IT Investment and Portfolio Management (24) IT-Related Business Risk (15) Top Performers (20) , Companies create customer value with analytics by wrapping them around core offerings to reinforce, streamline, or enrich the usage or experience of the offering; companies can apply data wrapping to any customer touchpoint. Regardless of where data wrapping falls along the customer journey, two key capabilities are required to generate customer value: analytics and customer intimacy. These , The components were organized in three layers: digital front-end services, insurance services, and data- and analytics-related services supporting evidence-based decisions (such as for portfolio optimization). Munich Re leveraged knowledge of its business customers for evidence-based decision making during development of new B2B2C offerings. In , Data-driven transformation is a do-or-die decision for organizations, with many organizations still failing to successfully transform. To achieve data-driven transformation, a company must establish data-oriented “data communities” and link them with its domain-specific non-data-oriented communities. As the two types of communities connect, they collaborate, transfer knowledge, and change , To create new types of value, organizations cannot just leverage existing strengths; they must also innovate to leverage powerful, readily accessible technologies. Dynamic capabilities underpin the ability to develop and sustain competitive advantage. Companies with strong dynamic capabilities are able to pivot during a crisis, develop new digital offerings, and experiment with new digital , While organizations generally recognize data’s potential to drive business value, many still struggle to realize substantial financial returns from their data monetization strategies. Beyond selecting a strategy, we identified a more critical differentiator for success: data monetization impact. This briefing explores the strategy-specific practices that enable organizations to achieve this .