What is Cluster Analysis? Cluster analysis, or clustering, is a type of unsupervised machine learning that allows users to group similar data points within a dataset according to some distance measure, without reference to a labelled dataset.  The significance of this analysis spans across various domains, from marketing and customer segmentation to fraud detection and beyond. In essence, cluster analysis helps to uncover patterns and relationships inherent in complex data by organising them into clusters or groups based on similarities. Providing a map of the data’s journey from ince ..read more

Table of Contents What is Market Basket Analysis? Market Basket Analysis (MBA) is a type of predictive analytics used to determine what products are usually bought together. It is a popular application of Association Rule Mining, a data mining method to find patterns or associations in data. Supermarkets often use MBA to analyse the purchasing behaviour of customers, which can help them to come up with data-driven strategies to boost sales. This often includes deciding which products should be placed close to each other, or which products should be discounted or bundled together. What ar ..read more

What is a Calendar Heat Map? A calendar map uses colour encoding to show data over specific dates; this can include showing aggregated data over months, weeks or days. They are useful for understanding and analysing patterns, trends and correlations within the data. Creating a Single Month Calendar in Tableau 1. Open Tableau Desktop, connect to the data source and ensure that the data includes a date field. 2. Go to a new worksheet, then drag the date field to the ‘Filters’ card and filter to a specific month / year period. 3. Drag the date field from the ‘Data’ pane onto the ‘Rows’ shelf ..read more

What is a Classic Heat Map? A classic heat map is a graphical representation of data where different values are represented by different colours in a grid or matrix format. The colours typically range from lighter tones for lower values to darker tones for higher values, similar to how heat is visually represented. The purpose of a heat map is to visualise the level or intensity of a certain variable across different categories or dimensions, highlighting patterns or trends in the data. Facilitating in Tableau 1. Open Tableau Desktop and connect to the desired data source. Make sure the dat ..read more

What is a Treemap? Treemaps are hierarchical representations of data in nested rectangles that use colour gradients to represent the density or intensity of a particular variable. In a treemap, each rectangle represents a specific data item and the size and colour of the rectangle usually represent different attributes of the data. The hierarchy is displayed by nesting rectangles within larger ones, with each level of the hierarchy represented by a different colour or shading. Treemaps provide a compact and efficient way to display large amounts of hierarchical information and allow users to ..read more

Heat maps are invaluable visual tools that quickly reveal valuable insights from vast datasets, empowering businesses to move forward with a clear understanding of their data. This article explores the diverse applications of heat maps, some of their different forms and their impact on data analysis and communication. What is a Heat Map? At the core of a heat map lies its ability to distil intricate datasets into visually impactful representations. By effortlessly highlighting trends, patterns and outliers, heat maps empower decision makers and analysts to quickly detect and understand hidde ..read more

Fuzzy matching, also known as fuzzy logic, is an innovative technology used in artificial intelligence and machine learning. It’s a process that identifies elements in data sets that are similar but not identical. Unlike typical search logic, which works on a binary pattern, fuzzy matching uses an algorithm that navigates intermediate degrees of certainty to find duplicate entries that may not share the exact same characteristics. In essence, it enables the identification of entries that are potentially misspelled, formatted differently or exist only in partial form. The Importance of Fuzzy ..read more

It’s no secret that being a customer-focused business can give you a competitive edge. But, to be truly customer focused you need to understand your customer. Manually finding the necessary data and getting it in the pipeline to be formatted and analysed, can be time consuming and tedious. That’s where the Salesforce Data Cloud for Tableau comes in. “Data Cloud for Tableau is the fastest and most scalable way to unlock customer data and help deliver actionable, real-time insights.” – Tableau What is Salesforce Data Cloud for Tableau? Salesforce Data Cloud for Tableau is a new offering t ..read more

In our previous blog post, we introduced Tableau’s product ecosystem and the different license types catering to the different roles in an organisation. In this post, we explain which licenses have access to which Tableau products they facilitate rapid analysis and insights sharing within an organisation. Tableau Products and Licenses Tableau Prep Builder Creator licenses only Tableau Desktop Creator licenses only Tableau Server Creator, Explorer & Viewer licenses  Below we discuss how different users can utilise Tableau to easily connect to their data from differ ..read more

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.  In this blog post, we will show you how you could use LOD calculations to express powerful concepts by using simple statements.  What is Level of Detail (LOD)?  Be ..read more