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A Cloud Strategy Framework for a Post-Pandemic World

Consultant Melissa Swartz provided a cloud strategy framework to provide an answer to the problems faced in a pandemic-struck business world.

September 2, 2020 Adam Forziati Leave a Comment

cloud migration approach, cloud strategy framework

Many businesses have used on-premise UC systems for their relatively low cost and ease of control. But after a global pandemic, cloud strategies are changing, and organizations who hadn’t yet embraced cloud communications started floundering.

At Enterprise Connect 2020, Melissa Swartz, Founder of Swartz Consulting, provided a cloud strategy framework to provide an answer to the problems faced in a pandemic-struck business world.

This roadmap will help you determine what your cloud strategy should accomplish, focusing specifically on understanding the differences between quick-response and full-scale solutions; evaluating rapid-response solutions; understanding financial impacts; and weighing out the pros and cons of moving fully into a cloud vs. a hybrid deployment.

Free license softwares are expiring and it’s time to decide whether the quick-response solution is the right path going forward.

Problems with a tools approach:

  • disjointed reporting/mismatched data
  • user confusion/which tool for what?
  • finger pointing

Communication technology platform benefits:

  • consistent data source for analytics, reporting
  • consistent user interface, less need to change tools
  • integrations done for you by supplier
  • centralized admin/security

Evaluating rapid response solution for the best choice going forward:

  • document
  • identify gaps
  • discovery

DOCUMENTING: With the new processes created during pandemic transitions, what did you learn? What worked well? What was challenging? Common issues? Did you create any new processes or new tools? Do you need to create FAQ documents?

Think through what has changed in your environment and what impact those changes will have.

IDENTIFY: Are there any training or feature gaps? How about process or policy gaps? What processes did you create to get people working remotely and did existing technology help or hinder the change?

DISCOVER: Will your existing tools work, or do you need a platform? What “nice to haves” are now “must haves”? Are things like desk phones necessary anymore? Are people happy with how they do their work?

Analyze your cost items:

Potential budget ‘gotchas!’ 

  • contact center
  • call recording
  • infrastructure upgrades like VOiP transitions (cabling, switches, UPS)
  • cloud taxes, fees, surcharges (get an actual bill from the surcharger to see all the fees involved)
  • decommission and cleanup
  • multi-year projects may not be funded in a year

Potential savings opportunities: 

  • what can you disconnect/eliminate?
  • SIP trunking/centralization
  • eliminate external conferencing services
  • reduce travel between sites (use video conferencing)
  • network savings with VOiP  (cabling & infrastructure savings)
  • retraining people

Full cloud vs. hybrid systems

Pros of a cloud strategy:

  • provider handles server management, uptime requirements, bandwidth worries, security and compliance
  • there’s no need to keep multiple components in sync with versions and upgrades to “keep the plates spinning”
  • providers take care of integrations
  • AI capabilities are cloud focused
  • no data center space required

Related: Need to Know: Cloud Environments

Cons of a cloud strategy:

  • lack of control, especially surrounding security and upgrades
  • best of breed options may be limited with platform architectures
  • subscription pricing can cost more in the long run
  • a lack of support for legacy apps and workflows
  • no true analog support

Hybrid or Premise pros:

  • control over direction, security, compliance, etc.
  • sweat the assets, add capabilities as needed
  • support for legacy apps/workflows
  • analog support

Hybrid or Premise cons:

  • integration and finger-pointing issues
  • skills and resources required for server, uptime, bandwidth management, compliance, and security requirements
  • must keep multiple components in sync with upgrades to “keep the plates spinning”
  • AI is cloud-first
  • lack of flexibility
  • requires data center space

 

 

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