Data & AI Strategy
Data & AI strategy guiding you along your business transformation journey through a proven strategic framework .
We help our clients define the future state of their business through a proven data strategy’s framework.
At Artefact, we combine industry-leading expertise in data and AI with a hands-on approach to ensure that our strategies deliver tangible business results.
Our multidisciplinary teams work closely with your organization to develop strategies that not only meet your current needs but also prepare you for future growth.
Our approach to data and AI strategy goes beyond technology—we focus on driving business transformation. We collaborate with your leadership and teams to develop a clear, actionable roadmap that harnesses the power of data and AI.
From initial assessments to full-scale implementation, we ensure your organization is prepared to leverage data and AI for long-term success.
Building future-ready strategies with Data and AI
Building future-ready strategies with Data and AI
From initial assessments to full-scale implementation, we ensure your organization is prepared to leverage data and AI for long-term tangible success.
- Data Strategy Development: We craft a comprehensive strategy that aligns your data initiatives with your business objectives, enabling more informed decision-making.
- AI Opportunity Identification: We identify high-value AI use cases that can drive operational efficiency, enhance customer experiences, and unlock new revenue streams.
- Data Governance and Compliance: We ensure data integrity, security, and compliance with industry regulations, safeguarding your organization’s most valuable assets.
- AI Implementation Roadmaps: We design and implement AI solutions that are tailored to your unique business needs, ensuring seamless integration and scalability.
- Cultural Change and Upskilling: We drive a data-driven culture within your organization, providing the tools and training needed to fully harness the potential of AI and data.
While most actors have started building the foundations for their transformation, several challenges prevent the adoption of AI at scale.
Our expert content about Data & AI transformation
Marketing Mix Modeling in Pharmaceuticals: challenges and solutions
Marketing Mix Modeling (MMM) has long been a valuable tool across industries for data-driven decision-making. Recently, it has gained renewed attention in healthcare and pharmaceuticals...
Demystifying brand and long term effect measurement in Marketing Mix Modelling
Did you recently make a significant purchase, like a new phone, car, furniture or even jewellery? If yes, then you are probably not buying them...
The holistic measurement puzzle: Navigating the complex landscape of Marketing ROI
Measuring and optimizing marketing ROI is a challenge for many companies, with 70% of marketing executives struggling to do so effectively.
How does generative AI create more personalized marketing?
Generative AI personalizes and optimizes marketing strategies, signifying a decisive turning point in customer engagement and campaign performance. Here's a look back at what Hanan...
Think with Google – How the Egyptian tourism authority used AI to measure the real impact of their ad campaigns
One of the biggest challenges travel marketers face today is measuring the real impact of their ad campaigns. That’s because most travellers book their holidays...
Unlocking growth and efficiency: Leveraging Customer Data Platforms in financial organizations
Customer Data Platforms (CDPs) are one of the key technological enablers for staying competitive in a rapidly evolving industry landscape. CDPs aggregate, segment, and leverage...
Navigating the New Era of Cookieless Advertising
The shift away from cookies doesn't need to feel so chaotic. Dive into the new technologies and first-party data strategies that performance marketers are embracing...
From CDP to GPT: Building Your Future Consumer Engagement Strategy Now
The Artefact Singapore data & AI consulting team, with our Tech Partner, Treasure Data, a leading solutions provider of Customer Data Platform (CDP), took part...
How we handled profile ID reconciliation using Treasure Data Unification and SQL
In this article we explain the challenges of ID reconciliation and demonstrate our approach to create a unified profile ID in Customer Data Platform, specifically...
Pushing the boundaries of experimentation and measurement with innovative new modeling techniques
Emmanuel Malherbe, Head of Research Center at Artefact, met recently with Sid Mohan, Director Data Science & Global Lead for Causal AI Research & Marketing...
How savvy marketing management can boost sales and solve sophisticated business questions
Bertrand Brisou, Data & Analytics Director at Artefact, met recently with Emmanuel Malherbe, Head of Research Center at Artefact, to discuss his work as leader...
Three trends paving the way for the future of marketing mix modeling
Aleksandra Semenenko, Director of Data Science & Global lead on Marketing Measurement at Artefact, recently sat down with Emmanuel Malherbe, Head of Research Center at...