Harnessing the power of data can grow business – AWS report
Amazon Web Services has released findings from a new research report that reveals organisations in Australia and New Zealand that harness the power of data can grow their annual business revenue by an average of 9.5%.
FFor large organisations in Australia with more than 200 employees, this is equivalent to AUD$38 million in additional annual revenue.
The Demystifying Data 2022 report, commissioned by AWS and prepared by Deloitte Access Economics, surveyed 609 senior business decision-makers in Australian and New Zealand organisations. The report measured their data maturity – the extent by which an organisation uses the data they produce – using a five-point scale, which ranges from Basic and Beginner (limited or no data strategy, not effectively capturing or analysing data), to Intermediate (emerging data strategy, data is analysed on an ad-hoc basis), to Advanced and Mastery (firmwide data strategy, analytics embedded frequently into decision-making).
The report reveals that organisations with more than 100 employees improved data capabilities in the past 12 months with 34% achieving Advanced or Master levels of data maturity versus 16% in 2021. Almost half (48%) of organisations surveyed reported effectively capturing and analysing data can lead to improved productivity, followed by improvements in customer experience (45%), and a reduction in operating expenditure (42%).
Surveyed organisations in the finance and insurance sector ranked the highest on the data maturity scale, with 50% of these organisations achieving Advanced or Master levels, followed by manufacturing (45%), and information, media, and telecommunication (33%). Conversely, organisations in construction, healthcare and social assistance, and retail trade have the lowest levels of data maturity, with less than 20% of surveyed organisations in these industries achieving Advanced or Master levels of data maturity.
While there are advantages to businesses in improving data maturity, large organisations in Australia and New Zealand continue to face challenges in climbing the data maturity ladder with 42% of organisations achieving Basic and Beginner data maturity. The main barrier cited by organisations to using data and analytics was a lack of funding (44%), which has been exacerbated by COVID-19, with 49% of respondents reporting that competing priorities since the onset of the pandemic has led to less resources for data and analytics. In addition, 37% of organisations highlighted poor data quality as a barrier, which can prevent businesses from adopting more advanced data analytics.
"We are excited to see that more organisations have advanced their data capabilities, which will help them to drive productivity, create a positive impact on the economy, while delivering significant financial returns for their business," says John O'Mahony, partner at Deloitte Access Economics.
"Investing in cloud solutions will help businesses to further accelerate their data capabilities and leverage advanced analytics tools such as artificial intelligence, machine learning, and Internet of Things to achieve data driven insights.
"In fact, businesses that already use cloud are 71% more likely to have invested in artificially intelligence and machine learning capabilities versus organisations using on-premises data storage," he says.
"To increase productivity and innovation, organisations should have a clear and practical roadmap for advancing on the data maturity ladder, invest in attracting and retaining talent, and leverage the right technology to reap the full benefits."
According to the Demystifying Data report, one third of organisations in Australia and New Zealand (35%) reported access to skilled resources as a barrier to developing their data and analytics capabilities. To improve data maturity, 33% of surveyed organisations prefer to upskill their current employees to grow their data and analytic capabilities, followed by outsourcing to other organisations (24%), and hiring skilled staff (24%).
AWS is deeply invested in helping local organisations address the digital and cloud skills shortage and bridge the data maturity gap through education. In 2021, AWS launched AWS Data Lab in Australia and New Zealand, which is a complimentary program that brings customers and AWS data specialists together to solve complex data challenges in tangible ways leveraging cloud. By working with local customers such as TEG, Fantom, and Intellihub, and other organisations, AWS Data Lab is helping customers across Australia and New Zealand to accelerate their data maturity journey.
AWS also offers a range of self-paced digital courses such as Data Analytics Fundamentals as well as industry-recognised certifications such as the AWS Certified Data Analytics credential, which is intended for individuals with experience and expertise working with AWS services to design, build, secure, and maintain analytics solutions. AWS has trained over 200,000 individuals in Australia on cloud skills since 2017.
"Data can be an invaluable source of growth for organisations in Australia and New Zealand. The key is recognising its inherent value, analysing it effectively, and building a data-driven culture." says Rada Stanic, chief technologist at AWS in Australia and New Zealand.
"No matter what stage organisations are in their data journey, AWS is committed to helping customers leverage the scalability, cost efficiency, and security of the cloud to scale their data projects and unify their data to drive productivity and innovate on behalf of their customers.
"Organisations will also benefit from building data skills within their teams, which may involve upskilling current staff through on-the-job training and training courses or collaborating with organisations such as our extensive network of AWS Partners," Stanic says.
"As organisations increase their data maturity, it will transform how they go about solving problems and building customer experiences, which will lead to breakthroughs in all industries including healthcare, finance, retail trade, and manufacturing operations."
