技术
- 分析与建模 - 机器学习
- 分析与建模 - 预测分析
适用行业
- 教育
- 设备与机械
适用功能
- 销售与市场营销
- 仓库和库存管理
用例
- 拣选/分拣/定位
- 时间敏感网络
服务
- 数据科学服务
关于客户
Databricks 是一家以帮助数据团队解决世界上最大的挑战而自豪的企业。它由 Apache Spark、Delta Lake 和 MLflow 的原始创建者于 2013 年创立。 Databricks 基于云中的现代 Lakehouse 架构构建,结合了最好的数据仓库和数据湖,为数据和人工智能提供开放且统一的平台。该公司迅速扩张,导致需要集中和记录的数据。然而,数据孤岛出现在企业周围,包括营销团队,数据存储在自己的数据仓库中。
挑战
Chris Klaczynski 是 Databricks 的营销分析经理,其任务是支持推动管道生成、扩大数据库和提高投资回报率等主要营销目标。然而,随着 Databricks 的迅速扩张,对集中化和记录数据的需求变得越来越明显。数据孤岛出现在企业周围,包括克里斯的营销团队,数据存储在自己的数据仓库中。为克里斯新建的仪表板提供可靠、及时的数据对于营销运营保持平稳运行至关重要。然而,如果没有专门的工程资源,并且面对迅速扩大的营销团队,根据需求进行扩展几乎是不可能的。 Databricks 的传统数据仓库面临着许多挑战,包括 Salesforce 和 Marketo 管道的问题、将数据本地附加到现有表的问题,以及总是破坏管道的架构更改,导致中断和陈旧、不可信的数据。
解决方案
Chris 开始寻找一种低代码、交钥匙解决方案,为他的团队提供所需的可靠管道。他决定了一个三点战略:走出数据工程“丛林”,进入洞察和预测分析领域,聘请分析师和数字中小企业,而不是数据工程师和 DevOps,实现数据管道自给自足,并利用 Delta 和 AutoML 。 Fivetran 作为满足 Chris 数据管道需求的解决方案立即脱颖而出。在试用该产品时,设置快速而简单。 Chris 的团队现在使用 Fivetran 从所有核心营销源系统引入数据:Marketo、Salesforce、Facebook Ads 和 Google Analytics。到达湖屋后,Chris 的团队将数据与产品和中心团队的其他来源结合起来,以有意义的方式对其进行转换,以运行数据科学、机器学习并生成重要的 Tableau 仪表板以进行分析。
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
Smart Water Filtration Systems
Before working with Ayla Networks, Ozner was already using cloud connectivity to identify and solve water-filtration system malfunctions as well as to monitor filter cartridges for replacements.But, in June 2015, Ozner executives talked with Ayla about how the company might further improve its water systems with IoT technology. They liked what they heard from Ayla, but the executives needed to be sure that Ayla’s Agile IoT Platform provided the security and reliability Ozner required.
Case Study
IoT enabled Fleet Management with MindSphere
In view of growing competition, Gämmerler had a strong need to remain competitive via process optimization, reliability and gentle handling of printed products, even at highest press speeds. In addition, a digitalization initiative also included developing a key differentiation via data-driven services offers.
Case Study
Predictive Maintenance for Industrial Chillers
For global leaders in the industrial chiller manufacturing, reliability of the entire production process is of the utmost importance. Chillers are refrigeration systems that produce ice water to provide cooling for a process or industrial application. One of those leaders sought a way to respond to asset performance issues, even before they occur. The intelligence to guarantee maximum reliability of cooling devices is embedded (pre-alarming). A pre-alarming phase means that the cooling device still works, but symptoms may appear, telling manufacturers that a failure is likely to occur in the near future. Chillers who are not internet connected at that moment, provide little insight in this pre-alarming phase.
Case Study
Premium Appliance Producer Innovates with Internet of Everything
Sub-Zero faced the largest product launch in the company’s history:It wanted to launch 60 new products as scheduled while simultaneously opening a new “greenfield” production facility, yet still adhering to stringent quality requirements and manage issues from new supply-chain partners. A the same time, it wanted to increase staff productivity time and collaboration while reducing travel and costs.
Case Study
Integration of PLC with IoT for Bosch Rexroth
The application arises from the need to monitor and anticipate the problems of one or more machines managed by a PLC. These problems, often resulting from the accumulation over time of small discrepancies, require, when they occur, ex post technical operations maintenance.
Case Study
Robot Saves Money and Time for US Custom Molding Company
Injection Technology (Itech) is a custom molder for a variety of clients that require precision plastic parts for such products as electric meter covers, dental appliance cases and spools. With 95 employees operating 23 molding machines in a 30,000 square foot plant, Itech wanted to reduce man hours and increase efficiency.