公司规模
SME
地区
- America
国家
- United States
产品
- Alteryx Designer
技术栈
- API
- Data Blending
- Application Design
实施规模
- Enterprise-wide Deployment
影响指标
- Productivity Improvements
- Innovation Output
技术
- 应用基础设施与中间件 - API 集成与管理
- 分析与建模 - 数据即服务
适用行业
- Software
适用功能
- 产品研发
用例
- 实时定位系统 (RTLS)
- 质量预测分析
服务
- 数据科学服务
- 软件设计与工程服务
关于客户
Continuus Technologies 是一家专门从事商业智能和数据管理解决方案的公司。该团队由数据爱好者和 Alteryx Partners 组成,他们热衷于利用技术解决复杂问题。在这种情况下,该团队受到 2018 年国家公园周的启发,创建了一个解决方案,帮助用户找到他们所在位置附近的公园和纪念碑。该团队包括商业智能工程师 Jake Van Hecke 以及合作者 Chrystal Kingstad 和 Rachel Burge。他们也是保护的倡导者,并相信利用他们的技能和技术来帮助保护和欣赏美国的自然资源。
挑战
Continuus Technologies 的团队发现,他们需要一个搜索引擎,根据用户的位置、公园的特点和预期的天气状况提供有关国家公园和纪念碑的信息。现有的解决方案,例如国家公园管理局的“查找公园”功能,仅提供州级位置信息,而不提供准确或最新的天气预报。谷歌地图的成功取决于每个邮政编码的数据质量,而这些数据质量并不一致。该团队试图利用他们作为 Alteryx 合作伙伴、数据爱好者和保护倡导者的专业知识来创建一种解决方案,使其他人能够保护和欣赏美国的自然资源。
解决方案
Continuus Technologies 团队使用 Alteryx Designer 开发了一个解决方案,该解决方案结合了国家公园管理局数据 API 和 Dark Sky 天气 API。该解决方案有三个主要组件:API 开发、数据混合和应用程序设计。对于 API 开发,团队配置了一个批处理宏,该宏利用 API 调用国家公园管理局 (NPS) 网站和 Dark Sky 网站来获取天气数据。然后将这些 API 中的数据混合在一起,将公园和露营地数据与经纬度相结合并与天气预报相匹配。该团队还使用公式工具标记用户可能想要搜索的公园描述信息。应用程序界面设计为一个简单的搜索工具,带有一个下拉菜单和文本框,供用户输入信息和首选项。
运营影响
Case Study missing?
Start adding your own!
Register with your work email and create a new case study profile for your business.
相关案例.
Case Study
Factor-y S.r.l. – Establishes a cost-effective, security-rich development environment with SoftLayer technology
Factor-y S.r.l., a web portal developer, was faced with the challenge of migrating its development infrastructure to a reliable cloud services provider with highly responsive technical support. The company needed a solution that would not only provide a secure and reliable environment but also support its expansion by providing resources to create and deliver innovative offerings.
Case Study
Darwin Ecosystem: Accelerating discovery and insight through cutting-edge big data and cognitive technologies
Darwin Ecosystem was founded with a unique vision of harnessing chaos theory mathematics to uncover previously hidden connections in unstructured data. The company’s algorithms can look at all the data generated by any source (such as news, RSS feeds and Twitter), and analyze how a specific set of concepts within that data are evolving over time. This is particularly valuable in situations such as business and competitive intelligence, social research, brand monitoring, legal discovery, risk mitigation and even law enforcement. A common problem in these areas is that a regular web search will only turn up the all-time most popular answers to a given question – but what the expert researcher is actually interested in is the moment-tomoment evolution of the data available on that topic. Darwin’s algorithm is computationally intensive, and the sources of data it correlates can be vast. To bring its benefits to a larger commercial audience, Darwin needed to find a way to make it scale.
Case Study
Zend accelerates, simplifies PHP development
Zend Technologies, a major contributor to the PHP open source community, needed to keep pace with emerging trends such as mobility, agile development, application lifecycle management and continuous delivery. The company needed to provide the right tools to the worldwide community of PHP developers. The challenge was to support enterprise-class capabilities from end to end, including mobile, compliance and security. The pace of business required developers to show results fast across a variety of devices without compromising quality or security.
Case Study
Delivering modern data protection with cloud scale backup from Cobalt Iron and IBM
Organizations are struggling to modernize their legacy data protection environments in the face of growing demands around new infrastructure, new applications, and budget consolidation. Virtualization and modern application development processes have significantly outgrown legacy backup architectures. In response, infrastructure teams have created multiple backup solution types to handle the varying SLAs (performance, scale, cost) required by their business sponsors. However, the sheer number and variety of solutions in this uncontrolled expansion creates huge amounts of work, threatening to overwhelm the IT team in many organizations. Today, developers may add new applications and virtual server instances by the hundreds per day without accounting for the restrictions of the existing backup infrastructure. They leverage the cloud for immediate compute and storage resources, yet rarely communicate succinctly with corporate IT to ensure that the appropriate data protection services are in place.
Case Study
Achieving near limitless scalability and flexibility with data in the cloud
Web-based publishing platform SpaceCraft found that as its client base grew, it was spending an increasing amount of time managing its databases, distracting its focus from product innovation. As its user base rapidly expanded, data volumes at SpaceCraft began to rise dramatically. Along with their main focus on maintaining and further developing a great platform for web publishing, the SpaceCraft team had the added pressure of managing the increasing quantities of data while ensuring ongoing high performance for clients.
Case Study
nViso SA – Delivers emotion recognition solutions worldwide with a scalable SoftLayer hosting solution
nViso SA, a company that provides emotion recognition solutions, was in need of a high-performance cloud hosting infrastructure. The company wanted to extend its services to a global customer base. The challenge was to find a solution that could handle the demands of their growing customer base and the need for high performance and reliability.