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How Center6 Empowers their Customers with White Labeled Analytics
技术
- 分析与建模 - 实时分析
- 分析与建模 - 数据即服务
适用行业
- 建筑与基础设施
适用功能
- 离散制造
- 商业运营
用例
- 预测性维护
- 工厂可见化与智能化
服务
- 数据科学服务
- 系统集成
挑战
Center6 是一家领先的数据和信息服务提供商,一直在帮助北美发展最快的房屋建筑商和开发商通过可视化分析、仪表板和移动报告优化运营。然而,他们的客户希望使用该产品做更多事情,并表示需要视觉效果出色的报告,以提供获取关键业务洞察所需的视图和交互性。更重要的是,他们的客户要求 Center6 提供端到端解决方案,以便他们可以保留在单个应用程序中,最终确保卓越、更无缝的用户体验。为了满足客户的需求,Center6 开始研究各种 BI、分析和数据可视化供应商,例如 Tableau、QlikView、Microstrategy 和 Microsoft Power BI。
关于客户
Center6 是一家领先的数据和信息服务提供商,自 2009 年开始运营。该公司通过可视化分析、仪表板和移动报告,帮助北美增长最快的房屋建筑商和开发商做出更明智、更明智的决策,以优化他们的整个运营。他们的直观数据分析报告套件 informXL 可解决房屋建筑商今天面临的复杂业务问题。这确保他们能够更好地管理业务关键数据。Center6 首先指导建筑商完成 ERP 软件选择、实施和系统转换的复杂工作。后来,他们发现建筑商数据的增长和行业缺乏专用智能解决方案,因此专注于房屋建筑商的数据分析。他们现在通过商业智能和分析软件为客户提供更好的数据洞察,以便他们能够为其特定业务做出最佳决策。
解决方案
Center6 选择 Dundas BI 作为其首选产品。他们为 Dundas BI 贴上白色标签,并将其命名为 informXL Dashboard。这使 Center6 能够通过嵌入 Dundas BI 来增强其现有产品的分析层。Center6 非常喜欢 Dundas BI 能够实时直接连接到各种数据源(如 Salesforce、Google Analytics 和 AVID),以及能够创建自定义功能(如使用注入的 JavaScript 收集特殊注释)。Center6 大量使用 Dundas BI 独特的图层设计器来创建详细的帮助叠加层,以便在悬停时显示有关特定仪表板的自定义信息。同样的功能使他们能够在仪表板中实现弹出注释,以进一步解释分析。Dundas BI 强大的向下/向上钻取功能非常有效,可让 Center6 的客户确定其开发的哪些阶段导致延迟,并为他们提供其他细粒度、详细级别的报告。
运营影响
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.