下载PDF
Super Dispatch Enhances Revenue Impact with Fivetran and Modern Data Stack
技术
- 分析与建模 - 大数据分析
- 平台即服务 (PaaS) - 应用开发平台
适用行业
- 建筑物
- 建筑与基础设施
适用功能
- 物流运输
- 销售与市场营销
用例
- 自主运输系统
- 时间敏感网络
服务
- 培训
挑战
Super Dispatch 是一个汽车运输在线平台,在吸引新用户和优化活跃用户体验方面面临挑战。该公司的数据是分散的,分散在各种数字资产、业务系统和营销工具中。员工依赖公司内部共享的电子表格来实现不同目的,例如营销、计费和销售。数据是从业务系统或软件即服务 (SaaS) 平台单独下载并在 Excel 中进行分析。这对营销、销售和运营分析行业的资深人士阿曼·马尔霍特拉(Aman Malhotra)提出了重大挑战,他被聘用是为了通过使用数据来提高用户激活、保留和货币化。
关于客户
Super Dispatch 是一家成长阶段的初创公司,提供汽车运输在线平台。它是承运人和托运人更快、更智能、更轻松地运输汽车所需的一切的一站式商店。 Super Dispatch 平台以尖端技术和一流软件为后盾,提供先进的承运人和托运人体验,节省时间、金钱和资源,使客户能够专注于在更短的时间内使用更少的资源运输更多的汽车。该公司的目标是吸引尽可能多的新用户,并尽快优化活跃用户的体验,以获得动力。
解决方案
Aman Malhotra 着手从头开始为 Super Dispatch 构建新的数据架构。她的目标是创建一个数据管道,提供单一事实来源,简单,可供公司内具有不同数据分析背景的用户访问,并存储在单一位置。这个新架构的一个关键组件是 Fivetran,这是一种数据集成服务,具有广泛的 SaaS 平台连接器库。 Fivetran 近乎实时地自动从 Salesforce、MailChimp、Sendgrid、Intercom、Webhooks 和 Braintree 提取数据,并将其加载到 Amazon Redshift 数据仓库中。然后,使用该公司的商业智能工具 Tableau 来分析数据,并通过实时仪表板、图表、图形和其他可视化效果,以易于理解的格式将其呈现给业务用户。从这些数据中获得的见解用于制定数据驱动的决策并为正在进行的活动提供信息,优化结果并推动客户行为。
运营影响
数量效益
相关案例.
Case Study
Energy Saving & Power Monitoring System
Recently a university in Taiwan was experiencing dramatic power usage increases due to its growing number of campus buildings and students. Aiming to analyze their power consumption and increase their power efficiency across 52 buildings, the university wanted to build a power management system utilizing web-based hardware and software. With these goals in mind, they contacted Advantech to help them develop their system and provide them with the means to save energy in the years to come.
Case Study
IoT System for Tunnel Construction
The Zenitaka Corporation ('Zenitaka') has two major business areas: its architectural business focuses on structures such as government buildings, office buildings, and commercial facilities, while its civil engineering business is targeted at structures such as tunnels, bridges and dams. Within these areas, there presented two issues that have always persisted in regard to the construction of mountain tunnels. These issues are 'improving safety" and "reducing energy consumption". Mountain tunnels construction requires a massive amount of electricity. This is because there are many kinds of electrical equipment being used day and night, including construction machinery, construction lighting, and ventilating fan. Despite this, the amount of power consumption is generally not tightly managed. In many cases, the exact amount of power consumption is only ascertained when the bill from the power company becomes available. Sometimes, corporations install demand-monitoring equipment to help curb the maximum power demanded. However, even in these cases, the devices only allow the total volume of power consumption to be ascertained, or they may issue warnings to prevent the contracted volume of power from being exceeded. In order to tackle the issue of reducing power consumption, it was first necessary to obtain an accurate breakdown of how much power was being used in each particular area. In other words, we needed to be able to visualize the amount of power being consumed. Safety, was also not being managed very rigorously. Even now, tunnel construction sites often use a 'name label' system for managing entry into the work site. Specifically, red labels with white reverse sides that bear the workers' names on both sides are displayed at the tunnel work site entrance. The workers themselves then flip the name label to the appropriate side when entering or exiting from the work site to indicate whether or not they are working inside the tunnel at any given time. If a worker forgets to flip his or her name label when entering or exiting from the tunnel, management cannot be performed effectively. In order to tackle the challenges mentioned above, Zenitaka decided to build a system that could improve the safety of tunnel construction as well as reduce the amount of power consumed. In other words, this new system would facilitate a clear picture of which workers were working in each location at the mountain tunnel construction site, as well as which processes were being carried out at those respective locations at any given time. The system would maintain the safety of all workers while also carefully controlling the electrical equipment to reduce unnecessary power consumption. Having decided on the concept, our next concern was whether there existed any kind of robust hardware that would not break down at the construction work site, that could move freely in response to changes in the working environment, and that could accurately detect workers and vehicles using radio frequency identification (RFID). Given that this system would involve many components that were new to Zenitaka, we decided to enlist the cooperation of E.I.Sol Co., Ltd. ('E.I.Sol') as our joint development partner, as they had provided us with a highly practical proposal.
Case Study
Intelligent Building Automation System and Energy Saving Solution
One of the most difficult problems facing the world is conserving energy in buildings. However, it is not easy to have a cost-effective solution to reduce energy usage in a building. One solution for saving energy is to implement an intelligent building automation system (BAS) which can be controlled according to its schedule. In Indonesia a large university with a five floor building and 22 classrooms wanted to save the amount of energy being used.
Case Study
Powering Smart Home Automation solutions with IoT for Energy conservation
Many industry leaders that offer Smart Energy Management products & solutions face challenges including:How to build a scalable platform that can automatically scale-up to on-board ‘n’ number of Smart home devicesData security, solution availability, and reliability are the other critical factors to deal withHow to create a robust common IoT platform that handles any kind of smart devicesHow to enable data management capabilities that would help in intelligent decision-making
Case Study
Splunk Partnership Ties Together Big Data & IoT Services
Splunk was faced with the need to meet emerging customer demands for interfacing IoT projects to its suite of services. The company required an IoT partner that would be able to easily and quickly integrate with its Splunk Enterprise platform, rather than allocating development resources and time to building out an IoT interface and application platform.