Perspective Beyond · Mind Atlas

Southeast Asia Shadow IT and Lakehouse model Rationalization

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A global luxury group was operating across a highly fragmented Asia-Pacific and Southeast Asian ecosystem, with multiple Maisons, hundreds of boutiques, numerous local providers, many country-specific constraints and a large number of locally developed or locally procured applications.

While China naturally attracted significant corporate attention due to its size, regulatory specificities and technological separation, the broader Southeast Asian region represented a very substantial operational and commercial footprint in its own right. In terms of stores, brands and revenue, the aggregate weight of Southeast Asia and the rest of Asia-Pacific could match or even exceed China, but without a single dominant actor concentrating the strategic visibility.

The region included multiple countries, time zones, languages, legal systems, data policies, business cultures and local operating models. ASEAN countries have enacted increasingly complex and divergent data protection and localization regimes – from Singapore’s PDPA to Vietnam’s strict in-country data storage requirements – which means compliance in one jurisdiction does not automatically transfer to another.

In many cases, local teams had developed or acquired their own solutions to solve urgent business needs without waiting for centralized global delivery.

The result was a highly complex regional technology landscape, with significant levels of shadow IT, fragmented ownership and limited global visibility. Shadow IT – defined as any application, service or system deployed without central IT approval – is now ubiquitous in large organizations, especially in cloud and SaaS environments, and is widely recognized as a source of cost, security and governance risk.

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