Digital Transformation Asset Management

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Transformation Network

By pwsadmin | May 15, 2021

The Achilles heel of every transformative business model is their reliance on ever increasing amounts of data that need to be transported quickly across wide area networks and processed at…

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Essential Characteristics of Cloud Computing as Digital Transformation

By pwsadmin | May 15, 2021

Hybrid IT blends traditional datacenters, managed service providers, and cloud service providers to deliver the necessary mix of information technology services. This IT consumption model enables a composable infrastructure which…

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Transformation Innovation

By pwsadmin | May 15, 2021

4 Factors Driving Digital Transformation ROI The critical assessment factors for cloud ROI risk probability are the following:      Infrastructure utilization Speed of migration to cloud Ability to scale business/mission processes…

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Transformation Frameworks

By pwsadmin | May 15, 2021

Digital transformation necessitates changes in an organization’s operational processes. According to Harvard, a focus on operations can lead to business process optimization and entirely new revenue streams. Three common routes…

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Transformation Infrastructure

By pwsadmin | September 26, 2020

Hybrid IT enables a composable infrastructure which describes a framework whose physical compute, storage, and network fabric resources are treated as services. Resources are logically pooled so that administrators need…

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Essential Characteristics of Cloud Computing as Digital Transformation

By pwsadmin | September 25, 2020

A survey of 2,000 executives conducted by Cognizant in 2016 identified the top five ways digital transformations generate value:      Accelerating speed to market      Strengthening competitive positioning      Boosting revenue growth      Raising…

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Embrace Transformation

By pwsadmin | September 22, 2020

From a business perspective, differentiating business processes and quality customer service are central to overall success. Business leaders must therefore clearly identify and measure how information technology contributes to the…

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Computer Vision Advances Zero-Defect Manufacturing

By pwsadmin | July 25, 2020

by Kevin L. Jackson Electronics manufacturers operate in a challenging environment. It’s hard enough to keep up with the ever-accelerating rate of change in the industry. Now customers want increasingly…

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Real-Time Analytics Power the Roadway of the Future

By pwsadmin | July 25, 2020

By Kevin L. Jackson The complexities of citywide traffic are pushing the limits of existing transportation management systems. Outdated infrastructure is based on proprietary, single-purpose subsystems, making it costly to…

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Thriving on the Edge: Developing CSP Edge Computing Strategy

By pwsadmin | March 6, 2020

Communications Service Providers (CSPs) are facing significant business model challenges. Referred to generally as edge computing, the possibilities introduced by the blending of 5G networks and distributed cloud computing technologies are…

Today’s businesses run in the virtual world. From virtual machines to chatbots to Bitcoin, physical has become last century’s modus operandi.  Dealing with this type of change in business even has its own buzzword – Digital Transformation.  From an information technology operations point of view, this has been manifested by organizations increasingly placing applications, virtual servers, storage platforms, networks, managed services and other assets in multiple cloud environments.  Managing these virtual assets can be much more challenging than it was with traditional physical assets in your data center.  Cost management and control are also vastly different than the physical asset equivalent.  Challenges abound around tracking and evaluating cloud investments, managing their costs and increasing their efficiency.  Managers need to track cloud spending and usage, compare costs with budgets and obtain actionable insights that help set appropriate governance policies.

The cloud computing operational expenditure (OPEX) model demands a holistic management approach capable of monitoring and taking action across a heterogeneous environment.  This situation is bound to contain cloud services from multiple vendors and managed service providers.  Enterprises also need to manage services from a consumption point of view. This viewpoint looks at the service from the particular application down to the specific IT service resources involved, such as storage or a database. Key goals enterprises need to strive for to be successful in this new model include:

 

  • Obtaining ongoing visibility into true-life cloud inventory;
  • Viewing current and projected costs versus industry benchmarks;
  • Establishing and enforcing governance control points using financial and technical policies;
  • Receiving and proactively responding to cloud cost and operational variances and deviations;
  • Gaining operational advantages through advanced analytics and cognitive computing capabilities;
  • Simulating changes to inventory, spend goals and operational priorities before committing;
  • Managing policies through asset tagging across providers and provider services; and
  • Identifying and notifying senior managers about waste and opportunities for cost savings.

Accomplishing these goals across a hybrid IT environment will also require timely, accurate and consistent information delivery to the organizations, CIO, CFO, IT Financial Controller and IT Infrastructure and Operations Managers.  Ideally, this information would be delivered via a “single pane of glass” dashboard.

One path towards gaining these capabilities would be through the use of a cloud services brokerage
platform like IBM® Cloud Brokerage Managed Services – Cost and Asset Management. This “plug and play” service can assist in the management of spending and assets across hybrid clouds by visualizing data that provides focus on asset performance.  Through the use of predictive analytics, it can also provide insight-based recommendations that help in the prioritization of changes according to their expected level of impact.  Analytics enables an ability to recalibrate cost by comparing planned versus actual operational expenditures.  The built-in cloud service provider catalog, pricing, and matching engines can also help organizations find alternative providers more easily.  Using IBM Watson® cognitive capabilities, IBM Cloud Brokerage Managed Services – Cost and Asset Management will also highlight cloud best practices and expected results based on IBM’s rich knowledge base of cross-industry cloud transition experience.

Operating a business from a virtual IT platform is different.  That is why advanced cost and asset management skills, capabilities and tools are needed.  According to Gartner, more than US$1 trillion in IT spending will be directly or indirectly affected by the shift to cloud during the next five years. This makes cloud computing one of the most disruptive forces of IT spending since the early days of the digital age.  You and your organization can be ready for these tectonic changes by implementing the straightforward five-step process supported by IBM Cloud Service Brokerage capabilities:

 

  1. Establish governance thresholds and policies for services;
  2. Connect the advanced management platform across all cloud service accounts;
  3. Track the costs of the services, including recurring and usage-based costs;
  4. Enforce compliance on the costs and asset usage using the purpose-built cost analytics engines; and
  5. Simulate and optimize the control and compliance actions and better control your costs.

 

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