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Home Technology Big Data, Analytics & Intelligence

APAC organisations are rethinking data management strategies amidst challenges

FutureCIO Editors by FutureCIO Editors
April 25, 2025
pexels-brett-sayles-2881229 data center

pexels-brett-sayles-2881229 data center

Qlik’s new research paper by the International Data Corporation (IDC) has revealed that 80% of Asia Pacific organisations are rethinking their data management strategies. This is driven by the urgent need to address challenges such as poor data quality, bias, and complex engineering, which cause one in five AI projects to fail.

Furthermore, the report titled  The AI Pivot: Accelerating GenAI Adoption and Unlocking Data-Driven Business Value forecasts a promising future. It projects that AI-related investments in the region will outpace overall digital technology spending by 1.7 times. IDC predicts that generative artificial intelligence (GenAI) will have an estimated regional economic impact of US$1.6 trillion by 2027.

Maurizio Garavello
Maurizio Garavello

“In 2025, AI will focus on agentic AI, redefining business operations with dynamic, autonomous outcomes. But success depends on high-quality, accessible, and well-governed data,” said Maurizio Garavello, senior vice president of Asia Pacific & Japan, Qlik. 

Stronger GenAI implementation

The report also found that about 35% of organisations surveyed cited inconsistent, outdated, and biased data hindering their ability to scale GenAI initiatives successfully.

Because of that, 56% of organisations in the region are turning to low-code and no-code AI tools to simplify GenAI implementation.

Dr Chris Marshall
Dr Chris Marshall

“An AI-driven future starts with two key priorities: building a strong data foundation and identifying the right business use cases for AI,” said Dr Chris Marshall, vice president of data, Analytics, AI, Sustainability, and Industry Research, IDC. “From business intelligence to fraud prevention, AI offers vast opportunities – but to unlock its full potential, organisations must prioritise data integrity, governance, and innovation.”

Related:  Data challenges limiting business AI adoption in Singapore
Tags: Artificial IntelligenceDdata managementdigital transformationgenerative AIIDC
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