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Data modeling defines how entities, relationships and business rules are organized. It connects business requirements with databases, warehouses and data products.

To understand how data modeling fits into broader architecture choices, read our guide to the main types of data architectures, including centralized, federated and data mesh models.

Value stream mapping shows how work moves from a customer request to a completed outcome. It connects process steps, information flows, waiting time, rework, and handoffs in one visual view.

In this article, you'll see how to build a value stream map, use the main symbols, compare a current state map with a future state map, and turn the findings into practical lean process improvement.

Data migration becomes an architecture decision when information moves from an existing environment into a new operating model. The project may involve legacy databases, cloud platforms, data warehouses, business applications or several systems at once.

The target environment affects what data should move, how it should be structured and who will own it afterwards.

Ho Chi Minh City moves fast, and so does Mantu’s Vietnam Hub. Since opening in December 2014, the hub has grown into a team of nearly 500 people, making it Mantu’s largest hub in Asia.

From Medellín, Mantu teams connect Finance, Recruitment, HR, IT, and business expertises with markets across North, Central, and South America. Responsibilities also reach Europe and Asia through collaboration with colleagues in other Mantu offices, giving the Hub a worldwide reach.

Phoenix runs at the pace European finance needs: accurate, every day. Since opening in June 2015, Mantu's Mauritius Hub has grown into a team of 165 people who keep invoices, accounts, contracts and customer relationships moving across France and the rest of Europe.

Barcelona gives people a local base for work that reaches across regions. From the Hub, teams contribute to IT, Life Sciences, Telecom, business, and delivery activities across EMEA, APAC, and LATAM. Alongside colleagues from Amaris Consulting, LittleBig Connection, Valuement, and Agence Mantu, people combine local delivery with expertise from other Mantu locations.

Mantu Co-CEOs Constance Nevoret and Mark-Corentin Cot-Magnas have been selected in Challenges magazine's 40 Under 40, highlighting leaders helping shape France's future. 

The distinction rewards two individual careers. It also puts a spotlight on something less common: co-leadership as a deliberate management model for a company of Mantu's scale. 

Since becoming Co-CEOs in 2025, Constance and Mark-Corentin have chosen not to divide leadership between them but to build it together. 

The full article of Challenges is available in print, in french.

Lift and shift migration moves an existing application or workload to cloud infrastructure with limited changes to its code and architecture.

The approach, also called rehost migration, can help organizations leave a data center, replace aging infrastructure, or meet a migration deadline without redesigning the application first. It can reduce the initial effort required to move a workload, but it may also carry existing technical and operational problems into the cloud.

Every organization needs clear rules for how data is owned, used and protected. The right approach depends on the architecture behind it.

A centralized, federated or data mesh model changes who makes decisions, who manages quality and how standards are applied. That’s why data governance should reflect the way data moves through the organization.

The SD-WAN vs MPLS decision depends on how your enterprise carries traffic, applies policy, and connects users to applications. SD-WAN suits cloud-heavy, distributed environments. MPLS remains a fit for workloads that need predictable provider-managed performance. A hybrid WAN can support a staged transition.

The market for change management framework options is crowded: Kotter, Prosci ADKAR, McKinsey 7-S, Lewin, Bridges, Nudge Theory, and more. Each has advocates, each has evidence of success, and each has conditions under which it works best. The challenge for transformation leaders is not finding a framework it is choosing the right one for the specific change at hand, and knowing how to adapt it when the theory meets organizational reality.