ESG 在行动:将可持续性 data 转化为商业智能
在过去十年中,可持续发展从企业声誉的边缘转向了业务绩效的核心。Artefact的新电子书《ESG在行动:如何将环境、社会和治理(ESG)data转化为商业智能》通过对雅高、乐冠、Tarkett、阿迪安、喜力、Siplec和申克等全球公司C-suite领导人的半结构化采访,以及经合组织和Artefact的可持续发展和data专家的见解,记录了这一转变。.
在过去十年中,可持续发展从企业声誉的边缘转向了业务绩效的核心。Artefact的新电子书《ESG在行动:如何将环境、社会和治理(ESG)data转化为商业智能》通过对雅高、乐冠、Tarkett、阿迪安、喜力、Siplec和申克等全球公司C-suite领导人的半结构化采访,以及经合组织和Artefact的可持续发展和data专家的见解,记录了这一转变。.
随着企业急于将 AI 投入运行,大多数企业发现,他们的 data 基础设施根本不是为自主推理而设计的。如今,多达 80% 的 AI 实施时间都花在了 data 处理和模式调整上,这是基础架构只为存储而非理解而建的结果。如果没有一个能够捕捉关系和意义的基础,代理虽然功能强大,但仍将是盲目的。随着 AI 代理成为企业工作流的积极参与者,data 查询的性质和规模也在不断发展。.
在过去的 18 个月里,'生成式 AI '主导了所有 C 级战略会议。但是,如果这已经是老生常谈的话题了呢? 在能源和工业领域,讨论正迅速从 GenAI 转向 Agentic AI。这不仅仅是一种渐进式的更新,而是一种新的范式,一种从简单地增强任务到完全重塑核心工业流程的范式。.
当 OpenAI 发布其新的由 ChatGPT 支持的浏览器 Atlas 时,它不仅仅是发布了另一款产品。它打开了一扇门,一扇通往下一个人机交互时代的门,一扇不可避免地通往广告业新领域的门。.
大多数公司还没有准备好用 AI 堆栈取代仪表板时代的 data 堆栈。Salesforce 最新发布的《Data 和分析现状》报告显示,84% 的 data 和分析领导者表示,在 AI 计划取得成功之前,他们的战略需要彻底改革。据领导者估计,他们的 data 中有 26% 是不可信的,只有 43% 报告了正式的 data governance 框架,约 50% 对自己生成和及时交付洞察力的能力没有信心。同时,70% 认为最有价值的洞察力被锁定在非结构化的 data 中。结论很简单:障碍不是热情,而是基础,在代理系统能够扩展之前,基础必须改变。.
Assortment optimization is a critical process in retail that involves curating the ideal mix of products to meet consumer demand while taking into account the many logistics constraints involved. The retailers need to make sure that they offer the right products, in the right quantities, at the right time. By leveraging data and consumer insights, retailers can make informed decisions on which items to stock, how to manage inventory, and what products to prioritize based on customer preferences, seasonal trends, and sales patterns.
MotherDuck extends DuckDB's analytical performance to the cloud with collaborative features, delivering 4x faster performance than BigQuery and cost savings over traditional data warehouses through serverless, pay-per-use pricing. Following the announcement of MotherDuck’s new European cloud region, we were impressed by its performance and attractive pricing. MotherDuck can already be integrated into your gold layers in order to accelerate the serving of data use cases while saving costs at the same time. See performance benchmark.
AI is transforming search, shifting it from ranking and retrieval towards reasoning and synthesis. This whitepaper charts this evolution, explains the mechanics of large language models (LLMs), and sets out the implications for marketers and brands. At the center of the new measurement landscape is the golden triangle of MROI: Marketing mix modeling (MMM) provides the strategic view, quantifying the impact of marketing on sales and offering optimizers and simulators to guide budget allocation.Incrementality testing validates whether campaigns truly drive additional outcomes, using test-versus-control experiments to establish causality. It also calibrates both MMM and attribution models.Attribution informs in-flight optimization by assigning credit across customer journeys. In 2025, advanced models use deep learning and attention mechanisms to capture channel interactions more effectively.These methodologies are most powerful when used together: MMM for long-term planning, incrementality for ground truth, and attribution for real-time agility. Companies also face the decision of in-housing vs. SaaS solutions. In-housing brings customization and control but requires talent and investment, while SaaS offers speed and expertise. The right choice depends on resources and data maturity. Real-world examples highlight best practices: Google’s Meridian introduces an open-source MMM toolkit to improve calibration, upper-funnel measurement, and bias correction.Accor uses incrementality testing to question assumptions and optimize budget allocation.Nike demonstrates the power of persistence and cultural change, embedding measurement into processes and democratizing insights.Artefact stresses the 95-5 rule, showing how brand equity measurement links long-term growth with short-term performance efficiency.Looking forward, five trends will shape measurement: improved data quality, new frameworks for retail media and connected TV, in-housed MMM with testing, privacy-first approaches, and attention-based metrics. The conclusion is clear: marketing measurement is now a strategic enabler. By integrating methodologies, embedding them in culture, and focusing on both performance and brand, CMOs can defend their budgets and unlock sustainable growth.
In 2025, marketing measurement has become a top priority for the C-suite. While generative AI is transforming campaign execution, measurement is what proves value and secures budgets. Yet maturity remains low: most CMOs still struggle to dynamically adjust spend based on performance. The challenge lies in balancing brand and performance marketing, coping with fragmented data, and aligning decisions across strategic and operational levels. At the center of the new measurement landscape is the golden triangle of MROI: Marketing mix modeling (MMM) provides the strategic view, quantifying the impact of marketing on sales and offering optimizers and simulators to guide budget allocation.Incrementality testing validates whether campaigns truly drive additional outcomes, using test-versus-control experiments to establish causality. It also calibrates both MMM and attribution models.Attribution informs in-flight optimization by assigning credit across customer journeys. In 2025, advanced models use deep learning and attention mechanisms to capture channel interactions more effectively.These methodologies are most powerful when used together: MMM for long-term planning, incrementality for ground truth, and attribution for real-time agility. Companies also face the decision of in-housing vs. SaaS solutions. In-housing brings customization and control but requires talent and investment, while SaaS offers speed and expertise. The right choice depends on resources and data maturity. Real-world examples highlight best practices: Google’s Meridian introduces an open-source MMM toolkit to improve calibration, upper-funnel measurement, and bias correction.Accor uses incrementality testing to question assumptions and optimize budget allocation.Nike demonstrates the power of persistence and cultural change, embedding measurement into processes and democratizing insights.Artefact stresses the 95-5 rule, showing how brand equity measurement links long-term growth with short-term performance efficiency.Looking forward, five trends will shape measurement: improved data quality, new frameworks for retail media and connected TV, in-housed MMM with testing, privacy-first approaches, and attention-based metrics. The conclusion is clear: marketing measurement is now a strategic enabler. By integrating methodologies, embedding them in culture, and focusing on both performance and brand, CMOs can defend their budgets and unlock sustainable growth.
