Sydney, Australia โ February 12, 2025 โย Boomiโข, the intelligent integration and automation leader, has unveiled the Australian findings of itsย Data Liquidity Index Study, conducted by Hanover Research. The survey found strong data integration capabilities within Australian organisations, but identified gaps in liquidity as companies battle challenges with data privacy/security and data quality/accuracy.
According to the report, 80 per cent of Australian organisations identify data integration as at least a high priority. Currently, 76 per cent of respondents stated their companies are โveryโ or โextremelyโ integrated, with the remaining 24 per cent โmoderatelyโ integrated.
The top benefits experienced by the Australian contingent from using an integrated platform include: increased operational efficiency (89 per cent), streamlined business processes (73 per cent), and better customer service and experience (73 per cent). Major challenges with integrating data were identified as: managing large volumes of data (43 per cent), handling data security/privacy concerns (39 per cent), and navigating regulatory/compliance requirements (32 per cent).
However, while 88 per cent of respondents feel their organisationsโ data is at least very interconnected, only six per cent completely agree there are no barriers in accessing data within their environments.
โData integration continues to be a critical pillar for Australian companies; bringing data together, wrapping the appropriate protocols around it, and leveraging it to improve operations and services drive competitive advantage,โ said David Irecki, CTO for Asia-Pacific and Japan at Boomi. โAchieving this state is only becoming more important as AI strategies move from early planning to deployment โ the right foundation is essential to ensure these complex automated and generative capabilities are introduced compliantly and without risk.โ
Converting Integration Into Liquidity
Data liquidity refers to the ability to seamlessly access, combine, and analyse data from various sources to extract relevant information and apply it effectively to specific business scenarios. It measures how well an organisation can get the right data to the right place at the right time.
The report found 75 per cent of Australian companies see data liquidity as at least a high current priority. Responsibility for data liquidity is heavily shared across multiple departments, including offices of CTOs, CIOs, CEOs, and COOs.
The survey data found that the major roadblocks to liquidity include: managing data privacy/security (56 per cent), ensuring data quality/accuracy (41 per cent), and the cost of data management tools (36 per cent). Interestingly, despite Australiaโs ongoing talent shortage, only 18 per cent of respondents stated a lack of skilled personnel in data analytics as a challenge.
Meanwhile, the main safeguards respondents believe need to be in place to achieve data liquidity include: effective data backup/recovery systems (74 per cent), regular data quality/accuracy checks (72 per cent), and strong firewall and anti-malware protection (61 per cent). Only 27 per cent identified incident response plans for potential data breaches as a safeguard, the lowest score alongside robust data encryptions protocols, also at 27 per cent.
โImproving data liquidity is not only integral to deriving value from technology investments, but it also creates a safety net for complex AI projects,โ said Irecki. โAs an increasing volume of automated and generative tools enter the business, there must be mechanisms to ensure accurate data moves securely throughout an organisation.โ
Today, 83 per cent of companies claim to use some form of AI, with 17 per cent in the experimental stage. However, 16 per cent of respondents donโt believe their organisations have the ability to ground AI models with precise, real-time data.
Theย Data Liquidity Index Studyย surveyed 100 Australian decision makers across various business functions at organisations with annual revenues of more than US$300 million. Respondents were required to hold high familiarity with their companiesโ data solutions and integration capabilities, and authority in the selection and purchase of data platforms.
