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The Future of BI & Analytics - Adopting Generative AI for Analytics: Early Trends, Lessons, and Best Practices

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The Future of BI & Analytics - Adopting Generative AI for Analytics: Early Trends, Lessons, and Best Practices

Start: Q3 2023
Publication: Q1 2024
Region: Global

The Future of BI & Analytics – Adopting Generative AI for Analytics: Early Trends, Lessons, and Best Practices

The public availability of OpenAI’s Generative Pretrained Transformer ChatGPT marked a decisive shift in the perception of AI. BI & Analytics (BIA) is expected to make a huge leap forward by fully leveraging generative AI.

Generative AI will change the use of BIA for developers, power users and casual users as well as administrators. It can speed up code-creation and the development of semantic models and dashboards beyond what anyone expected a year ago. When integrated properly, generative AI can help answer business users’ questions much faster than current analysis methods and with greater flexibility than most NLQ features marketed today.

This study will examine where companies see the biggest potential and what steps have already been taken.

Key questions:

  • What are the goals and objectives companies are pursuing through generative AI in BIA?
  • What distinguishes the most successful companies from less successful ones?
  • What are the main concerns (e.g., security, data privacy) and issues (e.g., ‘hallucination’, training) that companies face?
  • What use cases are already being implemented and which are in the pipeline?
  • What areas of BIA have the greatest potential for improvement?
  • What tools are currently used and how are they integrated into the current BIA landscape?
  • What skills and resources are required for successful implementation?

About our Topical Survey

BARC Topical Survey

Topical Survey support end-user organizations in their IT/digital strategies and their choice of partners. Our research analyzes the latest market and technology trends – as well as changes to ecosystems – to guide end-user organizations in their digital transformation journey.

Global surveys are based on 250+ participants.

Topical Survey are conducted in an independent and objective manner on behalf of several stakeholders.

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