Data quality and cleaning
A dashboard is only as trustworthy as the data under it. These posts cover both halves of that problem: the practical techniques for cleaning a specific mess, such as duplicates in Excel or a CRM full of near-identical contacts, and the tools that turn a one-off clean-up into something that runs on every refresh.
10 posts
- 5 min
Your Data Arrives Wrong. Here Is the Detection Layer.
Bad data does not announce itself. It arrives looking exactly like good data, and you find out three weeks later in a meeting. There are two moments worth catching it: once when you are looking at the data, and continuously when you are not.
Jasper Flour · 14 August 2026 - 11 min
What Is Self-Service Data Preparation? A Complete Guide
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.
Jasper Flour · 16 March 2026 - 13 min
Data Quality Management: Our Ultimate Guide (For 2026)
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).
Jasper Flour · 2 March 2026 - 18 min
How to Remove Duplicates in Excel (5 Best Methods)
Want to remove duplicates in Excel? This guide shows you our 5 favorite methods, from the simplest one-click solution to advanced automation for large datasets.
Jasper Flour · 12 February 2026 - 12 min
15 Best Data Quality Tools for 2026 [Curated List]
15 data quality tools compared on who can run them, what they cost and whether they fix data or only report on it, plus four cleaning tools for business users.
Jasper Flour · 8 January 2026 - 6 min
CRM Data Cleansing: How to Fix Your Messy Contact Database
CRM data cleansing is the process of fixing duplicate, outdated, and incorrectly formatted records in your customer database.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
Jasper Flour · 28 August 2025 - 6 min
Inaccurate Data: How to Spot and Fix It Fast (2026 Guide)
You're presenting quarterly numbers to the board. Halfway through, you realize some of the data is wrong. Or your marketing team discovers they've been targeting customers who haven't been active for months. These situations happen more often than anyone wants to admit. According to Gartner, inaccurate data costs organizations $12.9 million annually. That's just the
Jasper Flour · 14 August 2025 - 6 min
Data Cleansing vs Cleaning: What’s the Difference?
In the world of data management, two terms often come up: data cleansing and data cleaning. While they may sound similar, these processes play distinct roles in ensuring data quality. Understanding the differences between data cleansing vs data cleaning is key for organizations looking to make the most of their information assets. At Mammoth Analytics,
Jasper Flour · 8 May 2025 - 14 min
Data Cleaning in Excel: 8 Best Techniques and Tips [2026]
Need help with data cleaning in excel? Read our step-by-step guide loaded with the best tips and tricks. Go from messy spreadsheet, to clean dataset in minutes!
Aakanchha Keshri · 22 December 2023 - 3 min
How To Clean A Dataset in Minutes Quick 2-Step Guide)
Have a data set that you need help with cleansing, normalizing, standardizing, or consolidating? This article shows you how to do exactly that
Emily Oliveira · 5 July 2023
Fix it once, not every month.
Cleaning steps are recorded as a pipeline, so the same fix runs on every refresh instead of by hand.
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