E-Tabs 如何与 Dundas 合作打造极具吸引力的定制报告体验
公司规模
Mid-size Company
地区
- Europe
国家
- United Kingdom
产品
- Dundas BI
- E-Tabs software
技术栈
- Data Visualization
- Report Automation
- JavaScript
实施规模
- Enterprise-wide Deployment
影响指标
- Productivity Improvements
- Customer Satisfaction
技术
- 应用基础设施与中间件 - 数据可视化
- 应用基础设施与中间件 - 数据交换与集成
适用行业
- Software
适用功能
- 产品研发
- 销售与市场营销
用例
- 预测性维护
服务
- 数据科学服务
- 软件设计与工程服务
关于客户
E-Tabs 是一家总部位于英国伦敦的软件公司，开发并提供高度可定制的数据可视化和报告自动化软件和服务，专为市场研究行业量身定制。25 多年来，E-Tabs 一直致力于倾听和了解客户的需求，并不断追求在报告和图表、在线仪表板和信息图表领域的创新。因此，他们从一家小公司发展成为全球数据可视化和报告软件巨头，为 40 多个国家的客户提供服务。E-Tabs 直接与市场研究机构合作，这些机构委托进行调查，并要求他们提供仪表板或报告的任意组合作为交付给客户或用于独立分析。
挑战
E-Tabs 是一家开发并提供高度可定制的数据可视化和报告自动化软件和服务的软件公司，该公司需要扩展其服务以满足市场研究行业客户的独特需求。该公司需要一种解决方案，能够处理行业特定的功能，例如统计假设/显著性检验和低基数抑制，并准备最能支持特定市场研究分析的仪表板和报告。挑战在于找到一个仪表板供应商，能够提供与 E-Tabs 一样定制且响应迅速的解决方案。该公司需要一种分析解决方案，让其经验丰富的数据可视化团队能够利用该解决方案，以确保其客户能够提供仪表板和报告，这些仪表板和报告能够提供信息、吸引他们并最终使他们能够专注于研究。
解决方案
E-Tabs 选择 Dundas BI 作为能够满足其需求的平台。Dundas BI 在竞争中脱颖而出，因为它既可以执行 ETL 活动，又可以提供令人惊叹的数据可视化，提供无限的定制潜力，并提供以客户为中心的实践支持方法和个性化支持。Dundas BI 的功能（例如巨大的平台灵活性、动态行级安全性、多租户部署、预测和高级数据分析、数据准备和连接以及无与伦比的供应商支持）是 E-Tabs 决定选择它的关键。借助 Dundas BI，E-Tabs 能够定制和扩展平台，以构建其客户所设想的内容，管理安全性和跟踪使用情况，为每个客户创建个性化的品牌体验，显示丰富的交互式状态指示器以提供即时的视觉反馈，并连接到各种市场研究调查引擎。
运营影响
数量效益
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.
