Fuzzy Matching in Alteryx & Tableau | Beyond the Basics
Fuzzy matching, also known as fuzzy logic, is a process that identifies elements in data sets that are similar but not identical.
Fuzzy matching, also known as fuzzy logic, is a process that identifies elements in data sets that are similar but not identical.
Alteryx Transpose and Cross Tab Tools can dramatically decrease the time it takes to prepare data and this blog provides a crash course in how to do it.
A regular expression (regex) is a sequence of characters that specify or define a search pattern in text. Alteryx makes it an easy task.
AutoML is the process of applying machine learning models to real-world problems using automation. More specifically, it automates the selection and parameterisation of machine learning models, which can be time consuming and tedious. Alteryx AutoML is a cloud-native tool that enables users to prepare, blend and output data without having to write any lines of code.
Natural Language Processing (NLP) is a subset of artificial intelligence that enables computers to interpret human languages. It focuses on the use of computer programming to process and infer the meaning of ‘natural’ human languages both spoken or written, allowing us to interact with machines via speech or text.
The Oxford Dictionary defines a dashboard as a “Graphical summary of various pieces of information, typically used to give an overview of a business”.
In this blog post, we will explore why data wrangling is so important in today’s data-driven landscape and how the Designer Cloud can help simplify and accelerate this process. Keep reading to learn how you can free up much needed resources for more crucial activities.
Data can only be used to generate accurate insights when it’s properly formatted and cleaned thoroughly. Therefore, the data cleansing and preparation process is a very crucial step to ensure good data hygiene as well as accuracy.
The industry has been steadily moving toward to the cloud to ease these burdens however, the benefits don’t stop there. Moving to the cloud allows users to easily access data through a browser, democratising analytics and providing the ability to scale.
Have you ever stumbled upon a folder that holds past invoices and receipts from years ago that you wish you could include in your current bookkeeping records? What if you had to scan physical receipts from business transactions and upload them into a cloud database? Imagine how tedious it would be to manually input these records into an Excel file every time you receive a new document.