IT Execs Are Challenged by Digital Transformation

IT Execs Are Challenged by Digital Transformation

IT Execs Are Challenged by Digital Transformation

IT leaders are balancing the need to transform their company into a digital enterprise with the need to deliver measurable operational and business improvements.

Hybrid Cloud Rising

9% of respondents said they have a hybrid cloud environment, and this will rise to 24% by 2020.

IT Strategy and the Cloud, Part 1

69% of respondents said migrating and building new apps on standardized cloud platforms will yield substantial savings.67% are planning to use professional services within the next two years to assist IT transformation. 63% are replacing applications rather than modernizing them.

IT Strategy and the Cloud, Part 2

63% believe that IT will primarily become a broker of IT enterprise services by 2018.
61% said automation will enable them to reduce IT staff by 20% during the next three years.
59% said that the public cloud is the best choice for 25% of their workloads.

Security and Digital Transformation

More IT leaders are preparing for digital transformation security than they are for widespread digital transformation. 57% of respondents use infrastructure and data security, and 56% use identity and access security.

Inhibitors of Infrastructure Upgrades

Budget imitations: 44%, Difficulty improving ROI: 36%, Lack of internal resources for training and hiring IT staff: 29%:, Lack of staff skills, tools or processes for future environment: 29%

Drivers of IT Infrastructure Transformation

Reduce IT infrastructure costs: 39%, Improve security: 32%, Improve IT service levels: 32%, Respond to new business requirements: 28%,

Technologies With Biggest Impact on Spending

IT operations automation: 43%, Big data analytics: 40%, Private cloud: 36%

Drivers for Application Modernization

Integrate with new platforms and processes: 38%, Respond to business requirements: 38%, Reduce ongoing maintenance costs: 37%, Improve service levels: 36%

Top Emerging Technologies

Data science and big data: 53%, Voice recognition and natural language processing: 37%, Machine learning, AI and cognitive computing: 37%