No-Code Data Prep & Dashboard builder

Our smart merging engine employs a multi-step algorithm to reconcile differently structured data during prep. First, it analyzes column names using fuzzy matching and semantic similarity detection to identify corresponding fields even when naming conventions differ (e.g., "Customer_Name" vs. "ClientName"). For date and number formats, the system automatically detects patterns and standardizes them. When structural mismatches occur—such as one spreadsheet storing full addresses in a single column while another splits them into street, city, and zip—the engine uses pattern recognition to suggest transformations. You maintain full control through a visual dashboard interface that shows all detected matches and conflicts with side-by-side previews, allowing you to approve, override, or create custom mapping rules before the final merge is executed.

The platform offers several sophisticated imputation strategies for data prep, each suited for different data types and scenarios. For numerical data, you can use statistical methods like mean, median, or mode replacement, or more advanced techniques like interpolation for time-series data. For categorical data, you can fill with the most frequent value or a custom placeholder. The most powerful option is our ML-based imputation, which predicts missing values by analyzing patterns and correlations across all other columns in your dataset. To help you choose, the system provides a recommendation based on the column's data type, the percentage of missing values, and the detected patterns. Each method includes a detailed explanation of its use case, and you can apply a "trial fill" to a sample of your data to preview results in the dashboard before committing to the entire dataset. All filled cells are visually highlighted and tracked in an audit log, allowing for easy reversal if needed.

Absolutely. After configuring your workflow—including steps like merging, filtering, cleaning, and adding calculated columns—you can save the entire prep sequence as a reusable "Template." This Template stores all your settings, rules, and formulas. When you have a new dataset that requires the same transformations, you simply load the Template and apply it with a single click on "Run." The system will intelligently adapt the steps to the new data's structure, matching column names where possible and prompting you for any necessary adjustments. This feature is ideal for standardizing monthly reports, processing data from consistent sources, or ensuring all team members apply the same cleaning logic. Templates can be named, organized in folders, and shared with colleagues, making complex data prep routines quick and repeatable for dashboard creation.