Difficulty Finding Insight from Data? These AI Tools Can Help!

2026-06-23 · Source: Data Science on Medium · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Data Science & Analytics · Depth: Intermediate, short

Summary

AI tools are increasingly vital for enterprises struggling to extract value from their data, as a Forrester report indicates 60–73% of enterprise data remains unused for advanced analytics. These tools address the challenge of slow manual analysis by accelerating data exploration, discovering hidden patterns, and automatically summarizing insights. ChatGPT, for instance, can explain trends, create report narratives, and suggest exploratory questions from analysis results or simple data. Business Intelligence platforms like Power BI integrate AI features such as natural language queries, smart narratives for automatic summaries, anomaly detection, and forecasting. Furthermore, combining AI with workflow automation streamlines processes from data retrieval to result distribution, eliminating repetitive tasks. Mastering the integration and use of these diverse tools, which often offer no-code or low-code options, is essential for optimal business data analysis.

Key takeaway

For data analysts or business teams struggling with manual processes and underutilized data, integrating AI tools is crucial. You should explore platforms like ChatGPT for quick summaries and exploratory questions, and utilize Power BI's built-in AI for pattern detection and forecasting. Automating data workflows with AI will free you from repetitive tasks, enabling faster, deeper insights. Prioritize learning to effectively use and combine these diverse AI solutions to drive more timely, data-driven decisions.

Key insights

AI tools significantly enhance data analysis by automating pattern discovery and insight summarization, addressing data underutilization.

Principles

• Most enterprise data remains unused.
• AI tools accelerate insight discovery.
• Combine AI with workflow automation.

Method

Utilize ChatGPT for data explanation and summarization, employ Power BI's AI features for pattern discovery and forecasting, and integrate workflow automation for end-to-end process streamlining.

In practice

• Use ChatGPT for trend explanations.
• Employ Power BI's smart narratives.
• Automate data updates and report distribution.

Topics

• AI Data Analysis
• Business Intelligence
• ChatGPT
• Power BI
• Workflow Automation
• Data Insights

Best for: Data Scientist, Data Analyst, Consultant

Related on AIssential

• #361 If You Want AI to Work, Fix This Boring Thing First with Veronika Durgin, VP of Data at Saks — AI shifts data roles from production to translation and conceptual modeling, making analytics engineering central.
• Data Formulator 0.7: AI-powered data analytics for enterprise data — AI-powered systems can streamline enterprise data analysis by integrating context-aware agents and a persistent, multimodal workspace.
• This Week in AI — AI tools are rapidly integrating into daily workflows, offering enhanced automation, privacy, and multimodal capabilities.
• BI Is Dead, Long Live BI — AI agents are shifting BI from reactive dashboards to proactive, intent-driven systems that surface insights without explicit queries.
• Business Analytics Tools: A Complete Guide for Data-Driven Organizations — Modern business analytics tools integrate AI and leverage lakehouse architectures to meet evolving data demands.
• Towards Autonomous Business Intelligence via Data-to-Insight Discovery Agent — AIDA autonomously transforms complex enterprise data into actionable insights using reinforcement learning and a domain-specific language.

Open in AIssential →

Editorial summary, takeaway, and curation by AIssential. Original article published by Data Science on Medium.