Guides to working with your data

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).

CRM data cleansing is the process of fixing duplicate, outdated, and incorrectly formatted records in your customer database. With 70% of CRM data going bad annually and poor data quality costing businesses $13.5 million per year on average, cleanup isn't optional. It's survival. Ever spent your weekend fixing spreadsheets because your CRM data was so messy

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.

Here's a question: Why does closing your books take longer now than it did five years ago, even though you have "better" software? The answer is simple. Your financial data lives in more places than ever. QuickBooks handles accounting, Stripe processes payments, Expensify tracks expenses, and your ERP manages operations. Each system works great individually,

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

If you're connecting Power BI to BigQuery, you've probably discovered it's not as straightforward as it should be. While Microsoft offers a native BigQuery connector for Power BI, many teams find themselves wrestling with authentication issues, performance limitations, and complex data preparation workflows that slow down their reporting. We built Mammoth after seeing countless teams

Want to know how to create a Power BI dashboard? Read our simple, step-by-step guide to learn exactly how to do it. No guess work or technical expertise needed.

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.

Sales dashboard software puts your pipeline, deals and team performance on one screen. Your CRM probably has one already. Nine tools compared, and when the built-in dashboard stops being enough.

Marketing dashboard software puts your ad, analytics and CRM numbers on one screen. Ten tools compared on what they cost as you add channels and clients, with every price read off the vendor's own page.

Supermetrics starts at €39 a month, and almost nobody pays only that. Every plan includes one destination and a fixed number of sources, and each extra is its own monthly line.

Metabase is free to self-host, $100 a month on Starter and $575 on Pro. The number that decides your bill is who counts as a user, and at Metabase that includes the people viewing an embed.

Looker Studio, now renamed Data Studio, is free for creators and viewers. Pro is $9 per user per project per month. The bill that surprises people comes from the connectors and the data behind the reports.

Docparser charges in parsing credits, and one credit is one document of up to five pages. Plans run from $39 to $159 a month, so the price that matters is what each document costs you.

Databox is free for one user, then $71 to $319 a month billed yearly. The plans are sized by users and data sources, and the jump that catches teams out is the fourth login.