Guides to working with your data

Excel holds 1,048,576 rows per sheet. What happens when a file has more, and four ways to work with every row: Power Query, splitting, Python and Mammoth.

Self-service data preparation lets business users clean, join, and transform data without writing code or relying on IT. This guide covers how it works.

Learn all about what data quality management (DQM) is and how to implement it in your organization (even if you're not a data expert).

Data workflow automation is revolutionizing how businesses handle their information. Gone are the days of tedious manual data processing and time-consuming spreadsheet manipulation. Companies are now turning to automated solutions to streamline their data pipelines, boost efficiency, and make better decisions. But what exactly is data workflow automation, and how does it compare to traditional

Consolidate multiple QuickBooks companies automatically. Learn how finance teams save 20-40 hours per close and eliminate intercompany errors. Real examples.

In the world of data integration, two approaches stand out: ETL (Extract, Transform, Load) and API integration. Both methods have their strengths and use cases, but understanding the differences between ETL vs API integration is key to choosing the right solution for your business needs. At Mammoth Analytics, we've seen firsthand how the right data

A dashboard is one screen that shows the few numbers a team needs to run its work, kept up to date from the systems they come from. Here is what goes on one, the four types, and real examples by team.

Four ways to automate Excel reports: Power Query, macros, Office Scripts with Power Automate, and Mammoth. What each one automates, and what it leaves to you.

What is financial reporting automation? (Quick answer) Financial reporting automation means you stop being the human copy-paste machine between your data and your reports. Instead, you connect your sources, build the logic once, and the system runs it every month on schedule. Your close cycle drops. Error rates drop. Your team stops spending a week

A dashboard is one screen that shows the few numbers a team needs to run its work, kept up to date from the systems they come from. Here is what goes on one, the four types, and real examples by team.

Project management dashboard software compared by the thing most round-ups skip: which plan the dashboards first appear on, and how many projects one dashboard can combine. Prices from each vendor's own page.

Invoice data extraction software compared by job: free tools for a spreadsheet, no-code parsers for invoices that arrive by email, AP platforms, and cloud APIs for developers. Prices from each vendor's own page.

The best HR dashboard software, split into HR systems with reporting built in and analytics tools that sit over several HR systems. Prices from each vendor's own page.

Excel holds 1,048,576 rows per sheet. What happens when a file has more, and four ways to work with every row: Power Query, splitting, Python and Mammoth.

agent@mammoth.io lets anyone email Mammoth's AI agent a file and a sentence and get the answer back in the thread. Building it changed how I think about agents: identity, threads, what an inbox should be allowed to change, and why the work should come before the sign-up.

Four ways to automate Excel reports: Power Query, macros, Office Scripts with Power Automate, and Mammoth. What each one automates, and what it leaves to you.

Looker Studio, now renamed Data Studio, is free and good at charts. Eleven alternatives compared on the parts it leaves to you: preparing the data, blending more than five sources, and keeping reports current.

Eleven data storytelling tools compared on what they turn your data into, where the story ends up, and the part most lists skip: whether the numbers in it still match the data next month.

Power BI Embedded is billed by the hour for Azure capacity, from about $1 an hour for an A1 node. Every node size, the licences you still need, and what a working deployment costs a month.

Twelve embedded analytics tools compared on how they embed, who has to build it, and the part most comparisons skip: how each one counts the people looking at your dashboards.

Anyone can generate a dashboard from a sentence now. Trusting one is a different matter. Trust comes from judgment about what to count and what to claim, and judgment has to be built into the tool, because a prompt can only ask for it.