Big data adoption in Australia and New Zealand is getting hampered by a skills shortage and lack of suitable software, according to the findings of a new research paper. The Economist Intelligence Unit report entitled, The Hype and the Hope: The road to big data adoption in Asia Pacific, was commissioned by Hitachi Data Systems (HDS) and conducted during October 2013. One hundred and sixty-six A/NZ senior executives and front line managers responded to the survey. A total of 550 organisations in Asia Pacific were polled. According to the findings, 43 per cent of A/NZ respondents cited a lack of in-house skills as a barrier to big data adoption while 40 per cent said there was a lack of suitable big data software available. SUBSCRIBE TO OUR NEWSLETTER From our editors straight to your inbox Get started by entering your email address below. Please enter a valid email address Subscribe Thirty-one per cent of A/NZ senior managers cited overly complicated reports and a lack of communication between departments as barriers to using big data. Lack of data scientists could derail big data projects: IBM Addressing the top four big data challenges Big data adoption still under consideration in A/NZ: Forrester The report also found that almost 40 per cent of A/NZ companies do not have a big data strategy due to the communication and skills challenge. Approximately 20 per cent planned to roll out big data offerings but these plans had been poorly communicated. HDS Asia Pacific’s senior vice president and general manager, Neville Vincent, said that despite the challenges, many A/NZ respondents indicated that they could get a return from big data investment. For example, 73 per cent expected forecasting accuracy to improve by 25 per cent while 76 per cent said that management decision making would improve by over 25 per cent. “There are three things we think CEOs need to do with big data adoption. They need to change their approach to the data they have in their organisation because data is going to be the fundamental source of shareholder value,” he said during a media and analyst briefing in Sydney. “Data asset returns are going to improve revenues, profitability and productivity.” The second piece of advice was “extracting value” from the data. According to Vincent, more organisations need to improve communication between departments. “Information is still highly siloed and people can’t do the collaborative analysis. Departments aren’t talking each other so front line managers can’t determine what they actually need,” he said. Vincent’s third piece of advice was not to dictate big data strategy to IT. “If data is your most fundamental capital asset, you need to get your IT department involved much earlier with the business planning cycle.” Follow Hamish Barwick on Twitter: @HamishBarwick Follow CIO Australia on Twitter and Like us on Facebook… Twitter: @CIO_Australia, Facebook: CIO Australia, or take part in the CIO conversation on LinkedIn: CIO Australia Related content opinion The changing face of cybersecurity threats in 2023 Cybersecurity has always been a cat-and-mouse game, but the mice keep getting bigger and are becoming increasingly harder to hunt. By Dipti Parmar Sep 29, 2023 8 mins Cybercrime Security brandpost Should finance organizations bank on Generative AI? Finance and banking organizations are looking at generative AI to support employees and customers across a range of text and numerically-based use cases. By Jay Limbasiya, Global AI, Analytics, & Data Management Business Development, Unstructured Data Solutions, Dell Technologies Sep 29, 2023 5 mins Artificial Intelligence brandpost Embrace the Generative AI revolution: a guide to integrating Generative AI into your operations The CTO of SAP shares his experiences and learnings to provide actionable insights on navigating the GenAI revolution. By Juergen Mueller Sep 29, 2023 4 mins Artificial Intelligence feature 10 most in-demand generative AI skills Gen AI is booming, and companies are scrambling to fill skills gaps by hiring freelancers to make the most of the technology. These are the 10 most sought-after generative AI skills on the market right now. By Sarah K. White Sep 29, 2023 8 mins Hiring Generative AI IT Skills Podcasts Videos Resources Events SUBSCRIBE TO OUR NEWSLETTER From our editors straight to your inbox Get started by entering your email address below. Please enter a valid email address Subscribe