Data wrangling tools help you transform messy, raw data into clean, structured formats ready for analysis, without writing complex code or waiting on data engineers. This guide compares 15 data wrangling tools across pricing, features, ease of use, and ideal use cases to help you find the right solution. Quick comparison table Tool Best For […]

Let’s face it, data is messy.  Whether you’re dealing with inconsistent formats, duplicate entries, or scattered sources, making sense of it all can feel like a full-time job.  That’s where data harmonization tools come in.  They simplify the process of cleaning, transforming, and integrating your data so you can focus on what matters: getting actionable […]

We are excited to introduce UI upgrades to Mammoth, improving user experience, with a more intuitive, flexible, and responsive interface. The changes are now live on our platform at app.mammoth.io, where you can experience the improvements firsthand. Here’s a quick rundown of the major changes you’ll notice. Pipeline Changes: More Control, Flexibility, and Simplicity Sync Options:Sync […]

Finding the right data automation tool makes a huge difference in how you handle your day-to-day operations. But with so many options out there, it can be hard to know where to start.  By combining expert reviews with user feedback, we’ve created a ranking of the best data automation software on the market.  All based […]

Seeking an alternative to Alteryx, or just curious what else is out there? We’ve found the 7 the top Alteryx competitors and broken them down in this article.
In this blog post, we’ll give you an overview of why data preparation is important, the steps in data preparation, and the tools you can use.
Great Power BI dashboards help you make business-critical decisions. They also care deeply about the users and are based on credible data. Stick around as we discuss the principles of dashboard making, dissect the traits of winning Power BI dashboards, and showcase 7 eye-catching Power BI dashboard examples—from finance, sales, and marketing to healthcare, CPG, and operations— that stakeholders absolutely love.
We’ll walk you through how to create a Power BI dashboard with data you can trust and how brands like Arla, Bacardi, and Starbucks overcome some of the most typical challenges with careful planning and automated data preparation tools.

If you’re wasting hours choosing the right color combinations and charts for your reports, Power BI templates are what you need! What are Power BI templates? Power BI templates help you jump-start the process and take away a lot of your design burden. That said, pre-built templates don’t work for everyone since everyone’s data structure […]

In a utopian world, data cleaning in excel wouldn’t be needed. You sheets would always be clean and properly formatted. But in reality, data is riddled with formatting issues, duplicate rows, missing values, spelling mistakes, improper capitalizations, lack of structure, and so much more. If you’re a professional still looking to skip past the repetitive […]

We are proud to announce that Mammoth has achieved ISO/IEC 27001:2022 certification. This certification demonstrates our unwavering commitment to data security. Understanding ISO/IEC 27001:2022 Certification ISO/IEC 27001:2022 is a globally recognized standard that sets stringent requirements for establishing, implementing, maintaining, and continuously improving an Information Security Management System (ISMS) within an organization. Protecting Sensitive Information […]

We are excited to announce that Mammoth is now a destination in Segment’s rich catalog! Track every user action with Segment Segment is a single platform that collects, stores, and routes your user data to hundreds of tools at the flick of a switch. Segment is a great platform for collecting user interaction data from […]

If you struggle with data cleansing, normalization, standardization or consolidation, this article is for you. Mammoth’s powerful new feature will save you time, money and all the headaches.
Spreadsheets are the lifeblood software for most organizations. But for a small (and rapidly growing) population of analysts, there is an unmet need for something more. The pains of managing their data are growing on a daily basis with no real solution in sight. The widening gap between Excel users versus SQL or R programmers is becoming a real problem. The most basic set of tasks of managing rows and columns takes unreasonable amounts of time and involves costly resources. For organizations ignoring these problems, this means either squandering away potential growth opportunities or losing their competitive edge, and in most cases both.
We write code every day, solve the most complex of issues, and diligently come up with the most simple and sophisticated solutions for every complex problem. We are Engineers, Designers, Lawyers, Business experts and more. But most importantly we wake up every day, and proudly call ourselves as problem solvers. Yet, there’s one problem for which we seem to come up with the weakest of solutions. Much has been spoken about it, and still so much to be done. Let’s talk about the Women in Tech.
While JSON seems to have taken over the world, there are glaring problems for both developers and non-techies alike — attempting to parse and manage the data.
The Biotechnology, Bioinformatics and Computational Biology fields are growing on multiple fronts, including data volume and complexity. The amount of data generated is far larger than the ability to consume or make sense of it. While data volume may sound like a problem, there is another more significant and pressing issue, specifically around existing processes and general accessibility to data.

Here’s a scenario (that happens to be typical in the manufacturing world) – Dataset A (ERP data) contains a date range, and Dataset B (Sensor Data) contains rows that fall within the date range of dataset A. Example: The Objective Our goal is to combine the two datasets with “Time” as the common column. We […]

While the tendency to throw in more data scientists and engineers at the problem may make sense if companies have the budget for it, that approach will potentially worsen the problem. Why? Because the more the engineers, the more layers of inefficiency between you and your data. Instead, a greater effort should be redirected toward empowering knowledge workers / data owners.
We're really pleased to have joined the NielsenIQ Connect Partner Network, the largest open ecosystem of tech-driven solution providers for retailers and manufacturers in the fast-moving consumer goods (FMCG/CPG) industry. This new relationship will allow FMCG/CPG companies to harness the power of Mammoth to align disparate datasets to their NielsenIQ data.
Mammoth Analytics is pleased to announce the successful completion and independent audits relating to SOC 2 (Type 2), HIPAA, and GDPR certifications. Going beyond industry standards of compliance is a strong statement that at Mammoth, data security and privacy impact everything we do. The many months of rigorous testing and training have paid off.