Case Studes

Customer Industry: Telco
Size: Enterprise
Location: Global

Key Metrics

  • 12 different files, including text, CSV, and Excel
  • ServiceNow extracts
  • 45 Days to Complete
  • No Discovery Agents
  • Multiple Business Case Scenarios
  • Migration Readiness Assessment Action Plan 

Objectives

  • The customer was struggling with discovery and 6R’s assessment and migration approach and wanted to accelerate mass migration.
  • Exit and close old data centre facilities.
  • Reduce infrastructure technical debt.
  • Optimise cost of infrastructure service provision.
  • Standardise infrastructure footprint.
  • Create a foundation for transformation projects, including the adoption of cloud-native technologies.

Approach

  • Rapid discovery and assessment and cloud strategy development.
    Migration strategy and roadmap underpinned by applications and infrastructure data.
  • Rapid mapping of workloads to one of the six R transformation methods.
    Fast identification of quick wins enables the first wave of migrations to happen faster, providing valuable learnings to help shape the remaining migration waves.

Results

  • Rapid discovery and assessment and cloud strategy development, enabling first migrations in under 45 days.
  • Development of business case, migration strategy and move groups.
  • Adoption of migration hub and Cloud Endure using Junkshon migration grouping extract.
  • Adoption of an improved security access model.
  • Identification and execution of mode-2 proof of concepts in parallel to mode-1 re-hosts.
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Case Study

South African Telco

  • Industry: Telco ​
  • Size: Enterprise​
  • Location: South Africa

Key Metrics

  • 9 different files, including text, CSV and excel.​
  • 40 Days to Complete​
  • No Discovery Agents​
  • Multiple Business Case Scenarios​
  • 4,552 Servers​
  • 730 Applications

Objectives

The Customer is changing the approach to telecommunications. The vision is to be the leading digital telco provider. Modernisation is required across the business, from the networks delivering services to our customers to the implementation of Big Data and Artificial Intelligence (AI) technology and services.

These technologies will transform the underlying business processes to underpin decision-making, enable a greater 360 view of the customer, and enable greater cross/value-added selling opportunities.

Key objectives:

  • Reduction of infrastructure costs, including reduced capex spending and changing operational expenditure levels.
  • Reduce or remove the operating systems that are out of support
  • Improve the underlying infrastructure fabric and resilience and technical debt.
  • Improve compliance and reduce the number of incidents and technology product sprawl. 
  • Accelerate IT strategy implementation and continue to drive the Agile development culture.
  • Enable a platform to drive the growth in sales for IoT and Big Data platforms. 

Approach

  • Rapid discovery and assessment and cloud strategy development 
  • Migration strategy and roadmap underpinned by applications and infrastructure data
  • Rapid mapping of workloads to one of the six R transformation methods 
  • Fast identification of quick wins enables the first wave of migrations to happen faster, providing valuable learnings to help shape the remaining migration waves. 
  • Risk model development across Business case, Security, Operating Model and Migration.

Results

  • Rapid discovery and assessment and cloud strategy development enabling first migrations in under 45 days
  • Development of business case, migration strategy and move groups
  • Adoption of migration hub and Cloud Endure using junkshon migration grouping extract
  • Adoption of an improved security access model
  • Identification and execution of  mode-2 proof of concepts parallel to mode-1 re-hosts.
  • Cloud adoption flight plan with resource model.
Contact Junkshon