Business Intelligence (BI) means collecting, combining, analysing and presenting your business data so you can make better decisions. Its goal is to turn raw figures into insights that improve planning, efficiency and performance.
Until recently, good BI needed expensive software and an analyst. AI has changed that - you can now simply ask questions of your data in plain English.
"Chat with your data"
The AI tools most small businesses already have access to can now analyse data directly:
- Copilot in Excel and Power BI - ask "which products had the biggest drop in sales last quarter, and why?" and get the answer, a chart and the formula.
- Gemini in Google Sheets - summarise, analyse and chart data from a simple prompt.
- ChatGPT and Claude - upload a spreadsheet or export and ask for an analysis, forecast or report.
- Connected AI - with an AI agent or tools connected through MCP, the AI can query your accounts package, CRM or database directly (with read-only access), so figures are always current.
How AI improves business intelligence
- Data extraction and integration: AI pulls relevant data from databases, documents, emails and the web, and helps map and merge data from different systems and formats.
- Data cleansing: AI finds and fixes errors, inconsistencies, duplicates and missing values, so your analysis is based on reliable data.
- Analytics and insights: AI analyses large volumes of data to reveal patterns, trends and correlations that people might miss.
- Predictive and prescriptive analytics: AI forecasts future outcomes - sales, demand, customer behaviour - and suggests the best actions to take. See Predictive AI.
- Understanding text: AI reads customer feedback, reviews, survey comments and social media and tells you what people are saying and how they feel about it.
- Automated reporting: AI generates reports, dashboards and plain-English summaries automatically - for example a Monday morning email explaining what changed last week and why.
- Alerts and decision support: AI monitors your data continuously and alerts you to anomalies, emerging patterns or problems that need attention.
Check the numbers: AI can make mistakes with calculations or misread a column. For important decisions, ask the AI to show its working, and sense-check the figures before acting on them.
Want to get more from the data you already have? Contact us.