of duplicated functionality ... But now the music's faded. The lights are on. Everyone from the CIO to the CFO is checking the bill. Welcome to the Great SaaS Hangover ...

Regardless of OpenShift being a scalable and flexible software, it can be a pain to monitor since complete visibility into the underlying operations is not guaranteed ... To effectively monitor an OpenShift environment, IT administrators should focus on these five key elements and their associated metrics ...