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 the foundations for their transformation
A clear and immediately actionable Data/AI strategy (including prioritized use cases) that will support your overall vision, serve your business objectives, with a robust value-driven program management methodology.
A Data Factory to quickly deliver relevant, sustainable, and actionable use cases enhanced by a combination of technical and organizational assets, enabling the implementation of new internal and external services.
Data Governance that ensures the accessibility and quality of your data for all uses of the vision, in an efficient, scalable, and sustainable manner.
Une Data Platform à faire évoluer pour répondre à vos besoins et vos compétences, pour faciliter sa prise en main par ses utilisateurs (business, data & tech) & tirer un maximum de valeurs de vos données.

Evangelizing the Data Culture within your organization to enhance your teams’ skills, disseminate, and sustain best practices.

A coherent organization (IT, Data, Business, etc.) that takes into account the reality and culture of the organization, enabling the support of data transformation.

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.

Data & AI Transformation for Business Report

Unlocking the potential of data & AI for accelerating your business and improving your entreprise’s performance.

Data & AI Transformation for Business Report.

While most actors have started building the foundations for their transformation, several challenges prevent the adoption of AI at scale.

Companies face a lack of business consistency with use cases scarcely fitting with long-term company ambitions, and few POCs coming to production due to a lack of anticipation of prerequisites, generating frustration.

Organizations experience a real challenge in recruiting and retaining scarce profiles, and misunderstandings often appears with business front-liners due to a lack of decoders.

Poor quality data result in long time-to-market and low accuracy. Unaware of these benefits, business front-liners show limited commitment to data governance, only perceived as a painful burden.

People misinterpret the idea “data is power”. By keeping their data in a proprietary ecosystem, organizations deprive themselves from the potential of external data sources to enrich their models. Further missed opportunities arise when people forget that they are a critical link in the data value chain.

Focused on shiny new techs, technical teams tend to forget business value, re-creating what are now turnkey solutions on the market, and can be reluctant to changing outdated ways of working in favor of agile methodologies.

Employees see AI as a threatening substitute, rather than a promising empowerment tool, and Innovations are often introduced as plug-and-play solutions with “magic inside”, leading to disinterest upon first failure.

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...