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.
Tableau is one of the most powerful business intelligence tools on the market, their groundbreaking solutions help to present data in an informative way through charts and graphs. With its best-in-class functionalities, Tableau can handle data regardless of the level of complexity and transform intricate calculations into insightful visualisations. This is where we will encounter Level of Detail (LOD) calculations.
The Oxford Dictionary defines a dashboard as a “Graphical summary of various pieces of information, typically used to give an overview of a business”.
Machine learning (ML), is a subdomain of Artificial Intelligence and is about teaching machines how to learn from a set of data. When applied properly, the machines learn to characterise patterns automatically in order to make strategic decisions. Not only is it a science, but it is also an art.
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.
I’m pretty sure we’re all familiar with the phrase ’Data is the new oil’. The phrase owes all credit to Clive Humby, a British Mathematician who proclaimed and gathered interest in it until The Economist published an edition titled “The world’s most valuable resource.”
Prescriptive Analytics is one of the most valuable and complex form of analytics. It inherits the output of other forms of analytics to transform and produce applicable insights and solutions.
In this blog, we will be looking at data lakes, including how they differ from data warehouses and how data is ingested, before concluding with a sample hybrid cloud data lake / warehouse implementation.
In this webinar you’ll learn about:
👍 Improving existing processes with Alteryx
👍 Data Formatting & Text Parsing use-case
👍 Reconciliation use-case
👍 Commonly used tools
👍 Inputs & outputs, macros, apps (and more!)
