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From data silos to actionable insights: Innovating within legacy constraints for the digital enterprise
MARKET VIEW REPORT
Sponsored by:
01
Which aspect of working with legacy tech stacks poses the biggest challenge to data innovation in your organisation?
Data silos
Limited integration capabilities
Insufficient
data quality
Culture
and politics
Other/unclear responses
Integration challenges and data silos together account for 58% of responses, suggesting technical connectivity remains the primary hurdle for most organisations. Notably, quality of data itself appears to be less of a concern, with only 8% citing this as their main challenge. The write-in response highlighting culture and politics reminds us that technical challenges often mask deeper organisational issues.
02
How would you describe your organisation's current approach to innovating with existing data and systems?
The responses paint an encouraging picture of organisations taking proactive steps to innovate. Half are actively seeking new solutions, while another 17% focus on specific high-value areas. Only a small minority lack a clear strategy or are planning wholesale system changes, suggesting most organisations prefer practical, targeted approaches to innovation within existing constraints.
03
Which capability would most enhance your ability to innovate with existing data?
The even distribution across integration, governance, and visualisation capabilities suggests organisations recognise the need for a balanced approach to improvement. The relatively low priority given to AI and machine learning indicates a focus on getting the fundamentals right before pursuing more advanced technologies.
04
How often does your organisation successfully launch new data-driven initiatives that work within your existing tech stack?
Occasionally
(2-3 times per year)
Regularly
(4-6 times per year)
Continuously
(ongoing process)
Rarely
(once a year or less)
Most organisations maintain a measured pace of innovation, with 42% launching initiatives 2-3 times annually. A quarter report continuous deployment of new initiatives, while only 17% rarely undertake new projects. This suggests a balanced approach between careful planning and regular progress.
05
What is the primary driver for seeking to unlock more potential from your existing data and systems?
The dominance of improved decision-making as a driver (58%) indicates organisations view their data primarily as a strategic asset rather than an operational tool. The relatively low emphasis on cost reduction (8%) suggests organisations are more focused on creating new value than reducing expenses.
04
In the next 2 years, how much do you expect your organisation's investment in tools to better leverage existing data to change?
The clear expectation of increased investment, with 83% planning some level of increase, demonstrates strong organisational commitment to improving data capabilities. This suggests broad recognition that better data utilisation is crucial for future success, even when working within existing system constraints.
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