Hiring & Upskilling
for Data + AI Talent
Insights From Dataiku Customers Around the World
Ready to Win the Talent Battle?
Strategies From the Field
Struggling with successfully hiring and upskilling data and AI talent? Execute faster by including more people in the analytics process.
Here are some real-life stories from Dataiku customers that are doing just that.
Pfizer & Dataiku
Empowering a Global Analytics Team With…
1. Speed: Providing teams with the technology to use the most advanced machine learning and AI techniques on the largest datasets.
2. Reusability: Making components of data workflows replicable across teams.
3. Democratization: De-siloing teams and tapping into collective skills so business and technical profiles work seamlessly together to co-build projects (amplifying business outcomes as a result).
4. Ongoing Enablement: Ensuring widespread knowledge sharing and upskilling via training sessions, office hours, and more.
Go Further: Watch the Dataiku DemoNXP & Dataiku
Boosting Data Literacy
NXP provides employees with an online learning platform referred to as BI University. No matter their existing expertise level, anyone can develop their data and analytics skill sets.
In addition, they have an annual Citizen Data Science (CDS) Program that allows individuals with foundational data analytics, competencies, and skill sets to elevate their expertise with tools such as Dataiku.
Go Further: Dataiku Demo for Analysts
GE Aviation & Dataiku
Turning the Business Into
Data Professionals
The self-service data initiative at GE Aviation provides:
- The ability for everyone (with proper access rights) to discover and use data, prepare that data, and create a data product, including developing models within Dataiku.
- The ability for data product creators to share their work with other colleagues
- The ability for data product creators to deploy data pipelines in production using macros developed in Dataiku
Aviva & Dataiku
Navigating the Data
Talent Shortage
Data scientists partnered with domain experts, enabling data scientists to bring creative solutions, new techniques, and new data sources to the table, while business experts brought deep industry knowledge.
Using the proper tooling (including Dataiku) enabled the team to:
- Seamlessly work together
- Improve knowledge sharing
- Reduce individual work done on laptops with no traceability
- Achieve strategic business objectives by doing multiple use cases across different departments while overcoming underlying complexity
How Dataiku Can Help
With Employee Retention, Remote Work Enablement, & Continuity of AI Efforts
Dataiku connects to existing infrastructure, so there is no need to move data for processing. Format and schema detection allow instant access to data wherever it’s stored. From a remote work standpoint, it means that the way people work with data stays consistent and secure, regardless of changes in underlying systems, staff, etc.
Go FurtherDataiku is fundamentally designed for and used by all kinds of professionals (whether they are IT, data scientists, data engineers, software engineers, business people, managers, analysts, and more) at companies around the world.
Go FurtherDataiku handles both horizontal and vertical collaboration with ease with a complete suite of features that enables communication and allows both data and domain experts to work with data their way.
Go FurtherWith Dataiku, do everything in one tool with one simple and unified UI, from connecting data to ETL to model creation to operationalization to model monitoring in production. This is the case no matter the enterprise’s underlying data architecture, industry, or use case.
Go Further