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  "documentTitle": "Ninety-Day Plan Data Digital Strategy",
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      "text": "A rule of thumb for sequencing use cases is that the first wave should involve improving about 80% of the data required for all of the company's foundational use cases.",
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      "text": "Then—and this is critical—the e-tailer sequenced the rollout of use cases so that, to the extent possible, the first wave leveraged and improved data assets that would benefit subsequent use cases, accelerating their deployment and the business impact. (See Exhibit 3.)",
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      "text": "The company's identified owners were then responsible for these various data assets and improving their quality to implement specific use cases. For example, to fuel its personalization use case, the company needed to know where to find customers' profile data, as well as the company's order data, stock data, and product and pricing data—and determine the data's quality.",
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      "text": "With this goal of a decoupled architecture in mind, defining a North Star requires selectively updating the architecture. This process requires identifying and mapping the reference architecture needed to access and use the data assets. In the case of the clothing e-tailer, mapping the reference architecture meant beginning with a generic retail architecture and modifying it to eliminate the components not relevant to clothing e-tailers (such as store management). The result was a fit-for-purpose architecture specific to the needs of clothing e-tailers.",
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      "text": "Architecture. Companies need to evolve their technology stack and move from a monolithic to a modular architecture in order to free their data and take advantage of new technologies. A data and digital platform is an architecture that lowers costs and improves speed and agility by decoupling front-end capabilities from data, liberating data from core transactional systems, and enabling smart business engines with machine learning and artificial intelligence (AI) capabilities.",
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      "text": "A rule of thumb for sequencing use cases is that the first wave should involve improving about 80% of the data required for all of the company's foundational use cases. The higher this percentage is, the faster subsequent waves of use cases can occur (eventually moving beyond foundational use cases to differentiating use cases).",
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      "text": "Source: BCG analysis. Note: CRM = customer relationship management.",
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      "text": "Exhibit 2 - Companies Should Prioritize the Use Cases That Will Generate Value Quickly and over Time",
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