DATA MESH IN 2023 AND BEYOND
Data mesh was a hot subject in 2022, and it’s continuing to drive the data management conversation even further this year.
Predictions for 2023 by industry insiders about data mesh include the following:
“Organizations that adopt data mesh principles will outperform those who take a data warehouse-only approach by double digits and at 30% lower cost.”
Cindi Howson, Chief Data Strategy Officer at ThoughtSpot.
🔹 Data mesh adoption will grow, driven by the framework of treating data as an asset and democratizing access to enterprise data.
[Suresh Sethuramaswamy, Forbes Councils Member, December 15, 2022].
As firms mature and accelerate digital and AI investments, they will focus more on “business value-driven data product creation.”
[Michele Goetz, VP, Principal Analyst at Forrester]
“The future of cloud adoption relies on a migration to a data mesh architecture… In 2023, we will see more companies electing to implement data mesh in order to drive cloud adoption and avoid disturbances to application performance.”
|Madalina Tanasie, CTO, Collibra – Data Management Solutions Review.]
Data Mesh: How decentralization democratizes data use across the enterprise
Artefact’s Data Conference, dedicated to exploring Data Mesh, was held on 15 December 2022. Leading data experts met to share ideas, opinions and concrete examples of what data mesh is, how it’s being implemented in their businesses, and the promises it holds for the future.
Watch the video
(you can enable subtitles in your language directly in Youtube – check settings)
Featured participants
– Fabrice Henry, Managing Partner, Artefact
– Johan Picard, Data Analytics Practice Lead, EMEA, Google
– Jean-Noel Lucas, Chief Data Governance Officer, L’Oréal
– Brice Miranda, Data, AI & Automation Deputy, Orange
– Jean Christophe Brun, President-Founder,
Read the article
Key takeaways from this article
– How data mesh can eliminate the data expert bottleneck
– How data can be democratized at scale across the enterprise
– How use cases can be successfully industrialized
Data Mesh: The path to data decentralization
In this article, Pascal Coggia, Managing Partner at Artefact UK, discusses the intricacies of data mesh, including why it’s more of a mindset than an approach.
Pascal touches on issues from the origin of data mesh and the concepts of data products and data ownership to the benefits and challenges of deploying data mesh in today’s enterprises.
– What is Data Mesh? How is it different from a data lake?
– What is meant by “data as a product”?
– What are the benefits for businesses?
– What are the challenges to Data Mesh adoption?
– When is a company ready to adopt a Data Mesh strategy?
– What kinds of companies are successfully deploying Data Mesh?
Data Mesh: Principles, promises and realities of a decentralized data management model
Watch Justine Nerce, Data Consulting Partner, and Killian Gaumont, Data Consulting Manager, both of Artefact, lead a Data Mesh Workshop with the participation of Amine Mokhtari, Data Analytics Specialist at Google Cloud.
The workshop explored three subjects
- What is the business value of a product/mesh approach?
- How can companies achieve success with their deployment approach?
- What technology stack should companies adopt?
Data Mesh: The role of domains in a “Data as a Product” approach
In this article, Violaine Berland, Data Consulting Director, and Killian Gaumont, Senior Consulting Manager, both of Artefact, discuss why treating data as a product, rather than a by-product, is one of the pillars of building a successful data mesh.
Key business values of the data as a product approach:
– It allows for greater flexibility and agility in how data is used and accessed.
– It encourages collaboration between domains and thus business units.
Organizational prerequisites for implementing data as a product:
– Clear policies and coordination between domain teams must be established to ensure that data is being used and managed consistently.
– Strong data governance and quality control are needed to ensure that data is of sufficient quality and trustworthiness to be used as a product.
DATA CONSULTING | DATA & DIGITAL MARKETING | DIGITAL COMMERCE
