下载PDF
Buildertrend: Maximizing Data Project Speed to Value
技术
- 分析与建模 - 预测分析
适用行业
- 建筑与基础设施
适用功能
- 销售与市场营销
- 商业运营
用例
- 预测性维护
服务
- 数据科学服务
挑战
Buildertrend 是一家领先的建筑项目管理软件公司,该公司希望通过利用数据科学来改善业务运营并提高住宅承包商的效率,从而颠覆住宅建筑行业。他们正在寻找一个数据科学平台,可以提高数据到洞察过程的速度和灵活性,实现全公司范围内的数据项目协作,并为数据科学家提供合适的工具和资源。该公司还热衷于自动执行重复性任务,改进文档实践,并增加模型中包含的数据量。他们的一个关键用例是减少客户流失,他们的目标是有效地定位有风险的账户,以大幅减少客户流失。
关于客户
Buildertrend 是一家领先的建筑项目管理软件公司,为住宅建筑商、改建商和住宅承包商提供服务。该公司成立于 2006 年,总部位于内布拉斯加州奥马哈,拥有 550 名员工,年收入增长率达 40-50%。该公司的使命是颠覆住宅建筑行业,数据在其战略中发挥着关键作用。他们有一个受敏捷原则启发的协作流程,定期进行冲刺规划和展示会议,使他们能够构思、协调项目优先级并以有意义的方式分享进度和结果。
解决方案
Buildertrend 在经过广泛的评估过程后,选择了 Dataiku 作为其数据科学平台。借助 Dataiku,他们能够大幅提高价值实现速度,将模型部署时间从三天缩短至三小时。该平台还使他们能够自动执行低价值任务,例如每周重新运行模型,并增强各个团队之间的协作。分析师可以轻松地在模型中输入信息、查看版本历史记录并在安全的环境中进行更改。在用例方面,Buildertrend 利用 Dataiku 创建了一个客户流失概率模型,该模型可自动标记有风险的账户,从而显著减少客户流失。他们还使用该平台开发了一个智能消息系统,该系统可识别在特定时间向特定用户推送的正确内容。
运营影响
数量效益
相关案例.
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
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.
Case Study
Bridge monitoring in Hamburg Port
Kattwyk Bridge is used for both rail and road transport, and it has played an important role in the Port of Hamburg since 1973. However, the increasing pressure from traffic requires a monitoring solution. The goal of the project is to assess in real-time the bridge's status and dynamic responses to traffic and lift processes.
Case Study
Bellas Landscaping
Leading landscaping firm serving central Illinois streamlines operations with Samsara’s real-time fleet tracking solution: • 30+ vehicle fleet includes International Terrastar dump trucks and flatbeds, medium- and light-duty pickups from Ford and Chevrolet. Winter fleet includes of snow plows and salters.
Case Study
Condition Based Monitoring for Industrial Systems
A large construction aggregate plant operates 10 high horsepower Secondary Crusher Drive Motors and associated conveyor belts, producing 600 tons of product per hour. All heavy equipment requires maintenance, but the aggregate producer’s costs were greatly magnified any time that the necessary maintenance was unplanned and unscheduled. The product must be supplied to the customers on a tight time schedule to fulfill contracts, avoid penalties, and prevent the loss of future business. Furthermore, a sudden failure in one of the drive motors would cause rock to pile up in unwanted locations, extending the downtime and increasing the costs.Clearly, preventative maintenance was preferable to unexpected failures. So, twice each year, the company brought in an outside vendor to attach sensors to the motors, do vibration studies, measure bearing temperatures and attempt to assess the health of the motors. But that wasn’t enough. Unexpected breakdowns continued to occur. The aggregate producer decided to upgrade to a Condition Based Monitoring (CBM) sensor system that could continually monitor the motors in real time, apply data analytics to detect changes in motor behavior before they developed into major problems, and alert maintenance staff via email or text, anywhere they happened to be.A wired sensor network would have been cost prohibitive. An aggregate plant has numerous heavy vehicles moving around, so any cabling would have to be protected. But the plant covers 400 acres, and the cable would have to be trenched to numerous locations. Cable wasn’t going to work. The aggregate producer needed a wireless solution.