In this blog, we will explore data modelling and ingestion concepts that can enable organisations to harness the power of big data.
With data becoming increasingly available and accessible, data visualisation has become crucial in ensuring that complex data relationships and insights are communicated in a way that is easily understood. In this blog, we will analyse two of the most popular data visualisation tools in the market, Tableau and Power BI.
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.
Imagine this – you are a customer relations analyst provided with spatial data to analyse the customer density of your customers within an area. Working with spatial data is known to be notoriously difficult, as spatial data varies widely in format, and could contain more than just location-specific data.
One of the most challenging tasks retailers face today is maximising gross margins while clearing goods and seasonal merchandise by a defined date. Understanding which items require a price change and how low to price stock is a critical component in balancing demand with inventory throughout the life of a product. Retailers too often take …
An in-depth look at two of the most popular data preparation tools. For many organisations, data is at the core of every conversation. More and more businesses are utilising Business Intelligence (BI) solutions to drive key business decisions. However, data has to go through a process workflow before being ready for analysis and visualisation.