Mammoth is a data preparation and automation platform that enables business and technical users to clean, transform, and operationalize data for analytics and reporting. It sits in the category of data transformation and workflow automation software, providing tools for working with structured files, databases, and cloud sources without requiring complex scripting. The platform is designed for teams that need to centralize disparate data, reduce manual spreadsheet work, and create repeatable processes that feed dashboards, models, and operational systems. Mammoth is used by analysts, operations teams, and data-adjacent professionals who manage recurring data tasks or require a more scalable alternative to spreadsheet-based workflows. Common use cases include preparing sales or marketing data for dashboards, normalizing exports from multiple vendors, building automated reporting pipelines, and consolidating data from different systems into a single, analyzable format. Users typically adopt Mammoth when they need a solution that bridges the gap between traditional BI tools and heavier data engineering platforms, providing a middle layer that is accessible while still offering advanced transformation capabilities. Key characteristics of the platform include visual, step-based transformations; support for importing files of various formats; the ability to automate recurring workflows; and integrations that allow processed data to be sent downstream to databases, BI tools, or cloud storage. The software is suited for organizations of different sizes, particularly those without dedicated data engineering resources but with recurring analytical or reporting needs. Main features and capabilities include: • Tools for cleaning, transforming, and joining datasets without needing to write code. • Automated workflows that run on schedules or triggers to support recurring reporting. • Connectivity with files, spreadsheets, databases, and cloud data sources. • Options to export or sync processed data into analytics platforms or operational systems. • A workspace environment that supports collaboration across analysts and operational teams. Primary benefits for users include: • Reduced manual spreadsheet work and fewer repetitive data-prep tasks. • Improved consistency and accuracy in recurring datasets used for reporting. • Faster time from raw data to analysis-ready outputs. • Centralization of disparate data sources into unified workflows. • Greater accessibility to data transformation for non-engineering roles.