Asia Pacific organisations are leading all other regions in data and analytics maturity according to a new survey from Gartner; however, the bar is set low, with a whopping 91 per cent of organisations worldwide reporting that they have not yet reached a transformational level of data and analytics maturity.
‘Survey Analysis: Traditional Approaches Dominate Data and Analytics Initiatives’ reports the findings from an online survey of 196 organisations in Asia Pacific, North America and EMEA undertaken in Q2 2017.
The survey found that 48 per cent of organisations in Asia Pacific reported their data and analytics maturity to be in the differentiating and transformational levels of maturity, which are the top two levels assigned by Gartner. This result was positive in comparison to 44 per cent in North America and just 30 per cent in EMEA.
A full 60 per cent of respondents rated themselves at level 1 – basic, level 2 – opportunistic and 3 – systematic, while only 9 per cent reported their organisations at level 5 – transformational, which is the top level.
“Most organisations should be doing better with data and analytics, given the potential benefits,” said Nick Heudecker, research vice president, Gartner. This is especially true since data and analytics have consistently been named a top investment priority for CIOs over the past several years.
“Organisations at transformational levels of maturity enjoy increased agility, better integration with partners and suppliers, and easier use of advanced predictive and prescriptive forms of analytics. This all translates to competitive advantage and differentiation,” said Heudecker.
“Don’t assume that acquiring new technology is essential to reach transformational levels of maturity in data and analytics,” he said, recommending a focus on improving how people and processes are coordinated internally and expanding to also focus externally.
The survey reported that 64 per cent of organisations still consider enterprise reporting and dashboards to be their most business-critical applications for data and analytics. Other traditional data sources including transactional data and logs also continue to be ranked highly. A full 54 per cent of respondents ranked improving process efficiency in the top three problems they look to data and analytics to solve, while 31 per cent of respondents listed each of customer experience enhancements and new product development in second place.
When it comes to barriers, the survey identified the three most common as: defining data and analytics strategy; determining how to get value from projects; and solving risk and governance issues. Jim Hare, research vice president, Gartner said these barriers represent a point in time, consistent with what Gartner hears from organisations at maturity levels 2 and 3.
On-premise deployments account for 43-51 per cent of deployments worldwide, with pure public cloud deployments at 21-25 per cent, and hybrid environments at 26-32 per cent.
“Today, most public cloud workloads are new and we won’t see the percentage of cloud use rise until legacy workloads migrate en masse,” said Hare, predicting this shift will still likely take several years.
Gartner analysts will discuss these trends in more detail at the Gartner Data & Analytics Summit in Sydney on 26-27 February 2018.