Arpeely 是一家广告技术初创公司，需要通过一个小型本地团队在全球范围内扩展其创新数据科学平台。

意大利领先银行 Banca Mediolanum 面临着分析和利用社交媒体等各种来源的大量数据来改进其营销活动的挑战。

音乐行业已经转向数字化，导致需要处理大量数据才能支付版税。 BMG 的本地基础设施无法满足可扩展性和处理要求。

7Learnings 是一家总部位于柏林的初创公司，利用机器学习工具帮助零售商优化定价。他们需要一种解决方案来存储和分析大量数据以做出准确的预测。

90 Seconds 在其托管数据中心的内容交付和存储方面面临可扩展性和成本问题。他们需要一个解决方案来支持其快速扩张和对云视频制作不断增长的需求。

AB Tasty 之前的数据架构无法处理每天生成的大量交易事件，限制了他们向客户提供实时数据洞察的能力。

交通运输是二氧化碳排放增长最快的来源，导致气候变化。 Acciona Mobility 旨在通过提供由可再生能源驱动的电动滑板车共享服务，实现交通部门脱碳并减少交通拥堵。

Before implementing Looker in 2014, Simply Business did not have a centralized data platform or process, which resulted in challenges bringing siloed information together and accessing consistent metrics. Without a single source of truth, many decision-makers across the organization spent their time manually creating their own reports. However, many of these reports and metrics didn’t match up, which led to confusion and mistrust of data, and ultimately delayed decisions and action. The insurance brokerage needed a single source of truth to unify data across its multiple applications. Additionally, since insurance is a highly-regulated industry, it was critical that information be consistent, auditable, and secure.

Raisin, a successful Fintech start-up in Germany, was facing challenges with data management. Much of the company's data was stored in Excel spreadsheets, making it difficult to access and utilize effectively. The rapid growth of the company and management’s vision of a strong data culture necessitated a streamlined approach to data handling. The company's vision was to make data accessible to every employee, enabling them to make as many decisions as possible with data support. However, they lacked the necessary infrastructure to achieve this. They needed a self-service platform that would provide a unified view of all data sources and allow each employee to obtain easy access to the relevant insights.

Waterscan, a leading provider of commercial water management services in the United Kingdom, was facing challenges with its existing business intelligence system. The company was heavily reliant on Excel for its operations, which was proving to be an inhibiting factor for growth. The lack of a business intelligence tool or data model meant that Waterscan teams were constantly uploading and downloading Excel documents to and from their Waterline product to do their jobs. The static nature of Excel reports made it difficult and time-consuming to update numbers with the data from Waterline. Development of new reports or amendments to existing reports used to take up to 4 weeks due to development sprint cycles and release dates. Each new report or amendment would cost Waterscan more than $2,400. Waterscan needed a modern data solution that would save their team time and money in development resources, provide customers with up-to-the-minute insights, and scale as their customer base and demand for data grew.

In early 2014, Dollar Shave Club, a small e-commerce business, was struggling to make use of the vast amount of data they were collecting. They were up against established retail giants in the men's grooming products industry and needed to leverage their data to gain a competitive edge. However, they were facing a bottleneck problem where only a few people could access the data, and everyone else had to wait to get their questions answered. This was causing delays and inefficiencies in their operations. For instance, any reports they needed would have to go through a developer named Juan, which was a time-consuming process. They were also using traditional BI tools, which were not able to fully utilize their data.

Aclima 着手测量、绘制地图并更好地了解美国城市的空气质量，但以前从未进行过地面实时测量。

AgrodatAi 面临着集中哥伦比亚农业分散信息并提供集中服务的挑战。他们还必须克服农村地区缺乏互联网覆盖和计算机访问有限的问题。

Altavia 是一家零售营销和出版公司，需要更新其遗留基础设施以提高性能和可靠性。 ERP 系统每周都会崩溃，某些地点的客户服务速度比其他地点慢。

AnyMind Group 需要智能工作场所应用程序，使不同国家的员工能够有效协作并支持快速扩张到亚洲新市场。他们还需要稳定且可扩展的基础设施来满足客户的期望。

即使实时工具正在将协作提升到一个新的水平，许多公司仍然依赖拼凑在一起的本地系统进行文档管理。

自 2014 年推出以来，Apester 的受欢迎程度呈爆炸式增长，每月吸引约 1 亿独立用户。然而，其现有的商业智能和数据仓库系统显示出分析能力紧张和限制的迹象。 Apester 希望利用其不断增长的客户群并获得更多见解，而不必担心规模或许可费用。

Arcules 在处理大量视频和物联网数据时面临延迟和存储方面的挑战。他们还需要提高安全性并消除基础设施管理任务。

Area 1 安全需要针对针对性网络钓鱼攻击采取主动解决方案

加拿大金融机构 ATB Financial 需要对其旧数据平台进行现代化改造，以支持依赖实时数据分析和洞察的未来业务需求。现有的分析流程是临时且手动的，需要多个数据副本和大量操作才能生成报告。

Auka 是一家金融科技公司，需要建立一个安全可靠的支付平台，该平台可以快速扩展，以适应挪威和整个欧洲不断增长的移动交易量。

Banco de Crédito del Perú (BCP) 希望增加秘鲁金融市场的交叉销售机会和数字销售。他们面临的挑战是让客户的购买流程变得更加轻松，并减少保险购买流程中表格造成的摩擦。

第三方福利管理公司 Benefício Fácil 需要一种可靠且简单的方法，以便客户订购和接收交通卡等员工福利。该公司利用Google Cloud构建了快速高效的管理和分发平台。

Bepro 是一家足球分析服务公司，需要一种解决方案来高效记录和分析全球 500 多支球队的足球比赛。

过去几年，一系列新技术和监管变革正在改变巴西的金融业。区块链的概念增加了金融交易的安全性和敏捷性。该国中央银行（BC）部署的开放银行系统允许金融机构之间在用户同意的情况下进行平台集成和数据共享。最近，同样由 BC 推出的 Pix 创造了一种即时、免费、24/7 的新支付方式，震撼了市场。

33Bondi 面临的挑战是在紧迫的时间内向客户提供创新的解决方案。

市场网站上第三方卖家的兴起导致假冒和歪曲产品增加，给消费者造成伤害并损害品牌声誉。

99.co 需要增强用户体验并拓展新市场，同时改善人才招聘。

AB Tasty 已达到其技术基础设施的极限，需要一个新的架构来处理业务运营的规模。

abastece-aí 是一家拥有 3600 万客户的金融科技公司，缺乏结构化数据环境来交叉引用不同来源的数据并分析较长的历史时期。获取数据的延迟阻碍了运营，公司需要自动化仪表板。