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Profitable Sustained Growth Aided by AI and Machine Learning
技术
- 分析与建模 - 机器学习
- 分析与建模 - 预测分析
适用功能
- 商业运营
用例
- 质量预测分析
服务
- 数据科学服务
挑战
MinterEllison 是一家跨国顶级法律和专业服务公司，该公司希望在其 2025 战略中实现盈利和可持续发展。该公司在五个国家开展业务，需要更复杂、更具预测性的视角来了解可能发生的情况，尤其是在 COVID-19 疫情之后。该公司现有的数据分析平台不足以完成这项任务。该公司的数据和分析主管 Shaheen Saud 强调需要充分了解绩效和机会，这促使 MinterEllison 对其 IT 和数字服务基础设施进行了创新审视。
关于客户
MinterEllison 是一家跨国顶级法律和专业服务公司，成立于 1827 年，总部位于悉尼。如今，它是澳大利亚最大的律师事务所之一，通过综合办事处和关联办事处网络在香港、中国大陆、蒙古、新西兰和英国开展业务。该公司对其业务采取整体方法，旨在实现盈利和可持续增长。作为其 2025 战略的一部分，该公司将创新和数字化转型置于其运营的核心，以独特的方式与客户和员工合作。
解决方案
为了实现预测分析的目标，MinterEllison 采用了 DataRobot AI 云平台和自动化决策智能解决方案。该公司与 DataRobot 客户管理团队密切合作，设计了一个预测模型，该模型将为每个利益相关者提供有关可能发生的情况的见解。DataRobot AI 云是一个用户友好的直观平台，它允许非数据科学家，尤其是业务用户快速上手并开始快速交付结果。该公司以最少的时间、资源和资金投入成功采用了 AI 机器学习实验。
运营影响
数量效益
相关案例.
Case Study
IoT Data Analytics Case Study - Packaging Films Manufacturer
The company manufactures packaging films on made to order or configure to order basis. Every order has a different set of requirements from the product characteristics perspective and hence requires machine’s settings to be adjusted accordingly. If the film quality does not meet the required standards, the degraded quality impacts customer delivery causes customer dissatisfaction and results in lower margins. The biggest challenge was to identify the real root cause and devise a remedy for that.
Case Study
Prevent Process Inefficiencies with Automated Root Cause Analysis
Manufacturers mostly rely on on-site expert knowledge for root cause analysis. When the defective product is sent to lab for analysis, it is laborious and always a post-mortem one. Manufacturers that collect data from IT and OT also need a comprehensive understanding of a variety of professionals to make sense of it. This is not only time consuming, but also inefficiencient.
Case Study
Digitalising QC records
Ready-mix concrete batching plant with seasonal demand 6,000 to 12,000 cu.metre per month.Batch-cycle records for each truck is stored in paper format. 1000 to 2000 truck loads per month, generating ~2000 to 6000 paper records.QC anomaly detection in chemical batch-mixing is manual & time consuming.
Case Study
Automotive manufacturer increases productivity for cylinder-head production by 2
Daimler AG was looking for a way to maximize the number of flawlessly produced cylinder-heads at its Stuttgart factory by making targeted process adjustments. The company also wanted to increase productivity and shorten the ramp-up phase of its complex manufacturing process.
Case Study
CleanTelligent Enhances Janitorial Software Solutions with Infor Birst
CleanTelligent Software, a company that aids in-house and contracted janitorial teams in streamlining communication and improving quality control, faced a significant challenge. Their clients were demanding a more dynamic way to present reporting data. The company's software was primarily used to analyze and summarize a custodial team's performance, replacing a highly manual, paper-driven process. However, the initial differences between service providers in the janitorial industry are often unclear, and the cost of switching is comparatively low. This situation led to high client turnover, with a janitorial company's customer lifetime averaging four years or less. CleanTelligent needed to improve the customer experience with dynamic dashboards and reporting, retain customers through predictive analysis, capitalize on advanced analytics capabilities to build market differentiation, and improve client retention rates.
Case Study
Digitization of Pharmaceutical Packaging Machines: A Case Study of CVC Technologies
CVC Technologies, a leading manufacturer of pharmaceutical packaging machines, was seeking an end-to-end IoT solution to fully digitize their pharmaceutical liquid filling and capping machines. The company aimed to enhance the safety of their equipment, introduce digital maintenance capabilities, and gain visibility into machine status from anywhere at any time. The challenge was to find a solution that could provide real-time visibility into the machine's status, deliver direct cloud connectivity and digital services, and simplify all aspects of the machine's lifecycle, from engineering to maintenance.
