INSIGHTS FOR DATA & IT LEADERS

Simplify Your Data & Analytics Stack

Embrace a Modern Data Architecture Fit for AI

Ultimately, the modern data stack is about providing a seamless experience for all users, no matter what their data needs are.

Get three key recommendations that will help you determine and build the data architecture that’s right for your teams.

Get 3 Keys to a Modern Data Architecture Strategy

35% of AI Leaders Cite Data Infrastructure as Their Greatest GenAI Barrier

In a Forrester Opportunity Snapshot — a custom study conducted by Forrester Consulting on behalf of Dataiku, based on a survey of 220 AI decision makers — found that, when asked about the greatest barriers to implementing Generative AI, 35% cited data infrastructure and 35% cited difficulty integrating with existing infrastructure.

“The data mesh platform is an intentionally designed distributed data architecture, under
centralized governance and standardization for interoperability, enabled by a shared and
harmonized self-serve data infrastructure. I hope it is clear that it is far from a landscape
of fragmented silos of inaccessible data.”

Zhamak Dehghani, Principal Technology Consultant at Thoughtworks and original architect of the term “Data Mesh”

3 Keys to a Modern Data Architecture Strategy
Fit for Scaling AI

TL;DR: There's No One Architecture for Scaling AI That Works for Every Enterprise

DON'T OVER-CENTRALIZE

What are the advantages and disadvantages of a data mesh approach? How can teams resolve tensions between IT and business?

See p. 7

RETHINK THE ROLE OF IT AS ONE OF CREATING & DELIVERING VALUE

Get insights on the root of IT's role in the modern enterprise (and how Dataiku can help).

See p. 9

LET BUSINESS OBJECTIVES INFORM ARCHITECTURE

... And not the other way around. Avoid pitfalls and ensure architecture choices are aligned with the business.

See p. 10

DATAIKU'S ROLE IN A MODERN DATA ARCHITECTURE STRATEGY

IT leaders: With Dataiku's central, controlled environment, ensure maximum flexibility to users while maintaining control over architecture.

See p. 12

KEY ELEMENTS OF THE MODERN DATA STACK

The modern data stack is about providing a seamless experience for all users, no matter what their data needs are. Because storage and compute are independent in the modern data stack (and because cloud data warehouses can store massive amounts of data for cheap), data transformation can be more on-demand, which places less of a burden on IT.

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