分析工具

我们相信,最佳战略由数据驱动,而客户数据的真正潜力尚未开发。OC&C的各支团队都配有分析学专家,以发挥分析工具、人工智能和大数据的力量,并将此转变为明确、可操作的业务战略决策洞察。

我们的分析团队处理最复杂的战略问题,包括: 

  • 忠诚度和客户细分
  • 种类和定价
  • 产量优化
  • 营销有效性
  • 劳动力优化
  • 位置和网络策略
  • 以及许多其他方面

所有这些问题都需要分解大量数据才能触及问题核心。我们运用先进的分析技术和创新方法(如人工智能和机器学习),加快了工作时间。为此,我们将分析学专长列为团队的重要方面,将强大的分析能力与商业核心相结合,使客户从中获益。

对于寻求拓展自身分析能力的组织,我们制定了利用分析工具和人工智能的前沿战略,包括:

  • 流程、组织设计、数据文化和技术栈评估
  • 机会识别
  • 实施路线图和成功条件
通过运用分析工具和人工智能,我们帮助客户认识数据的潜能

我们的思考

Placing the right bets

Retailers have a variety of levers at their disposal to drive commercial performance – from price and promotions to range and space


Putting analytics to work

Big Data and Advanced Analytics have been 'hot' topics for some time now. It has become clear that the most successful companies spend more on advanced analytics and, as a result, outperform their peers


Consultant 2020: how analytics is changing graduate skillsets

Changing graduate skillsets


Partnering to win in retail's digital age

For the last three years we have been living in the era of M-commerce: smartphones now represent over 50% of all online retail transactions and retail search queries across the UK, France and Germany


Go figure Workforce Analytics

Lots has been written about Amazon Go and reinventing grocery, Wholefoods, and addressing perceived customer pain points. And yet if you talk to big retailers in the UK their #1 concern is labour cost, coming huge labour cost inflation, and poor labour productivity.


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