GenAI Applications in Analytics: Mapping the Current Landscape of a Potential Game-Changer
This IDC Perspective discusses the rise of generative AI (GenAI) applications in analytics and its potential to revolutionize various industries. It highlights the increasing adoption of GenAI by major tech companies such as Google, Facebook, and OpenAI as well as its impact on customer experience, automation, and intelligence. It also explores the competitive landscape of GenAI, its dominance in analytics, and its potential to transform data interpretation and communication. The research further delves into the specific applications of GenAI in business intelligence and data analytics, emphasizing its role in automating report generation, smart data discovery, predictive analytics, and personalized insights."In 2023, a new chapter of the digital business era started: AI everywhere. Generative AI promises to drastically reduce time and costs associated with automation and intelligence," said Giovanni Cervellati, research manager, IDC.
Please Note: Extended description available upon request.
Executive Snapshot
Situation Overview
GenAI and Analytics
Vendor Profiles
Tableau: Democratizing Data Accessibility
Tableau AI
Tableau Pulse
AWS: More Security- and Privacy-Focused Alternative for Natural Language Analytics
Qlik: Combining GenAI and Qlik to Drive Insights
IBM: Focus on Security, Compliance, and Data Governance
Cognos Analytics and Planning Analytics: Easier to Use With GenAI
Alteryx: Automation and Democratization Are Top Priorities
SAS: Broad Range of Applications and Experimentations
Domo: Analytics for Business Users With Generative AI
Dataiku: GenAI-Ready
AI Code Assistance: Make Coding Easier
AI Explain: Understand and Explain Dataiku Flows
Google: GenAI Everywhere With Gemini
Gemini in Looker: Talk to Your Data
Gemini in BigQuery: Data Finding and Querying
BigQuery Studio: BigQuery and Vertex AI Together — More Collaboration and Data Democratization