Survey reveals “massive productivity drain” in data engineering

Complexity, scalability and compatibility remain challenging - 70% data workers struggle with pipeline management.

  • Tuesday, 22nd April 2025 Posted 11 months ago in by Phil Alsop

Managing data pipelines continues to present significant challenges for organizations, with an overwhelming 70% of respondents rating pipeline management as 'somewhat' or 'extremely' complex according to a recent data integration and AI report.

According to the Data Integration and AI-Readiness Survey commissioned by intelligent data integration platform Matillion, more than two thirds of respondents are struggling with pipeline management.

The survey revealed an alarming picture of data integration, an industry facing ever-increasing demand thanks to the growing business need for artificial intelligence (AI) and generative intelligence (GenAI).

Matillion CEO Matthew Scullion said: “Data engineering is boring, gritty and repetitive. Data teams are wasting valuable hours on low-value build, maintenance and management. Instead this time could and should be spent building valuable data products that can be used for new business impacting initiatives.“

The survey highlighted a substantial productivity drain with 64% of organizations reporting that their data teams spent more than 50% of their time working on repetitive or manual tasks.

Rather than increasing staff (and increasing the overheads associated with that), organizations need to identify data integration solutions that empower their current teams to work more efficiently.

Scalability emerges as another critical concern, with 89% of organizations noting issues with their current data engineering platform’s ability to scale pipelines to meet data processing needs.

Scullion added: “This survey highlights the need for a unified solution that is accessible to a wider scope of the organization - easing the load on data engineers and data teams, while empowering business leaders to make data-driven decisions. Bringing AI into this mix creates an incredibly compelling vision of data engineering of the future, where data engineers are able to focus their time on innovation and doing what they do best - solving business problems, rather than manual, laborious pipeline management.”

This Data Integration and AI-Readiness Survey was conducted in partnership with Perspectus Global in January 2025. Respondents included 307 data decision-makers and data user titles, based across the UK and the US.

WatchGuard Technologies has launched a new endpoint security portfolio that introduces changes to traditional EDR licensing models.

SonicWall reveals 2026 Cyber Protect Report

Posted 1 hour ago by Sophie Milburn
SonicWall's latest report identifies the 'Seven Deadly Sins of Cybersecurity', focusing on protection outcomes crucial for small and medium-sized...
Hammer AI Works is an end-to-end ecosystem designed to support AI adoption across organisations.
UK and Ireland businesses are prioritising operational resilience to address financial risks and improve service continuity and performance.
Exabeam has updated its Agent Behaviour Analytics to improve visibility into AI activity and strengthen enterprise threat detection capabilities.
Kyndryl has introduced Agentic Service Management to support the transition from traditional IT operations to AI-driven workflows.

Adapting cybersecurity certification for AI integration

Posted 22 hours ago by Sophie Milburn
ISC2 has updated its certification exam guidance to include AI security concepts, reflecting changes in cybersecurity roles and responsibilities.

AI-driven learning in enterprise education

Posted 22 hours ago by Sophie Milburn
Skillsoft reports growth in AI-native learning adoption as organisations increasingly use practice-based, real-world learning approaches in...