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  "documentTitle": "Ninety-Day Plan Data Digital Strategy",
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  "notes": "Mentions BCG's 2021 Data Capability Maturity Assessment (DACAMA).",
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      "text": "Defining a North Star typically takes only 60 to 90 days, and it is time well spent.",
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      "text": "In fact, correctly sequencing the use cases is as important for success as is implementing the data and architecture initiatives. Eventually, the sequencing discipline allows a company to move beyond the foundational use cases and roll out use cases that help differentiate it in the market.",
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      "text": "Defining a North Star typically takes only 60 to 90 days, and it is time well spent. The exercise greatly accelerates a data and digital transformation, letting a company realize its business goals sooner.",
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      "text": "A company then needs to sequence its foundational use cases on the basis of two considerations: what will generate value quickly and continually, and what is feasible from a data and architecture point of view. The real art of sequencing is in choosing the use cases—and the accompanying data and architecture upgrade initiatives—that will achieve early results fast while laying the groundwork to accelerate future use cases.",
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      "text": "Companies embarking on a data and digital transformation are, in effect, trying to compete in a whole new way. And to do so, they need to understand what’s required—the table stakes, so to speak—when rivals already enjoy a high level of data and architecture maturity.",
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      "text": "To better understand how this process helps companies compete, let’s consider the three data elements of the North Star in the context of a clothing e-tailer.",
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      "text": "One reason for falling short is that companies are often unclear about the value proposition of their data initiatives. Consequently, they take tentative, incremental steps, which slows their progress. Another reason is that they lack creative strategies for leveraging data modernization opportunities. Moreover, many companies suffer from a corporate culture that resists adopting data-driven decision making.",
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      "text": "Many companies suffer slow, costly data and digital transformations that delay or even prevent their businesses from achieving their goals and capturing value. The reason is that very often, a company’s business and IT sides each pursue their own data and digital transformation in parallel, rather than coordinate the planning and sequencing of their initiatives.",
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      "text": "BCG's 2021 Data Capability Maturity Assessment (DACAMA), for which we surveyed more than 1,100 companies worldwide, showed that most companies fail to meet their data maturity goals.",
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      "text": "Key to swiftly achieving the goals of a data and digital transformation and unleashing its value—and an important reason for bringing the business and IT sides together—is explicitly matching the business strategy to the company’s data assets and architecture. Unfortunately, a major problem for many companies is that they lack vital data capabilities and are therefore constrained by a subpar understanding of their data.",
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      "text": "To remedy the disconnect, a company should have both sides take a step back from their transformation initiatives and jointly define a North Star. This exercise entails examining the organization’s broader digital ambitions as well as identifying what we call the data trinity: data use cases that are important to the business, the data assets that power the use cases, and the data and technology architecture that makes the data assets accessible. The exercise also calls for sequencing the use cases, as well as the data projects and architecture modernization initiatives necessary to implement them.",
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      "text": "Defining a North Star is a way to remedy a low level of data maturity. (See Exhibit 1.) By continuously and iteratively identifying and prioritizing data use cases, mapping and organizing data assets, and selectively updating the architecture, a company matures its data capabilities, thereby accelerating its data and digital transformation.",
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      "text": "Unfortunately, many companies get bogged down discovering the requirements. But that process need only take 60 to 90 days. To speed the process, we identified 10 to 15 foundational use cases that companies must implement to contend in their industry. In fashion e-commerce, for example, the basic use cases include demand forecasting, personalization, and real-time order fulfillment estimation.",
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      "text": "A Ninety-Day Plan to Build a Data and Digital Strategy",
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      "text": "Accelerating Time to Value",
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