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Inkhouse Exasol

2024 AI and Analytics Report

March 2024
Research parameters
Topic:
AI
Countries:
US, UK, Germany
No. of interviews:
800
Methodology:
Quantitative
Respondent profile:
Senior decision makers in IT and non-IT roles, as well as data scientists and analysts

Brief

Exasol, an analytics database company, wanted to increase their brand awareness and create attention within press and media circles in the data and analytics market. They wanted to join the conversation on AI, contributing to thought leadership in the area and how AI can unlock data’s full potential.

Solution

Vanson Bourne designed and conducted a quantitative study with senior decision makers in IT and non-IT roles, as well as data scientists and analysts. The aim was to uncover the views of these professionals in relation to AI and analytics, addressing budgeting prioritization, plans to address scaling data needs, concerns and learnings.

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Outcome

Findings from the research was presented to Exasol, and followed up with an insights report, delving into the narrative. Using these reports and data, Exasol produced a 2024 AI and Analytics report, which explored the data in depth and led to the press and media attention that they sought.

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Key findings

91%
of respondents believe AI is crucial for organizations in the next two years
45%
report feeling pressure from stakeholders to adopt AI technology
78%
of decision-makers have identified gaps in data science and their Machine Learning models, with latency being a major issue affecting the speed of implementing new data requirements and slow reporting performance
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