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SoftwareOne’s global research report ‘Driving business outcomes through cost optimised innovation’ shows how companies are surging ahead in innovation by creating a self-sustaining cycle of savings and investment.
Based on a global survey of 600 business, IT and procurement decision makers, the report uncovers the best practices and priorities of these high performing businesses.
You’ll also find in-depth findings about AI, cloud adoption, security and cost management, as well as practical steps to kick-start your own self-funding innovation cycle.
While 67% of large enterprises report high levels of innovation, only 32% of middle-market firms say the same. This gap is a wake-up call for middle-market executives: 83% acknowledge that higher innovation is critical for staying competitive. To close the gap, they are focusing on customer and product innovation to boost the top line, and process and business model innovation to lift the bottom line.
Because of their limited budgets, middle-market companies are more apt than larger companies to fund innovation through cost savings from IT optimisation.
By modernising IT platforms and cutting excess software and cloud costs, they free up funds to invest in further innovation, creating a self-sustaining flywheel of continuous cost savings and investment.
While all middle-market companies want to improve innovation and cut costs, they are at various stages of implementing an innovation flywheel. To reflect these stages, we classified each survey respondent into one of three innovation categories:
Optimised Innovators are well ahead of their peers in laying a modern IT foundation to power a flywheel of cost optimisation and innovation. Their approach creates numerous measurable business benefits.
More than two-thirds of Optimised Innovators have made significant progress in building a cloud-based infrastructure, and over half have moved their apps to the cloud and migrated core processes. A similar percentage have established governance, compliance, and security policies.
While most companies are in the planning or early implementation stages of AI use, 84% of Optimised Innovators are midway or advanced in using AI for internal processes, and 71% for customer engagement and innovation. The AI divide is even more apparent in the adoption of generative AI. Optimised Innovators are nearly twice as likely as others to be at mid- or advanced implementation of Gen AI for internal purposes (61% vs. 31%).
Optimised Innovators know that fast-tracking innovation can expose them to greater data security and privacy risks. To protect themselves, Optimised Innovators use nearly every cybersecurity solution considerably more than other companies. These solutions include zero trust security (56% vs. 31%), automated risk monitoring (55% vs. 35%), RegTech (46% vs. 27%), data loss prevention (44% vs. 32%), and security orchestration, automation and response (43% vs. 28%).
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