We are living in the post-AI world. Your business is about to change. The winners have a data strategy for AI — and the right capability to execute it.
Most organisations are still not there. They are experimenting. They are piloting. They are waiting. The gap is data, execution and who sits in the room when decisions are made. The Data Company connects the people, strategy, technology, market access and data required to move from AI ambition to operational reality.
Singapore · Tokyo · DAMA Singapore (Data Management)
DAMA Singapore (Data Management) and Data Leaders form a senior data and AI collective across Singapore and Tokyo. Over 2,500 practitioners: CDOs, data and AI governance experts, data engineers and architects, business leadership and builders.
Open and closed-door forums. Executive roundtables. Private sessions. Chatham House Rule. We bring together leading practitioners, high-growth tech companies and organisations to exchange what works, what does not and what delivers results.
Closed-door sessions across Singapore and Tokyo, together with partner platforms and industry forums that shape the regional data and AI agenda.






Most AI initiatives slow down in the same place: data quality, ownership, integration, governance and execution. We help organisations treat data as an asset, build the right foundation, and connect business goals to data, AI and commercial outcomes.
Data strategy that treats data as an asset, linking business goals to data foundations, semantics, governance and operating models for AI, data products and scalable execution.
Executive and expert training for business, data and technology operators, with hands-on workshops that define the practical first step for a data project from idea to Minimum Viable Product or Proof-of-Concept, covering data strategy that connects business goals to project data and AI objectives.
Data and AI strategy, policy and governance designed for implementation across real institutional and enterprise environments.
Every company claims AI capability. We provide technology and data due diligence grounded in what is actually being built, deployed and adopted.
For investors, strategic buyers and policy stakeholders seeking an independent view of enterprise data and AI companies.
Category-level intelligence for investors and buyers evaluating the enterprise data and AI market.
Market intelligence for investors, technologists and vendors tracking the evolution of enterprise data and AI.
Governance and policy intelligence informed by actual enterprise data environments and operating constraints.
We sit between data owners and data buyers across the region. Financial institutions, hedge funds, asset managers and quant firms. Alternative data providers, market data vendors, proprietary datasets and platforms.
Data buyers Financial institutions, hedge funds, asset managers and quant firms.
Data sellers and owners Alternative data, market data, proprietary datasets, platforms, APIs and research.
We connect relevant buyers and sellers directly, with the right context for serious commercial and strategic conversations.
Selected customers across finance, telco, energy, FMCG and technology.
If this is relevant, it is already clear why