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Introduction

A recent Ovum survey investigated the storage needs and challenges of organizations in six Asia-Pacific countries as they move from on-premises to cloud computing.

Highlights

  • Digital organizations find data protection less of a challenge.
  • Being a data visionary is clearly linked to increased business value.
  • Data growth is underestimated as a challenge.

Features and Benefits

  • Explains how priorities for data security and compliance differ by Asia-Pacific country.
  • Reveals the major obstacles limiting adoption of cloud computing in Asia-Pacific.

Key questions answered

  • How do data visionaries and data resisters differ in exploiting the value of cloud computing?
  • What cloud adoption trends in Asia-Pacific can we expect in 2018 and beyond?

Table of contents

Summary

  • Catalyst
  • Ovum view

Recommendations

  • Key messages

Digital organizations find data protection less of a challenge

  • Top-down corporate governance is used in Asia-Pacific to enforce compliance

Vendor lock-in is the second-order reality most organizations are struggling to overcome

  • Losing the ability to move data between cloud providers is the biggest obstacle to greater cloud adoption

Data growth is underestimated as a challenge

  • The future impact of data growth on the cost of cloud storage must be included in any business proposal

Reducing opex by rebalancing IT resources

  • Transforming IT capability should be the starting point for any digital transformation journey

Country-level differences exist

  • Data security concerns center on ransomware
  • Compliance is the top business requirement
  • The mixture of storage technologies is the number one IT challenge
  • Using data to discover new insights is the top objective for businesses

Understanding the key technology shifts needed to become a data visionary in 2018

  • Cloud native workloads are set to increase rapidly in 2018
  • AI and machine learning make analytics a core aspect of ensuring service continuity
  • Separating performance from capacity requires a new approach
  • Conclusion

Appendix

  • About the survey
  • Methodology
  • Author