The Essentials of a Sound Cloud Migration Strategy

Moving your Business Intelligence (BI) and analytics apps onto a cloud platform makes it more adaptable and scalable, not to mention having modern infrastructure and the latest features at your disposal. However, the shift from legacy on-premise systems to the cloud is far from simple.

In fact, a survey of 400 IT professionals by iLand showed that up to 57% of Amazon Web Service (AWS) users and 44% of Microsoft Azure users had issues with failed or stalled cloud adoption projects. According to a report by Velostrata and Dimensional Research, around 55% of companies attempting cloud migration go over their budget. The respondents also attributed their migration setbacks to competing IT projects (56%), lack of expertise (56%), security concerns (52%), and lack of resources (52%).

Success relies on planning.

Mid-process migration failure can be caused by several technical, cultural, and managerial issues.  However, having a well-defined cloud roadmap for analytics (CRA) can mitigate most risks improving your chances of a successful cloud adoption.

What is CRA?

Cloud Roadmap for Analytics (CRA) is a strategic roadmap and framework that identifies risk, prevents unpleasant surprises, and provides the agreement necessary to execute cloud migration projects effectively. It enables organizations to plan, prepare, and execute the migration of D&A systems to the cloud.

CRA can help your enterprise:

  • Define migration objectives
  • Decide what systems to migrate
  • Select the most appropriate platform
  • Choose the best time to start
  • Select a migration partner
  • Devise an implementation plan

InfoCepts has released a CRA playbook that can guide your company through the complicated process of migrating D&A assets to cloud. It contains valuable real-world advice that has worked for InfoCepts’ Fortune 500 clients. Download it here.

Summarized below are the key takeaways from the playbook:

  • Start small. Going large-scale prematurely is a recipe for guaranteed failure.
  • Not all systems are suited for the cloud. Do not start moving your data and analytics systems to the cloud just because you are afraid of missing out.
  • Avoid concentrating on “cost savings” as the only reason to migrate. Use a multi-year TCO and ROI analysis to back up your decisions.
  • Think of cloud migration as a chance to fix current issues, add new abilities and improve the performance of D&A systems.
  • Invest in thoughtfully creating a proof-of-concept to validate assumptions and determine the best end-state design.

Finally, consider working with a D&A cloud migration specialist that can help you keep up with  innovations on the cloud.

About the author:

Ambar is a Marketing Consultant at InfoCepts and provides business development, marketing, and sales enablement expertise to help promote business growth and improve brand awareness. He has worked on numerous go-to-market strategies, external campaigns, global events, and has helped create content that genuinely adds value. Working closely with clients, Ambar has helped build innovative solutions across technology practices like data & analytics, cloud, AI, robotics, hyper-automation, and application modernization. He has more than 10 years of experience, holds a master’s degree in business administration, and a bachelor’s degree in engineering.

 

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