Capgemini-数据共享能否加速实现超个性化的客户体验？（英）

Could data sharing accelerate the journey to hyper-personalized customer experience?Introduction2Could data sharing accelerate the journey to hyper-personalized customer experience?Putting the customer first to personalize their every experience is a common practice of how many organizations operate these days. But despite their best intentions, they don’t always succeed. Sometimes their products and services target the wrong customer at the worst moment. On other occasions a customer’s in-store interaction is a non-existent factor in their digital experience. Could the blame for these mishaps lie with incomplete, inaccurate, or siloed customer data?In order to hyper-personalize customer interactions without fail, organizations need an abundance of relevant data to make intelligent decisions based on where the customer is, what they want, and how they want to be approached. This is where data sharing and advanced data management can be pivotal in filling in the data gaps to attract and retain more customers. So what’s the right data strategy and how can organizations put it to use?Unlocking collaborative value in the data ageIf asked to state the most valuable asset in the world, many enterprises would instinctively say it’s data. The immense value of this asset has prompted organizations to look for new, better ways to access it without necessarily owning it.Data drives the modern world, but it’s often confined within organizational departments or brands that limit its potential. With important developments like the soon-to-be elimination of third-party cookies, there’s a greater push for sharing data externally. The best way to do this is by using a data-sharing ecosystem, which offers a secure and compliant solution for collaborative data analysis. Through this ecosystem, brands can gain valuable insights while adhering to evolving privacy regulations.3Could data sharing accelerate the journey to hyper-personalized customer experience?Understanding enterprise data sharingEnterprise data sharing, the intentional exchange of data between organizations for mutual benefit, allows businesses to share both structured and unstructured data. Examples include financial records, customer demographics, sensor readings, and social media interactions.Just like Uber connects riders with drivers, enabling travel without the need for car ownership, data-sharing partnerships can help organizations get to where they want to go without first acquiring the data needed to get there. They can create a secure and controlled network for data flow between different businesses for new insights and opportunities while respecting and protecting individual privacy. With shared data, enterprises can better understand customer preferences and behavior to focus on hyper-personalizing customer experiences. They can enable a unified customer view that creates a consistent experience across multiple touchpoints.Enterprise data sharing unlocks agility, innovation, and decision-m