In the AI era, data is both a powerful asset and a daunting challenge. Organisations in Asia alone are managing staggering amounts of information, with 64% handling over 1 petabyte, and 41% managing more than 500 petabytes.
Yet, many still struggle to turn this data into actionable insights. Why? Because the more data is generated, the harder it becomes to manage, secure, and analyse effectively. This complexity is further compounded by the sheer scale of data generated across multiple clouds, devices, and geographies. And when data gets out of hand, businesses risk more than just inefficiency. It can impact decision-making, increase security exposure, and chip away at competitiveness.
Data complexity is no longer a background problem, it’s a frontline issue. According to our latest report The New Rules of Data Management, 91% of organisations in Asia have increased their data management spending this year, driven by the sheer volume of data and the need to maintain compliance.
However, this spending often fails to deliver the expected returns.
In fact, 71% admit that poor data management has directly led to bad decisions, while 62% have faced compliance issues due to fragmented, poorly governed environments. The consequences are severe — 46% report that these challenges have eroded their competitive edge.
The reality is that many businesses continue to struggle due to outdated data strategies. They rely on legacy approaches that centralise data at great cost, or worse, unintentionally maintaining data silos that limit visibility and increase operational overhead. This fragmented approach not only drives up costs but also exposes organisations to greater security risks and compliance failures.
And that’s the core problem: when complexity increases but strategy doesn’t evolve, data stops being an asset and starts becoming a liability.
This is where Splunk’s long-standing partnership with AWS makes a real difference.
For over a decade, we have worked together to help organisations make sense of their data — securely, at scale, and in real time. In FY24 alone, Splunk achieved over US$1 billion in cloud bookings via AWS. That’s not just a number. It’s proof that our joint solution is resonating.
Today, our work goes even further. Rather than ingesting every byte of data into a central system, Splunk now automatically classifies data by importance and applies intelligent processing rules — filtering, masking, and routing — before it ever reaches storage. Through federated search, businesses can now search and analyse data directly in Amazon S3, without needing to ingest it into Splunk.
What does this mean for customers? Lower storage and processing costs, faster time to insight and no need to sacrifice control or context. Ultimately, this also reflects a shift from managing data volume to maximising data value. It’s about giving teams access without complexity, and insights without delay.
And it’s this shift from noise to value that makes AI readiness possible. With Splunk on AWS, organisations can lay that foundation confidently. Clean data pipelines, federated access, and smart tiering ensure teams can feed AI systems with relevant, high-quality data — not just more of it. In a world where AI is only as good as the data behind it, this foundation becomes a key competitive advantage.
One standout example is 2C2P, a leading Southeast Asian payments platform. Handling over 2 billion transactions annually across 400,000 merchants, 2C2P needed a robust, scalable solution to manage their growing data volumes and ensure regulatory compliance. By leveraging Splunk’s solutions on AWS, they were able to:
This transformation not only boosted operational efficiency but also strengthened customer trust, positioning 2C2P as a leader in the highly competitive payments industry.
This is just one example of how our partnership with AWS is helping organisations transform data chaos into clarity. By providing the tools to access, analyse, and act on data in real time, we are empowering our customers to make faster, more informed decisions and drive the next wave of innovation.
As AI adoption accelerates, the demands on data infrastructure will only grow. The question isn’t whether to modernise your approach — it’s how.
And the answer doesn’t lie in a single tool. It lies in a strong, flexible ecosystem: one that provides full visibility, allows organisations to scale intelligently, act quickly, and adapt continuously.
We’ve seen this urgency firsthand at the AWS Summits in Seoul, Singapore, and Sydney. Splunk’s sessions drew full houses, our booths were buzzing, and conversations with business and tech leaders reflected a clear appetite for practical, scalable solutions. There was strong interest in how Splunk’s capabilities — from Gen AI to federated search — can simplify data management and accelerate AI success, all while keeping costs and complexity under control.
Next stop: Tokyo. We will be at Booth 048G and will be speaking at the event - we are excited to keep the momentum going! With AWS as our partner, we’re helping customers across Asia Pacific become truly AI-ready. Because when the right ecosystem is in place, data doesn’t just inform decisions — it powers them.
Learn how Splunk and AWS helps to tap into the full value of your data here.
The world’s leading organizations rely on Splunk, a Cisco company, to continuously strengthen digital resilience with our unified security and observability platform, powered by industry-leading AI.
Our customers trust Splunk’s award-winning security and observability solutions to secure and improve the reliability of their complex digital environments, at any scale.