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Transformation Network
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…
Essential Characteristics of Cloud Computing as Digital Transformation
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…
Transformation Innovation
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…
Transformation Frameworks
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…
Transformation Infrastructure
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…
Essential Characteristics of Cloud Computing as Digital Transformation
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…
Embrace Transformation
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…
Computer Vision Advances Zero-Defect Manufacturing
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…
Real-Time Analytics Power the Roadway of the Future
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 Outdated infrastructure is based on proprietary, single-purpose subsystems, making it costly to…
Thriving on the Edge: Developing CSP Edge Computing Strategy
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…
In February 2011, Vivek Kundra announced the “Cloud First” policy across the US Government. The directive, issued through the Office of Management and Budget, required agencies to give cloud technology first priority in developing IT projects. He also described cloud computing as a “10 year journey”. According to a Deltek report, federal agency spending on cloud computing will grow from $2.3 billion in fiscal 2013 to $6.1 billion by fiscal 2018. This forecast clearly raises the importance of understanding what has happened over the past few years. In my opinion, the Top 5 most important lessons learned are:
- When selecting the appropriate deployment model (Public, Private, Hybrid or Community) don’t reflexively pick private as the “obvious low risk choice”. Private cloud with no resource sharing doesn’t deliver the promised cost savings. Do the math, do the science and do the engineering. Develop a real business case. Start with functional requirements related to the mission. If the numbers don’t make sense, don’t do it
- Failure to modify business processes to take advantage of the parallel nature of cloud computing platforms will lead to minimal improvements in those processes. Government IT managers must accept that cloud computing means the purchase of a service, not the purchase of technology. This usually represents a fundamental change in how technology is acquired and managed.
- Treating your cloud transition as only an IT project is a big mistake. Business/Mission owners and Procurement officials must be intimately involved. According to an Accenture report sponsored by the Government Business Council, the challenges federal agencies have experienced in cloud development have restrained deployments to date, but alleviating these impediments should spur adoption. Agencies looking to cloud infrastructure need to develop standardized procurement requirement statements and SLAs that address both cyber security and operational issues at a level of detail to minimize interpretation issues.
- Cloud transitions have significant education and cultural challenges. Cloud transition strategies also require a robust change management plan. Change is hard, and I think change in government is harder. So I think having a well formed plan for communication and change management is incredibly important. Implementing cloud-based best practices requires an immense and continuous effort to ensure that new practices are embraced.
- Federal agencies need to improve the maturity of their respective enterprise architectures lack of which makes cloud transitions difficult. This will require focused agency leadership. GAO’s experience has shown that attempting to modernize and evolve IT environments without an architecture to guide and constrain investments results in operations and systems that are duplicative, not well integrated, costly to maintain, and ineffective in supporting mission goals.
The road ahead still has storm clouds and heavy rain, but all in all, we’ve made a good start.
( Thank you. If you enjoyed this article, get free updates by email or RSS – © Copyright Kevin L. Jackson 2012)
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Cloud Computing
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Cybersecurity
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