Business Intelligence

Choose from 100+ analysis operations

The Operations Library on the left groups more than a hundred ready-made analyses — from descriptive statistics and distributions to trends, correlations, hypothesis tests, and forecasts. Search the library or browse by category, and each operation explains what it does, what to select, and example use cases before you run it.

• Descriptive stats — sum, mean, median, mode, standard deviation, variance, range, IQR, and more
• Distributions — histograms, skewness, kurtosis, quartiles, deciles, and normality tests
• Comparisons & relationships — group breakdowns, correlations, t-tests, chi-square, and ANOVA
• Time-based — trends over time, period-over-period change, CAGR, and forecasts

Map your variables

Every analysis runs on the fields you map. Select the dataset, then pick a metric (the number to analyze, like revenue or cost), optionally a second metric for comparisons, a dimension to group by (region, product, customer type), and a date column for anything time-based. Built-in help explains each variable so you always know what to choose.

• Metric — the number you want to calculate (sum, average, and so on)
• Dimension — the category to group by, for breakdowns like "sales by region"
• Date — the time column for trends, period filters, and forecasts

Filter, slice, and set the grain

Narrow the analysis before you run it. Filter rows by text, a numeric range, a date range, or selected values; sort ascending or descending; and set the time granularity — day, week, month, quarter, or year — to control how trends are bucketed. You can limit the whole analysis to a specific date window or run it across all history.

Get charts and AI insights

Results render as a chart plus a written summary, and an AI Insights panel explains what the numbers mean in plain language — highest and lowest groups, significant changes, anomalies, and notable patterns. Every result can be saved straight to a Dashboard, a Presentation, or Reports, or downloaded — the chart as a PNG, the table to the clipboard, or the full analysis as Excel.

Best practices

• Start from the operation, not the fields — pick the question you want answered, then map the metric and dimension it asks for
• Set a date range only when you want to limit the analysis to a period; leave it blank to use all history
• Use a second metric for comparisons like revenue vs. cost, and a second dimension for two-way breakdowns
• Read the AI Insights panel — it calls out the significant movements and the data-quality caveats for you

Next steps

BI gives you the full analysis toolkit. Next in Analytics, Competitor Intelligence turns that lens outward to track rival companies and markets.